World's Best Scientists 2026 revealed!
Proteomics - Clinical Applications
H-index 15

Proteomics - Clinical Applications

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 511 44 49 12
Medicine 2370 35 33 10

Additional Metrics

Number of Best Scientists*: 103
Documents by Best Scientists*: 86
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 67
SCIMAGO SJR: 0.671
Impact Factor: 2.5

Overview

Top Research Topics at Proteomics Clinical Applications?

The foci of Proteomics Clinical Applications are Proteomics, Proteome, Bioinformatics, Computational biology and Pathology. The concepts on Proteomics presented in the journal can also apply to other research fields, including Biomarker (medicine), Disease and Immunology. It explores research in Clinical significance and overlapping concepts in Oncology to expand the discourse in Biomarker (medicine).

It encompasses presentations on Immunology, specifically Antigen and Immune system. The studies on Proteome discussed can also contribute to research in the domains of Quantitative proteomics, Molecular biology, Urine, Urinary system and Cell biology. Proteomics Clinical Applications focuses on Molecular biology research which is adjacent to topics in Western blot.

Most of the Pathology studies addressed also intersect with Cancer. It focuses on Cancer as well as the interrelated topic of Cancer research. Internal medicine and Gastroenterology are closely related fields of research discussed in the journal.

  • Proteomics (46.89%)
  • Proteome (23.73%)
  • Bioinformatics (20.97%)

What are the most cited papers published in the journal?

  • Oligodendrocytes secrete exosomes containing major myelin and stress-protective proteins: Trophic support for axons? (338 citations)
  • Clinical proteomics: A need to define the field and to begin to set adequate standards. (276 citations)
  • Exosomes in bodily fluids are a highly stable resource of disease biomarkers. (241 citations)

Research areas of the most cited articles at Proteomics Clinical Applications:

The most cited publications mainly tackle studies in Proteomics, Bioinformatics, Proteome, Biomarker discovery and Pathology. While Proteomics is the key highlight in the most cited articles, thet also covered some subjects on Immunology and Oxidative stress. The published papers explore research in Disease and overlapping concepts in Cerebrospinal fluid to expand the discourse in Bioinformatics.

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

  • Gene
  • Internal medicine
  • Cancer

The previous edition focused in particular on these issues:

The journal is organized to address concerns in the fields of Proteome, Proteomics, Internal medicine, Clinical significance and Computational biology. While work presented in the journal provided substantial information on Proteome, it also covered topics in Cancer research, Blood proteins, Urine, Cell biology and Physiology. Topics in Proteomics explored in it were investigated in conjunction with research in Cell culture, Cell, Bioinformatics, Cancer cell and Western blot.

It focuses on Bioinformatics but sometimes tackles the closely related topic of Cohort which is concerned with Quantitative proteomics. The research on Internal medicine tackled can also make contributions to studies in the areas of Gastroenterology, Endocrinology and Immunoassay. The studies in Computational biology featured incorporate elements of Neurodegeneration and Mechanism (biology).

The most cited articles from the last journal are:

  • Value of Urine Peptides in Assessing Kidney and Cardiovascular Disease. (6 citations)
  • Proteome Analyses Reveal S100A11, S100P, and RBM25 Are Tumor Biomarkers in Colorectal Cancer. (4 citations)
  • Peptides in Plasma, Urine, and Dialysate: Toward Unravelling Renal Peptide Handling. (4 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 Proteomics Clinical Applications (based on the number of publications) are:

  • Harald Mischak (32 papers) published 2 papers at the last edition,
  • Michael J. Dunn (24 papers) absent at the last edition,
  • Jennifer E. Van Eyk (20 papers) published 1 paper at the last edition,
  • Mark Kriegsmann (17 papers) absent at the last edition,
  • Rémi Longuespée (16 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 Proteomics Clinical Applications (based on the number of publications) are:

  • Johns Hopkins University (33 papers) absent at the last edition,
  • French Institute of Health and Medical Research (30 papers) published 1 paper at the last edition,
  • National Institutes of Health (26 papers) absent at the last edition,
  • University of Glasgow (25 papers) published 1 paper at the last edition,
  • University College Dublin (23 papers) absent 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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.50% of all publications and 55.00% 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 Opportunities in Proteomics Field

While the Proteomics Clinical Applications journal offers insights and knowledge about the evolving field, it is also vital to acknowledge the potential career paths one can consider. For instance, a career in medical billing and coding can be lucrative, especially in states like Wyoming.

A medical biller and coder plays a critical role in the healthcare system as they ensure accuracy in coding diagnoses and procedures, submit claims to insurance firms, and coordinate with physicians and assistants to clarify ambiguous entries. It's a career path increasingly sought-after in the health informatics field.

In Wyoming, the demand for medical billers and coders is high, and the average salary is competitive. If you are in the bioinformatics or computational biology fields and are considering transitioning to this role, it's worth looking at the average salary for medical biller in Wyoming and understanding the steps to enter this profession.

Aside from medical billing and coding, several other career paths in clinical applications and research are related to Proteomics. These careers greatly contribute to our understanding of diseases and the development of new treatment approaches.

Irrespective of the career path you choose, keeping up to date with the latest research and advancements in the field will remain crucial. Journals such as Proteomics Clinical Applications provide vital resources for this lifelong learning journey.

Top Publications

  • Radiomics and Machine Learning in Oral Healthcare.

    André Ferreira Leite;André Ferreira Leite;Karla de Faria Vasconcelos;Holger Willems;Reinhilde Jacobs;Reinhilde Jacobs

    (2020)
    118 Citations
  • A Systematic Review of the Root Canal Microbiota Associated with Apical Periodontitis: Lessons from Next-Generation Sequencing.

    Daniel Manoil;Khaled Al‐Manei;Khaled Al‐Manei;Georgios N. Belibasakis

    (2020)
    76 Citations
  • Detection of Antimicrobial Resistance Using Proteomics and the Comprehensive Antibiotic Resistance Database: A Case Study.

    Chih‐yu Chen;Clifford G. Clark;Stacie Langner;David A. Boyd

    (2020)
    37 Citations
  • Value of Urine Peptides in Assessing Kidney and Cardiovascular Disease.

    Agnieszka Latosinska;Justyna Siwy;Stanislas Faguer;Stanislas Faguer;Joachim Beige

    (2021)
    36 Citations
  • Clinical applications of plasma proteomics and peptidomics: Towards precision medicine

    (2022)
    36 Citations
  • Salivary Microbiome Shifts in Response to Periodontal Treatment Outcome

    David Greenwood;Beral Afacan;Gulnur Emingil;Nagihan Bostanci

    (2020)
    34 Citations
  • Peptides in Plasma, Urine, and Dialysate: Toward Unravelling Renal Peptide Handling.

    Tianlin He;Martin Pejchinovski;William Mullen;Joachim Beige

    (2021)
    23 Citations
  • Proteomic profiling of human bone from different anatomical sites – A pilot study

    (2022)
    23 Citations

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Best Scientists Contributing to This Journal

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