Published by: Springer
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 34 | 48 | 80 | 28 |
| Biology and Biochemistry | 104 | 125 | 154 | 40 |
The objective of Cell discovery is to combine knowledge in the areas of Cell biology, Computational biology, Cancer research, Virology and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The work on Cell biology tackled in it brings together disciplines like Embryonic stem cell, Cell, Genetics, RNA and Gene. The journal investigates Computational biology research which frequently intersects with CRISPR.
The in-depth study on Cancer research also explores topics in the intersecting field of Cancer. Research on Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented in it concerns the broader topic of Coronavirus disease 2019 (COVID-19). Cell discovery connects the study in Coronavirus disease 2019 (COVID-19) with the closely related area of 2019-20 coronavirus outbreak.
The most cited papers focus largely on the fields of Cell biology, Gene, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Virology. Issues in Coronavirus disease 2019 (COVID-19) were discussed in the most cited publications, taking into consideration concepts from other disciplines like Drug, Public health and 2019-20 coronavirus outbreak. The published articles address concerns in the field of Virology by exploring it in line with topics in In vitro which intersect with Hydroxychloroquine, Pharmacology and Chloroquine subjects.
The main points discussed in Cell discovery deals with Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Virology, Coronavirus disease 2019 (COVID-19), Cell biology and Transcriptome. In Cell discovery, Virus and In vitro are investigated in conjunction with one another to address concerns in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) research. Antibody and Pandemic are some topics wherein Virology research discussed in it have an impact.
The concepts on Coronavirus disease 2019 (COVID-19) presented in Cell discovery can also apply to other research fields, including Vaccination and 2019-20 coronavirus outbreak. While work presented in the journal provided substantial information on Cell biology, it also covered topics in RNA, Intron, Small molecule, Transcription (biology) and Cell fate determination. The research on Transcriptome featured in Cell discovery combines topics in other fields like Cell, Gastrulation, Immunology, Computational biology and Embryo.
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 discovery (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 discovery (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, 76.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.28% of all publications and 10.31% 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.
Yadi Zhou;Yuan Hou;Jiayu Shen;Yin Huang
(2020)Willa Wen-You Yim;Noboru Mizushima
(2020)Paul S. Kwon;Hanseul Oh;Seok Joon Kwon;Weihua Jin;Weihua Jin
(2020)Kuo Liu;Muxue Tang;Qiaozhen Liu;Ximeng Han
(2020)Taki Nishimura;Sharon A Tooze
(2020)Qi Zhang;Catherine Zhengzheng Chen;Manju Swaroop;Miao Xu
(2020)Lu Guo;Xuehan Sun;Xinge Wang;Chen Liang
(2020)Fang Wang;Shujia Huang;Rongsui Gao;Yuwen Zhou
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