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Biomarker Research
H-index 26

Biomarker Research

2050-7771

Published by: Springer

https://biomarkerres.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 428 53 54 15
Medicine 1431 82 66 17

Additional Metrics

Number of Best Scientists*: 192
Documents by Best Scientists*: 145
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 60
SCIMAGO SJR: 3.296
Impact Factor: 11.5

Overview

Top Research Topics at Biomarker research?

The aim of the journal is to expand the discussion of research in Cancer research, Internal medicine, Oncology, Cancer and Biomarker (medicine). Aside from discussions in Cancer research, Biomarker research also deals with the subject of Immunotherapy which intersects with Tumor microenvironment disciplines. The studies in Internal medicine featured incorporate elements of Gastroenterology, Endocrinology and Pathology.

It explores issues in Oncology which can be linked to other research areas like Clinical trial, Proportional hazards model, Chemotherapy and Lymphoma. Specifically, studies on Diffuse large B-cell lymphoma are prevalent in the Lymphoma works discussed. The Cancer study featured in Biomarker research draws parallels with the field of Epigenetics.

Biomarker (medicine) research featured in Biomarker research incorporates concerns from various other topics such as Immunology and Bioinformatics. Immune system research is concerned with T cell in particular. Most of the works presented in the journal deals with Disease but it intersects with the subject of microRNA.

  • Cancer research (39.22%)
  • Internal medicine (31.09%)
  • Oncology (19.61%)

What are the most cited papers published in the journal?

  • Monocyte and macrophage differentiation: circulation inflammatory monocyte as biomarker for inflammatory diseases (533 citations)
  • Engineering CAR-T cells. (161 citations)
  • CD 123 is a membrane biomarker and a therapeutic target in hematologic malignancies (157 citations)

Research areas of the most cited articles at Biomarker research:

Bioinformatics, Biomarker (medicine), Cancer research, Pathology and Internal medicine are the main subjects of interest in the journal articles. The journal articles with studies in Cancer research featured incorporate elements of Cancer, Tumor progression, Immunotherapy and Epigenetics. The most cited papers explore issues in Internal medicine which can be linked to other research areas like Gastroenterology and Oncology.

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

  • Gene
  • Cancer
  • Internal medicine

The previous edition focused in particular on these issues:

The objective of Biomarker research is to combine knowledge in the areas of Cancer research, Internal medicine, Oncology, Cancer and Immune system. The Cancer research research dealing mostly with Tumor microenvironment is the focus of it. Biomarker research focused on Internal medicine research but expanded to cover Gastroenterology.

While Oncology is the focus of Biomarker research, it also provided insights into the studies of Targeted therapy, Clinical trial and Chronic lymphocytic leukemia. Cancer research presented in it encompasses a variety of subjects, including Stage (cooking) and Tumor cells. The presented studies in Neurofilament light fall within the purview of Biomarker (medicine) but it also intertwines with topics in Concussion and Traumatic brain injury.

The most cited articles from the last journal are:

  • Metabolic reprogramming in macrophage responses. (15 citations)
  • miR-21: a non‐specific biomarker of all maladies (11 citations)
  • Prolonged elevation of serum neurofilament light after concussion in male Australian football players (10 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 Biomarker research (based on the number of publications) are:

  • Delong Liu (16 papers) published 2 papers at the last edition,
  • Yangqiu Li (6 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Karin Jirström (6 papers) absent at the last edition,
  • Björn Nodin (6 papers) absent at the last edition,
  • Yongping Song (5 papers) published 1 paper at the last edition, 1 less than at the previous 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 Biomarker research (based on the number of publications) are:

  • Zhengzhou University (20 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • New York Medical College (17 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Peking Union Medical College (14 papers) published 7 papers at the last edition, 6 more than at the previous edition,
  • Zhejiang University (12 papers) published 5 papers at the last edition, 2 less than at the previous edition,
  • Shandong University (12 papers) published 6 papers at the last edition, 3 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.89% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.51% of all publications and 37.84% 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 Paths and Opportunities in Biomarker Research

Biomarker research is a multidisciplinary field that offers a wide range of career opportunities in various sectors such as Academia, Pharmaceuticals, Clinical Research Organizations and Medical Technology Companies. Aside from the positions for researchers and senior scientists, one field that contributes significantly to this discipline is Medical Coding and Billing. Medical coding and billing professionals play a critical role in the healthcare system by helping to translate medical procedures, diagnoses, and symptoms into standardized codes. This pertains to Biomarker research as these professionals must accurately code various types of biomarkers to ensure they are correctly tracked and billed for. Accuracy in this area is crucial for ensuring that the important work of biomarker research continues to receive the funding it needs. Becoming a medical coder in Nevada, for instance, involves obtaining relevant education and certification. Steps to becoming a proficient medical coder and biller, the benefits and potential career growth in this field, and insights into the Nevada specific landscape of this career can be found in our article onhow to become a medical biller and coder in Nevada. Biomarker research is an expanding field and the role of medical coders and billers will continue to evolve with it. Choosing a career in this field may be a beneficial decision considering the growing role of biomarkers in diagnosing and treating various diseases. Whether a researcher, a lab technician, a statistician, or a medical coder, there are many paths that can contribute meaningfully to this exciting and expanding field of science.

Top Publications

  • CAR-NK cells for cancer immunotherapy: from bench to bedside

    (2022)
    188 Citations
  • Advances in RNA cytosine-5 methylation: detection, regulatory mechanisms, biological functions and links to cancer.

    Chen Xue;Yalei Zhao;Lanjuan Li

    (2020)
    94 Citations
  • Epidemiological trends of women's cancers from 1990 to 2019 at the global, regional, and national levels: a population-based study.

    Ming Yi;Tianye Li;Mengke Niu;Suxia Luo

    (2021)
    92 Citations
  • The role of ferroptosis in lung cancer.

    Sikai Wu;Chengchu Zhu;Daolin Tang;Q. Ping Dou

    (2021)
    77 Citations
  • Clinical translation of patient-derived tumour organoids- bottlenecks and strategies

    (2022)
    67 Citations
  • Clinical characteristics and prognostic value of the KRAS G12C mutation in Chinese non-small cell lung cancer patients.

    Si-Yang Liu;Hao Sun;Jia-Ying Zhou;Guang-Ling Jie

    (2020)
    58 Citations
  • Organ specific responses to first-line lenvatinib plus anti-PD-1 antibodies in patients with unresectable hepatocellular carcinoma: a retrospective analysis

    Cheng Huang;Xiao-Dong Zhu;Ying-Hao Shen;Dong Wu

    (2021)
    57 Citations
  • Prolonged elevation of serum neurofilament light after concussion in male Australian football players

    Stuart J McDonald;Stuart J McDonald;William T O'Brien;Georgia F Symons;Zhibin Chen;Zhibin Chen

    (2021)
    53 Citations
  • p63 expression in human tumors and normal tissues: a tissue microarray study on 10,200 tumors

    Stefan Steurer;Claudia Riemann;Franziska Büscheck;Andreas M. Luebke

    (2021)
    53 Citations
  • Chimeric antigen receptor T cells targeting PD-L1 suppress tumor growth.

    Le Qin;Le Qin;Ruocong Zhao;Dongmei Chen;Xinru Wei

    (2020)
    52 Citations

Related Online Degrees & Career Pathways

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For aspiring advanced practice clinicians, understanding how to become nurse practitioner efficiently is crucial. These pathways often combine online coursework with clinical experience, accommodating working professionals seeking career growth without relocating or interrupting their current roles.

Best Scientists Contributing to This Journal