Published by: MDPI
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Genetics | 112 | 10 | 11 | 8 |
| Biology and Biochemistry | 456 | 38 | 51 | 14 |
The journal mainly tackles studies in Proteomics, Proteome, Computational biology, Cell biology and Biochemistry. The journal features works in Proteomics, more specifically Quantitative proteomics, and explores their relation to disciplines like Context (language use). Topics in Proteome were tackled in line with various other fields like Cancer research, Botany and Microbiology.
The in-depth study on Microbiology also explores topics in the intersecting field of Virulence. Research on Computational biology addressed in Proteome frequently intersections with the field of Identification (biology). Proteome focuses on Biochemistry research which is adjacent to topics in Skeletal muscle.
The studies tackled, which mainly focus on Gel electrophoresis, apply to Two-dimensional gel electrophoresis as well.
The most cited papers are organized to reinforce research efforts on Proteomics, Computational biology, Proteome, Bioinformatics and Biochemistry. The published papers address concerns in Proteomics which are intertwined with other disciplines, such as Exosome, Microvesicles, Transcriptome and Cancer research. The published articles facilitate discussions on Computational biology that incorporate concepts from other fields like Microbiome, Metaproteomics and Disease.
Proteomics, Computational biology, Proteome, Cell biology and Disease are among the topics commonly tackled in the journal. Proteome holds forums on Proteomics that merges themes from other disciplines such as Posttranslational modification and Immunology. While Computational biology is the focus of it, it also provided insights into the studies of Genome, Identification (biology), Peptide sequence, Histone and Peptide.
It covers Proteome research under the subject of Biochemistry. Proteome explores issues in Cell biology which can be linked to other research areas like Skeletal muscle, Cytoskeleton and Gene isoform. The studies in Disease featured incorporate elements of Homeostasis, Bioinformatics and Ephrin.
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 Proteome (based on the number of publications) are:
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 Proteome (based on the number of publications) are:
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.
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, 5.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.03% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.73% of all publications and 35.14% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Rahul Sanwlani;Pamali Fonseka;Sai V. Chitti;Suresh Mathivanan
(2020)Katrin Marcus;Cécile Lelong;Thierry Rabilloud
(2020)Paul Dowling;Stephen Gargan;Stephen Gargan;Sandra Murphy;Margit Zweyer
(2021)Lorenzo Catanese;Justyna Siwy;Emmanouil Mavrogeorgis;Kerstin Amann
(2021)Liliana Moreira-Costa;António S Barros;André P Lourenço;Adelino F Leite-Moreira
(2021)Juthamard Chantaraamporn;Voraratt Champattanachai;Voraratt Champattanachai;Amnart Khongmanee;Chris Verathamjamras
(2020)Andrej Trautmann;Lena Schleicher;Simon Deusch;Jochem Gätgens
(2020)Britta Eggers;Karin Schork;Michael Turewicz;Katalin Barkovits
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