Published by: Elsevier
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 36 | 49 | 60 | 27 |
| Biology and Biochemistry | 78 | 174 | 168 | 46 |
Cell systems primarily focuses on research topics in Computational biology, Cell biology, Gene, Genetics and Artificial intelligence. While work presented in it provided substantial information on Computational biology, it also covered topics in Cancer, Transcriptome, Proteomics and Genome. It links adjacent topics like Proteomics with Proteome.
In addition to Cell biology research, Cell systems aims to explore topics under Chromatin, Cell and Transcription factor. The journal primarily discusses Gene topics, particularly Gene expression, Regulation of gene expression and Phenotype. Artificial intelligence study tackled is connected to the field of Machine learning.
The published articles mostly deal with topics like Computational biology, Genetics, Gene, Cell biology and Transcriptome. The most cited publications explore topics in Computational biology which can be helpful for research in disciplines like Proteomics, Function (biology), Bioinformatics and Genomics. The research on Cell biology presented in the most cited publications often intersects with areas of study such as
The primary areas of discussion in the journal are Computational biology, Systems biology, Gene, Cell biology and Function (biology). The journal focuses on Computational biology but the discussions also offer insight into other areas such as Cancer, Cell, Transcriptome, Genome and Proteomics. While it focused on Systems biology, it was also able to explore topics like Field (computer science), Biological network and Synthetic biology.
Most of the Gene studies addressed also intersect with Cell type. The Cell biology works featured in the journal incorporate elements from RNA virus and Amyloid precursor protein. The research on Function (biology) featured in Cell systems combines topics in other fields like Cell growth and Protein–protein interaction.
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 Cell systems (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 Cell systems (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, 5.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.14% of all publications and 28.28% 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.
Christoph B. Messner;Vadim Demichev;Vadim Demichev;Daniel Wendisch;Laura Michalick
(2020)Katherine A. Overmyer;Evgenia Shishkova;Ian J. Miller;Joseph Balnis
(2021)Tristan Bepler;Bonnie Berger
(2021)Reka Hollandi;Abel Szkalisity;Timea Toth;Timea Toth;Ervin Tasnadi;Ervin Tasnadi
(2020)Matthias Mann;Chanchal Kumar;Wen-Feng Zeng;Maximilian T. Strauss
(2021)Vadim Demichev;Vadim Demichev;Vadim Demichev;Pinkus Tober-Lau;Oliver Lemke;Tatiana Nazarenko
(2021)Alexey Strokach;David Becerra;Carles Corbi-Verge;Albert Perez-Riba
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