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Clinical Chemistry
H-index 43

Clinical Chemistry

0009-9147

Published by: American Association for Clinical Chemistry

https://www.aacc.org/science-and-research/clinical-chemistry

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 420 421 481 38
Chemistry 647 51 65 11

Additional Metrics

Number of Best Scientists*: 793
Documents by Best Scientists*: 777
Top 100 Ranked Scientists*: 46
SCIMAGO H-index: 248
SCIMAGO SJR: 1.345
Impact Factor: 6.3

Overview

Top Research Topics at Clinical Chemistry?

The topics of Chromatography, Internal medicine, Endocrinology, Biochemistry and Urine are the focal point of discussions in Clinical Chemistry. Topics in Chromatography were tackled in line with various other fields like Immunoassay, Reagent and Analytical chemistry. While the journal focused on Internal medicine, it was also able to explore topics like Gastroenterology, Pathology and Cardiology.

Clinical Chemistry facilitated presentations on Endocrinology research, particularly Cholesterol and Blood plasma. The journal emphasizes research on Biochemistry, which includes concerns such as Enzyme. The Urine study featured in it draws parallels with the field of Urinary system.

  • Chromatography (31.79%)
  • Internal medicine (24.38%)
  • Endocrinology (17.28%)

What are the most cited papers published in the journal?

  • Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge (26175 citations)
  • The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments (9657 citations)
  • Enzymatic determination of total serum cholesterol. (7503 citations)

Research areas of the most cited articles at Clinical Chemistry:

The journal papers mostly deal with topics like Internal medicine, Chromatography, Endocrinology, Biochemistry and Pathology. The most cited papers with studies in Internal medicine featured incorporate elements of Gastroenterology and Cardiology. The most cited publications focus on Chromatography as well as the interrelated topics of Urine.

What topics the last edition of the journal is best known for?

  • Internal medicine
  • Enzyme
  • Disease

The previous edition focused in particular on these issues:

The journal is organized to address concerns in the fields of Internal medicine, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Cardiology and MEDLINE. It explores topics in Internal medicine which can be helpful for research in disciplines like Gastroenterology, Endocrinology and Oncology. Endocrinology research is the primary subject tackled in it with a focus on Cholesterol.

It facilitates discussions on Coronavirus disease 2019 (COVID-19) that incorporate concepts from other fields like Intensive care medicine, Virology and 2019-20 coronavirus outbreak. Cardiology works presented in the journal have a specific focus on Cardiac troponin. Clinical Chemistry focuses on MEDLINE but the discussions also offer insight into other areas such as Text mining and Pediatrics.

The most cited articles from the last journal are:

  • Rapid and extraction-free detection of SARS-CoV-2 from saliva by colorimetric reverse-transcription loop-mediated isothermal amplification. (61 citations)
  • Evaluation of high-throughput SARS-CoV-2 serological assays in a longitudinal cohort of patients with mild COVID-19: clinical sensitivity, specificity and association with virus neutralization test. (31 citations)
  • Commercial Serology Assays Predict Neutralization Activity Against SARS-CoV-2. (27 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Clinical Chemistry (based on the number of publications) are:

  • Eleftherios P. Diamandis (140 papers) absent at the last edition,
  • Fred S. Apple (127 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • Y.M. Dennis Lo (105 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Nader Rifai (101 papers) absent at the last edition,
  • Marek H. Dominiczak (84 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Clinical Chemistry (based on the number of publications) are:

  • Mayo Clinic (401 papers) published 18 papers at the last edition the same number as at the previous edition,
  • Washington University in St. Louis (345 papers) published 14 papers at the last edition, 7 less than at the previous edition,
  • Boston Children's Hospital (325 papers) published 9 papers at the last edition, 4 more than at the previous edition,
  • National Institutes of Health (291 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Harvard University (282 papers) published 9 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 3.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.95% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.53% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.16% of all publications and 44.36% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Prospects in Clinical Chemistry

While exploring the depths of Clinical Chemistry across various disciplines like Endocrinology, Biochemistry, Internal Medicine, and more, it is important to discuss the professional opportunities available in this dynamic field. A career in Clinical Chemistry often begins with fundamental education and training in the medical or health sciences. For instance, one can consider the role of a Nurse Practitioner.

A Nurse Practitioner (NP) is an advanced practice registered nurse (APRN) who can perform tasks beyond the remit of registered nurses, such as diagnosing conditions, conducting research, and even prescribing medications. Nurse Practitioners can also specialize in different areas, including those that extensively require knowledge of Clinical Chemistry. In South Carolina, for example, an aspiring NP must meet certain educational, licensure, and certification requirements which are detailed on our career guide: how to become a nurse practitioner in South Carolina.

The prospects for Clinical Chemistry professionals are widely varied, encompassing roles in research, diagnostics, pharmaceuticals, and education, among others. The earlier-mentioned disciplines enriched by the Clinical Chemistry perspective – Endocrinology, Biochemistry, Urine Studies – all further offer their own nuanced career paths. The opportunity to chart an innovative and impactful career is indeed an appealing aspect of being part of the Clinical Chemistry community and an important consideration when discussing the discipline.

Top Publications

  • Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia.

    Daniel K W Chu;Yang Pan;Yang Pan;Samuel M S Cheng;Kenrie P Y Hui

    (2020)
    1385 Citations
  • The Digital MIQE Guidelines Update: Minimum Information for Publication of Quantitative Digital PCR Experiments for 2020.

    Jim F Huggett

    (2020)
    315 Citations
  • Inflammation in Atherosclerosis-No Longer a Theory.

    Peter Libby

    (2021)
    217 Citations
  • Rapid and extraction-free detection of SARS-CoV-2 from saliva by colorimetric reverse-transcription loop-mediated isothermal amplification.

    Matthew A Lalli;Joshua S Langmade;Xuhua Chen;Catrina C Fronick

    (2021)
    193 Citations
  • Residual Cardiovascular Risk at Low LDL: Remnants, Lipoprotein(a), and Inflammation.

    Ron C Hoogeveen;Christie M Ballantyne

    (2021)
    181 Citations
  • Ultra-sensitive Serial Profiling of SARS-CoV-2 Antigens and Antibodies in Plasma to Understand Disease Progression in COVID-19 Patients with Severe Disease.

    Alana F Ogata;Alana F Ogata;Alana F Ogata;Adam M Maley;Adam M Maley;Adam M Maley;Connie Wu;Connie Wu;Connie Wu;Tal Gilboa;Tal Gilboa;Tal Gilboa

    (2020)
    163 Citations
  • National Kidney Foundation Laboratory Engagement Working Group Recommendations for Implementing the CKD-EPI 2021 Race-Free Equations for Estimated Glomerular Filtration Rate: Practical Guidance for Clinical Laboratories.

    (2021)
    140 Citations
  • Side-by-Side Comparison of Three Fully Automated SARS-CoV-2 Antibody Assays with a Focus on Specificity.

    Thomas Perkmann;Nicole Perkmann-Nagele;Marie-Kathrin Breyer;Robab Breyer-Kohansal

    (2020)
    132 Citations
  • Multicenter Evaluation of Circulating Cell-Free DNA Extraction and Downstream Analyses for the Development of Standardized (Pre)analytical Work Flows.

    Rita Lampignano;Martin H D Neumann;Sabrina Weber;Vera Kloten

    (2020)
    117 Citations
  • Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.

    He S Yang;He S Yang;Yu Hou;Ljiljana V Vasovic;Ljiljana V Vasovic;Peter A D Steel;Peter A D Steel

    (2020)
    102 Citations

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