1535-9476
Published by: American Society for Biochemistry and Molecular Biology
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 32 | 91 | 123 | 28 |
| Biology and Biochemistry | 96 | 316 | 342 | 41 |
| Chemistry | 339 | 67 | 96 | 23 |
The journal mostly deals with topics like Proteomics, Biochemistry, Proteome, Cell biology and Computational biology. Issues in Proteomics were discussed, taking into consideration concepts from other disciplines like Molecular biology, Chromatography, Tandem mass spectrometry and Bioinformatics. Research in Tandem mass spectrometry tackled falls within the umbrella of Mass spectrometry.
It tackles topics on Mass spectrometry, which can potentially contribute to the wider field of Analytical chemistry. The presentations discussing Biochemistry offer insights in topics such as Phosphorylation, Peptide sequence, Peptide, Glycosylation and Membrane protein. The study on Phosphorylation presented in the journal intersects with subjects under the field of Kinase.
The research on Glycosylation tackled can also make contributions to studies in the areas of Glycoprotein and Glycan. In the journal, Transcriptome, Stable isotope labeling by amino acids in cell culture and Gene are investigated in conjunction with one another to address concerns in Proteome research. The journal emphasizes research on Cell biology, which includes concerns such as Signal transduction.
The main points discussed in the published papers deal with Proteomics, Biochemistry, Proteome, Cell biology and Chromatography. While the most cited papers focused on Proteomics, they were also able to explore topics like Molecular biology, Tandem mass spectrometry, Computational biology and Bioinformatics. In addition to Chromatography research, the most cited articles aim to explore topics under Blood proteins and Peptide.
The objective of the journal is to combine knowledge in the areas of Proteomics, Computational biology, Cell biology, Proteome and Glycosylation. The overlapping concepts between Cancer research and Adenocarcinoma are the key highlights of Proteomics study. The journal goes beyond the discussion of Computational biology as it connects it with closely related disciplines like
Interferon, Transcription factor, Gene expression and Zebrafish are some topics wherein Cell biology research discussed in the journal have an impact. The journal holds forums on Proteome that merges themes from other disciplines such as Cancer, Protein degradation, Drosophila melanogaster, Quantitative proteomics and Phosphorylation. The discussions emphasized the topic of Glycan in an attempt to further explore the field of Biochemistry.
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 Molecular & Cellular Proteomics (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 Molecular & Cellular Proteomics (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, 4.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 44.87% 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.
Dorte B. Bekker-Jensen;Ana Martínez-Val;Sophia Steigerwald;Patrick Rüther
(2020)Ryan T. Kelly
(2020)Fengchao Yu;Sarah E. Haynes;Alexey I. Nesvizhskii
(2021)Fengchao Yu;Sarah E. Haynes;Guo Ci Teo;Dmitry M. Avtonomov
(2020)Lindsay K. Pino;Seth C. Just;Michael J. MacCoss;Brian C. Searle
(2020)Payman Samavarchi-Tehrani;Reuben Samson;Anne-Claude Gingras;Anne-Claude Gingras
(2020)Yafeng Zhu;Lukas M. Orre;Yan Zhou Tran;Georgios Mermelekas
(2020)Nicholas M. Riley;Carolyn R. Bertozzi;Sharon J. Pitteri
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