| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 33 | 57 | 62 | 28 |
| Biology and Biochemistry | 92 | 145 | 153 | 43 |
The aim of the journal is to expand the discussion of research in Genetics, Computational biology, Cell biology, Gene and Systems biology. It primarily discusses Genetics topics, particularly Regulation of gene expression, Gene regulatory network, Gene expression, Genome and Transcription factor. The work on Regulation of gene expression addressed in it expands to the thematically related Transcriptional regulation.
It facilitates discussions on Computational biology that incorporate concepts from other fields like Transcriptome, Proteomics, Bioinformatics and Protein–protein interaction. Proteomics study tackled is connected to the field of Proteome. Topics in Cell biology explored in the journal were investigated in conjunction with research in Cell cycle, Cell and Cellular differentiation.
As a part of Molecular Systems Biology, discussions in Gene involve topics like Gene expression profiling, Phenotype, Promoter, Transcription (biology) and Saccharomyces cerevisiae. Molecular Systems Biology explores studies in Saccharomyces cerevisiae as part of the wider topic of Biochemistry. The study on Systems biology presented in the journal intersects with the topics under Data science.
The main points discussed in the journal publications deal with Genetics, Computational biology, Systems biology, Cell biology and Bioinformatics. The Computational biology research tackled in the journal articles is interrelated with Proteome which concerns subjects like Transcriptome. While the journal publications focused on Systems biology, they were also able to explore topics like Biological system, Biochemistry, Metabolic network and Robustness (evolution).
Molecular Systems Biology is mainly concerned with subjects like Computational biology, Cell biology, Gene, Transcription factor and Gene expression. The studies in Computational biology featured incorporate elements of Amino acid, Proteome and Transcriptome. Cell biology research presented in the journal encompasses a variety of subjects, including Chromatin, Cell cycle, Phenotype and RNA splicing.
Molecular Systems Biology focuses on Phenotype research as part of the broader topic of Genetics. Most of the works presented in the journal deals with Gene but it intersects with the subject of Function (biology). Studies on Gene expression discussed in the journal link to the field of Regulation of gene expression.
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 Systems Biology (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 Systems Biology (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.57% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.68% of all publications and 17.57% 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.
Feria Hikmet;Loren Méar;Åsa Edvinsson;Patrick Micke
(2020)Chenling Xu;Romain Lopez;Edouard Mehlman;Edouard Mehlman;Jeffrey Regier
(2021)Jakob M Bader;Philipp E Geyer;Philipp E Geyer;Johannes B Müller;Maximilian T Strauss
(2020)Sarah M. Keating;Sarah M. Keating;Dagmar Waltemath;Matthias König;Fengkai Zhang
(2020)Dénes Türei;Alberto Valdeolivas;Lejla Gul;Nicolàs Palacio-Escat;Nicolàs Palacio-Escat
(2021)Torsten Müller;Torsten Müller;Mathias Kalxdorf;Mathias Kalxdorf;Rémi Longuespée;Daniel N Kazdal
(2020)Volker Bergen;Ruslan A Soldatov;Peter V Kharchenko;Fabian J Theis
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