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Biomarkers
H-index 14

Biomarkers

1354-750X

Published by: Taylor & Francis

https://www.tandfonline.com/toc/ibmk20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 2145 79 52 11

Additional Metrics

Number of Best Scientists*: 119
Documents by Best Scientists*: 85
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 77
SCIMAGO SJR: 0.5
Impact Factor: 1.9

Overview

Top Research Topics at Biomarkers?

The journal focuses largely on the fields of Internal medicine, Biomarker (medicine), Endocrinology, Pathology and Immunology. The featured works in Heart failure, which all belong in the domain if Internal medicine, also overlaps with concepts under In patient. Urinary system, Urine, Disease and Bioinformatics are some topics wherein Biomarker (medicine) research discussed in Biomarkers have an impact.

The Urinary system study tackled is a key component of adjacent topics in the area of Creatinine. The study on Urine presented is investigated in conjunction with research in Metabolite. It investigates Pathology research which frequently intersects with Cancer.

It focuses on Cancer research which is adjacent to topics in Cancer research. The main emphasis of it is the subject of Immunology, focusing on Inflammation. Biomarkers emphasizes research on Cardiology, which includes concerns such as Myocardial infarction.

  • Internal medicine (40.52%)
  • Biomarker (medicine) (18.86%)
  • Endocrinology (14.92%)

What are the most cited papers published in the journal?

  • Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis (392 citations)
  • Glutathione levels in human tumors. (282 citations)
  • Clinical significance of preoperative neutrophil-lymphocyte versus platelet-lymphocyte ratio in patients with operable colorectal cancer (250 citations)

Research areas of the most cited articles at Biomarkers:

The most cited publications focus on Internal medicine, Biomarker (medicine), Endocrinology, Pathology and Biochemistry. The published papers focus on Internal medicine but the discussions also offer insight into other areas such as Gastroenterology, Immunology, Oncology and Cardiology. The most cited publications focus on Pathology but sometimes tackle the closely related topic of Cancer which is concerned with Cancer research.

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

  • Internal medicine
  • Gene
  • Cancer

The previous edition focused in particular on these issues:

The scientific interests tackled in the journal are Internal medicine, Oncology, Biomarker (medicine), Oxidative stress and Cancer. The research on Internal medicine featured in it combines topics in other fields like Gastroenterology, Endocrinology and Cardiology. Topics in Oncology explored in it were investigated in conjunction with research in Disease, Pancreatic cancer, Diagnostic biomarker and Prostate cancer.

The overlapping concepts between Inflammation and Receptor are the key highlights of Biomarker (medicine) study. Biomarkers addresses concerns in the field of Oxidative stress by exploring it in line with topics in Antioxidant which intersect with Aquatic ecosystem and Environmental chemistry subjects. Cancer research presented in it encompasses a variety of subjects, including Microvesicles and Stromal cell.

The most cited articles from the last journal are:

  • SARS-CoV-2 antigen rapid immunoassay for diagnosis of COVID-19 in the emergency department. (20 citations)
  • The Receptor for Advanced Glycation End Product (RAGE) Pathway in COVID-19. (12 citations)
  • IMPDH2 is highly expressed in breast cancer and predicts unfavourable prognosis. (9 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 Biomarkers (based on the number of publications) are:

  • Morten A. Karsdal (14 papers) absent at the last edition,
  • Martin Möckel (11 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Joachim D. Pleil (11 papers) absent at the last edition,
  • Paolo Vineis (11 papers) absent at the last edition,
  • Alfred Bernard (11 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 Biomarkers (based on the number of publications) are:

  • National Institutes of Health (29 papers) published 1 paper at the last edition,
  • Peking University (27 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Charité (26 papers) published 1 paper at the last edition, 6 less than at the previous edition,
  • Columbia University (24 papers) absent at the last edition,
  • Karolinska Institutet (19 papers) published 1 paper at the last 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, 31.03% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 76.25% 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.

Exploration of Biomarker Research's Impact on Medical Studies

In addition to highlighting the scope and diversity of content appearing in the Biomarkers journal, it's also valuable to understand how the research featured in this publication indirectly impacts a range of medical disciplines and studies, especially in the field of nursing. Recognizing the intersection between diverse health disciplines often leads to groundbreaking discoveries and innovations in healthcare practice and delivery.

For instance, the understanding of biomarkers in diseases and body processes plays a critical role in enhancing the outcomes in nursing care. Specific biomarkers may help in early disease detection, monitoring treatment response, and predicting patient’s prognosis, making nursing interventions more personalized and effective.

It cannot be overstated how much nursing education equips future nurses with the necessary understanding of such crucial medical aspects. Thus, resources such as online nursing schools in best online nursing programs in north carolina are vital in shaping a well-rounded, informed nursing workforce ready to apply such knowledge in real-world settings and contribute to advancements in the field.

The integration of biomarker knowledge in nursing programs is a testament to how the research featured in the Biomarkers journal transcends its immediate medical scope to influence boarder healthcare study areas. Therefore, engaging and supporting such multidisciplinary research remains paramount in redefining healthcare practice and education.

Top Publications

  • Elevated CEA and CA19-9 serum levels independently predict advanced pancreatic cancer at diagnosis

    Labrinus van Manen;Jesse V Groen;Hein Putter;Alexander L Vahrmeijer

    (2020)
    86 Citations
  • SARS-CoV-2 antigen rapid immunoassay for diagnosis of COVID-19 in the emergency department.

    Martin Möckel;Victor M. Corman;Miriam S. Stegemann;Jörg Hofmann

    (2021)
    74 Citations
  • Galectin-3, GDF-15, and sST2 for the assessment of disease severity and therapy response in patients suffering from inoperable chronic thromboembolic pulmonary hypertension

    (2020)
    39 Citations
  • Predictive value of metabolomic biomarkers for cardiovascular disease risk: a systematic review and meta-analysis

    Peter McGranaghan;Peter McGranaghan;Anshul Saxena;Muni Rubens;Jasmin Radenkovic

    (2020)
    32 Citations
  • Enhanced clinical phenotyping by mechanistic bioprofiling in heart failure with preserved ejection fraction: insights from the MEDIA-DHF study (The Metabolic Road to Diastolic Heart Failure).

    Susan Stienen;João Pedro Ferreira;João Pedro Ferreira;Masatake Kobayashi;Gregoire Preud'homme

    (2020)
    30 Citations
  • Investigation of glial fibrillary acidic protein (GFAP) in body fluids as a potential biomarker for glioma: a systematic review and meta-analysis

    Jessy V. van Asperen;Daria M. Fedorushkova;Pierre A.J.T. Robe;Elly M. Hol

    (2021)
    21 Citations
  • Plasma Tenascin-C: a prognostic biomarker in heart failure with preserved ejection fraction.

    Prathap Kanagala;Jayanth R Arnold;Jamal N Khan;Anvesha Singh

    (2020)
    18 Citations
  • Copeptin combined with either non-high sensitivity or high sensitivity cardiac troponin for instant rule-out of suspected non-ST segment elevation myocardial infarction.

    Evangelos Giannitsis;Anna Slagman;Christian W Hamm;Stefan Gehrig

    (2020)
    14 Citations
  • Clinicopathologic features and prognostic significance of CD30 expression in de novo diffuse large B-cell lymphoma (DLBCL): results in a homogeneous series from a single institution.

    María Queralt Salas;Fina Climent;Gustavo Tapia;Eva DomingoDomènech

    (2020)
    14 Citations
  • SPARCL1 as a biomarker of maladaptive right ventricular remodelling in pulmonary hypertension

    Stanislav Keranov;Oliver Dörr;Leili Jafari;Christoph Liebetrau

    (2020)
    14 Citations

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