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Journal of Proteome Research
H-index 51

Journal of Proteome Research

1535-3893

Published by: American Chemical Society Publications

https://pubs.acs.org/journal/jprobs

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 85 388 620 44
Chemistry 183 197 337 37

Additional Metrics

Number of Best Scientists*: 996
Documents by Best Scientists*: 1119
Top 100 Ranked Scientists*: 32
SCIMAGO H-index: 191
SCIMAGO SJR: 1.139
Impact Factor: 3.6

Overview

Top Research Topics at Journal of Proteome Research?

The journal covers a variety of subjects, including Proteomics, Biochemistry, Proteome, Chromatography and Computational biology. The journal holds forums on Proteomics that merges themes from other disciplines such as Molecular biology, Bioinformatics and Cell biology. The Cell biology research dealing mostly with Signal transduction is the focus of it.

The journal connects research in Biochemistry with the related topic of Metabolomics. While Journal of Proteome Research focused on Metabolomics, it was also able to explore topics like Metabolite and Internal medicine. Topics in Proteome explored in the journal were investigated in conjunction with research in Transcriptome, Gene, Microbiology and Human proteome project.

It explores research in Chromatography and the adjacent study of Peptide. Journal of Proteome Research encompasses Mass spectrometry studies in the context of Analytical chemistry as a whole. The research on Glycosylation discussed in the journal draws on the closely related field of Glycan.

  • Proteomics (29.37%)
  • Biochemistry (25.21%)
  • Proteome (24.36%)

What are the most cited papers published in the journal?

  • Andromeda: a peptide search engine integrated into the MaxQuant environment (3511 citations)
  • Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome. (1475 citations)
  • Open mass spectrometry search algorithm. (1256 citations)

Research areas of the most cited articles at Journal of Proteome Research:

The most cited publications mainly deal with areas of study such as Proteomics, Biochemistry, Proteome, Chromatography and Mass spectrometry. The published papers with studies in Proteomics featured incorporate elements of Molecular biology, Computational biology, Bioinformatics and Cell biology. The works on Chromatography tackled in the journal articles bring together disciplines like Matrix-assisted laser desorption/ionization, Trypsin, Peptide and Shotgun proteomics.

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 Journal of Proteome Research (based on the number of publications) are:

  • Katie Cottingham (133 papers) absent at the last edition,
  • John R. Yates (84 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Richard D. Smith (82 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Elaine Holmes (81 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Jeremy K. Nicholson (79 papers) published 5 papers at the last edition, 2 more 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 Journal of Proteome Research (based on the number of publications) are:

  • Chinese Academy of Sciences (275 papers) published 12 papers at the last edition, 11 less than at the previous edition,
  • University of Washington (167 papers) published 12 papers at the last edition, 1 less than at the previous edition,
  • Imperial College London (141 papers) published 8 papers at the last edition the same number as at the previous edition,
  • University of Michigan (141 papers) published 8 papers at the last edition, 2 less than at the previous edition,
  • Max Planck Society (140 papers) published 1 paper at the last edition, 4 less 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, 4.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.62% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.56% of all publications and 59.82% 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 for Pharmacists Specialized in Proteome Research

The Journal of Proteome Research can open doors for those intending to expand their career in proteomics and related fields. Thus, it could extend to areas such as Mass spectrometry, Transcriptomics, and Glycan. A career path that is often overlooked but highly relevant in this field is a licensed pharmacist. Pharmacists have a unique opportunity to leverage their expertise in this field, as they can use the knowledge of proteomic research to further their understanding of drug metabolism and interactions, which can greatly enhance their practice. For those considering this career route, the state of Kansas, for example, offers rewarding opportunities for licensed pharmacists, particularly for those with specializations in Proteomics. The prerequisites and procedures to become a licensed pharmacist in Kansas requires a careful understanding of the educational and examination requirements in the state. Find more useful information on this topic in the following [how to be a pharmacist in Kansas](https://research.com/careers/how-to-become-a-licensed-pharmacist-in-kansas). Combining a pharmacy license with a solid grounding in proteome research can be a meaningful career path, offering a chance to significantly contribute to personalized medicine and drug discovery efforts. It's certainly worth studying and preparing for, which the Journal of Proteome Research can aid in keeping you updated with the latest advances in this field.

Top Publications

  • Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics

    Kendra J. Adams;Brian Pratt;Neelanjan Bose;Laura G. Dubois

    (2020)
    572 Citations
  • Evidence of Structural Protein Damage and Membrane Lipid Remodeling in Red Blood Cells from COVID-19 Patients.

    Tiffany Thomas;Davide Stefanoni;Monika Dzieciatkowska;Aaron Issaian

    (2020)
    277 Citations
  • Nucleotide Analogues as Inhibitors of SARS-CoV-2 Polymerase, a Key Drug Target for COVID-19.

    Minchen Chien;Thomas K Anderson;Steffen Jockusch;Chuanjuan Tao

    (2020)
    276 Citations
  • Full-featured, real-time database searching platform enables fast and accurate multiplexed quantitative proteomics

    Devin K Schweppe;Jimmy K Eng;Qing Yu;Derek Bailey

    (2020)
    242 Citations
  • Mass Spectrometric Identification of SARS-CoV-2 Proteins from Gargle Solution Samples of COVID-19 Patients.

    Christian Ihling;Dirk Tänzler;Sven Hagemann;Astrid Kehlen

    (2020)
    241 Citations
  • Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.

    Xiangxiang Zeng;Xiang Song;Tengfei Ma;Xiaoqin Pan

    (2020)
    240 Citations
  • TMTpro-18plex: The Expanded and Complete Set of TMTpro Reagents for Sample Multiplexing

    Jiaming Li;Zhenying Cai;Ryan D Bomgarden;Ian Pike

    (2021)
    218 Citations
  • Serum Proteomics in COVID-19 Patients: Altered Coagulation and Complement Status as a Function of IL-6 Level.

    Angelo D’Alessandro;Tiffany Thomas;Monika Dzieciatkowska;Ryan C. Hill

    (2020)
    212 Citations

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