There is now indisputable evidence that the coronavirus disease 2019 (COVID-19) pandemic has not only had a dramatic impact on healthcare, society and the economy, but has also disrupted the world of scientific publishing [1]. As shown in Figure 1, the number of articles with the terms “COVID-19” OR “SARS-CoV-2” in Scopus, Web of Science and PubMed increased exponentially between 2020 and 2021, stabilized in 2022, and then showed a predictable decline in 2023 due to the reduced clinical burden of the latest SARS-CoV-2 variants of the “Omicron strain”, which is reflected in a renewed focus on “traditional” research topics (e.g., cancer, cardiovascular diseases, diabetes, etc.). Nevertheless, the number of articles containing the words “COVID-19” OR “SARS-CoV-2” in the period 2018–2022 was 578,893 in Scopus, 519,539 in Web of Science and 455,792 in PubMed, respectively. It is therefore not surprising that, especially in the initial phase of the pandemic, a few seminal papers have attracted an enormous number of citations, which has led to a kind of “inflated” impact factor (IF) in the last two years [2]. In fact, the IF of many scientific medical journals has reached an all-time high in the 2021 edition of the Clarivate Journal of Citation Report (JCR).

Number of articles published in Scopus, Web of Science and PubMed between 2020 and 2023, containing the words “COVID-19” OR “SARS-CoV-2”.
As for Clinical Chemistry and Laboratory Medicine (CCLM) [3], IF peaked at 8.49 in the 2021 edition of the JCR, then declined to 6.8 in the 2022 edition of the JCR and stabilized at 3.8 in the latest (2023) edition of the JCR, which is still 3 % higher than the last pre-pandemic value (i.e., 3.69). CCLM has also remained in the Q1 of the category “MEDICAL LABORATORY TECHNOLOGY”, with an IF score well above the median value of all journals in this category (i.e., 2.4). It is therefore not surprising that the number of COVID-19 articles in the top 10 list of those which contributed most to CCLM’s IF for 2021 and 2022 was 9/10, while only 3/10 COVID-19 articles appear in the top 10 list of articles that contributed most to the IF for 2023 [4], [5], [6], reflecting something of a return to normality.
These general considerations about IF aside, and notwithstanding the inherent ambiguity and potential flaws of journal IFs [7], CCLM remains a leading journal in the field of laboratory diagnostics after more than 60 years [8], along with its younger “sister” journal Diagnosis (Dx), whose IF is still as high as 2.2. The sudden drop in IF from 2023 does not discourage us at all, because we are in good company and the cause (the COVID-19 pandemic) is well known. Our rejection rate is still between 80 and 85 %, which means that the quality of the articles we publish is still high. We have not been – and certainly will not be – inclined to inflate our IF with tricks, as some journals – that have been excluded from the JCR recently – may have done. Our main aim remains unchanged, namely to publish valid, scientifically sound and interesting articles on clinical laboratory medicine, and we would like to thank once again the Associated Editors, all members of the Editorial Board, the editorial team in Berlin and all our reviewers, whose qualified work continues to be fundamental to maintaining high quality in the articles we publish.
References
1. Riccaboni, M, Verginer, L. The impact of the COVID-19 pandemic on scientific research in the life sciences. PLoS One 2022;17:e0263001. https://doi.org/10.1371/journal.pone.0263001.Search in Google Scholar PubMed PubMed Central
2. Delardas, O, Giannos, P. How COVID-19 affected the journal impact factor of high impact medical journals: bibliometric analysis. J Med Internet Res 2022;24:e43089. https://doi.org/10.2196/43089.Search in Google Scholar PubMed PubMed Central
3. Lippi, G, Plebani, M. Clinical Chemistry and Laboratory Medicine: enjoying the present and assessing the future. Clin Chem Lab Med 2022;60:1313–5. https://doi.org/10.1515/cclm-2022-0627.Search in Google Scholar PubMed
4. Cabitza, F, Campagner, A, Ferrari, D, Di Resta, C, Ceriotti, D, Sabetta, E, et al.. Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests. Clin Chem Lab Med 2020;59:421–31. https://doi.org/10.1515/cclm-2020-1294.Search in Google Scholar PubMed
5. Carpenè, G, Onorato, D, Nocini, R, Fortunato, G, Rizk, JG, Henry, BM, et al.. Blood lactate concentration in COVID-19: a systematic literature review. Clin Chem Lab Med 2021;60:332–7. https://doi.org/10.1515/cclm-2021-1115.Search in Google Scholar PubMed
6. Vianello, A, Guarnieri, G, Braccioni, F, Lococo, S, Molena, B, Cecchetto, A, et al.. The pathogenesis, epidemiology and biomarkers of susceptibility of pulmonary fibrosis in COVID-19 survivors. Clin Chem Lab Med 2021;60:307–16. https://doi.org/10.1515/cclm-2021-1021.Search in Google Scholar PubMed
7. Lippi, G, Borghi, L. A short story on how the H-index may change the fate of scientists and scientific publishing. Clin Chem Lab Med 2014;52:e1–3. https://doi.org/10.1515/cclm-2013-0715.Search in Google Scholar PubMed
8. Favresse, J, Douxfils, J, Henry, B, Lippi, G, Plebani, M. Clinical Chemistry and Laboratory Medicine celebrates 60 years – narrative review devoted to the contribution of the journal to the diagnosis of SARS-CoV-2. Clin Chem Lab Med 2022;61:811–21. https://doi.org/10.1515/cclm-2022-1166.Search in Google Scholar PubMed
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorials
- EFLM European Urinalysis Guideline
- Clinical Chemistry Laboratory Medicine in the post-acute COVID-19 era
- EFLM Guideline
- The EFLM European Urinalysis Guideline 2023
- Review
- Approaching sustainability in Laboratory Medicine
- Opinion Papers
- New reimbursement models to promote better patient outcomes and overall value in laboratory medicine and healthcare
- Screening for sickle cell disease: focus on newborn investigations
- Genetics and Molecular Diagnostics
- The role of Killer immunoglobulin-like receptors (KIRs) in the genetic susceptibility to non-celiac wheat sensitivity (NCWS)
- General Clinical Chemistry and Laboratory Medicine
- Understanding the limitations of your assay using EQA data with serum creatinine as an example
- Add-on testing: stability assessment of 63 biochemical analytes in centrifuged and capped samples stored at 16 °C
- Smartphone swabs as an emerging tool for toxicology testing: a proof-of-concept study in a nightclub
- Allergy: Evaluation of 16 years (2007–2022) results of the shared external quality assessment program in Belgium, Finland, Portugal and The Netherlands
- Cancer Diagnostics
- Monoclonal whole IgG impairs both fibrin and thrombin formation: hemostasis and surface plasmon resonance studies
- Cardiovascular Diseases
- Patients with antiphospholipid syndrome and a first venous or arterial thrombotic event: clinical characteristics, antibody profiles and estimate of the risk of recurrence
- Letters to the Editor
- Familial dysalbuminemic hyperthyroxinemia coexisting with a Grave’s disease: a Belgian case report
- Diagnostic challenge between a frequent polygenic hypocholesterolemia and an unusual Smith Lemli Opitz syndrome related to bi-allelic DHCR7 mutations
- First reported co-occurrence of Philadelphia chromosome-positive B-cell acute lymphoblastic leukemia with pseudo Chediak-Higashi anomaly and complex karyotype
- Facing the new IVD Regulation 2017/746: Contract Research Organizations (CROs), key partners of IVDs manufacturers for compliance
- Comprehensive analysis and clinical case studies on pseudoeosinophilia: insights and implications – unraveling the complexity: analytical approaches and clinical significance
- Misdiagnosis of type 2B von Willebrand disease as immune thrombocytopenia in a thrombocytopenic patient
- Biological matrices, reagents and turnaround-time: the full-circle of artificial intelligence in the pre-analytical Phase. Comment on Turcic A, et al., Machine learning to optimize cerebrospinal fluid dilution for analysis of MRZH reaction. CCLM 2024;62:436–41
Articles in the same Issue
- Frontmatter
- Editorials
- EFLM European Urinalysis Guideline
- Clinical Chemistry Laboratory Medicine in the post-acute COVID-19 era
- EFLM Guideline
- The EFLM European Urinalysis Guideline 2023
- Review
- Approaching sustainability in Laboratory Medicine
- Opinion Papers
- New reimbursement models to promote better patient outcomes and overall value in laboratory medicine and healthcare
- Screening for sickle cell disease: focus on newborn investigations
- Genetics and Molecular Diagnostics
- The role of Killer immunoglobulin-like receptors (KIRs) in the genetic susceptibility to non-celiac wheat sensitivity (NCWS)
- General Clinical Chemistry and Laboratory Medicine
- Understanding the limitations of your assay using EQA data with serum creatinine as an example
- Add-on testing: stability assessment of 63 biochemical analytes in centrifuged and capped samples stored at 16 °C
- Smartphone swabs as an emerging tool for toxicology testing: a proof-of-concept study in a nightclub
- Allergy: Evaluation of 16 years (2007–2022) results of the shared external quality assessment program in Belgium, Finland, Portugal and The Netherlands
- Cancer Diagnostics
- Monoclonal whole IgG impairs both fibrin and thrombin formation: hemostasis and surface plasmon resonance studies
- Cardiovascular Diseases
- Patients with antiphospholipid syndrome and a first venous or arterial thrombotic event: clinical characteristics, antibody profiles and estimate of the risk of recurrence
- Letters to the Editor
- Familial dysalbuminemic hyperthyroxinemia coexisting with a Grave’s disease: a Belgian case report
- Diagnostic challenge between a frequent polygenic hypocholesterolemia and an unusual Smith Lemli Opitz syndrome related to bi-allelic DHCR7 mutations
- First reported co-occurrence of Philadelphia chromosome-positive B-cell acute lymphoblastic leukemia with pseudo Chediak-Higashi anomaly and complex karyotype
- Facing the new IVD Regulation 2017/746: Contract Research Organizations (CROs), key partners of IVDs manufacturers for compliance
- Comprehensive analysis and clinical case studies on pseudoeosinophilia: insights and implications – unraveling the complexity: analytical approaches and clinical significance
- Misdiagnosis of type 2B von Willebrand disease as immune thrombocytopenia in a thrombocytopenic patient
- Biological matrices, reagents and turnaround-time: the full-circle of artificial intelligence in the pre-analytical Phase. Comment on Turcic A, et al., Machine learning to optimize cerebrospinal fluid dilution for analysis of MRZH reaction. CCLM 2024;62:436–41