| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 120 | 10 | 17 | 9 |
| Plant Science and Agronomy | 124 | 49 | 63 | 16 |
| Biology and Biochemistry | 421 | 71 | 81 | 15 |
Plant Signaling & Behavior is mainly concerned with subjects like Cell biology, Arabidopsis, Botany, Biochemistry and Gene. While it focused on Cell biology, it was also able to explore topics like Gene expression, Transcription factor and Auxin. The research on Arabidopsis featured in the journal combines topics in other fields like Arabidopsis thaliana, Abscisic acid and Meristem.
Biophysics, Symbiosis and Plant defense against herbivory are some topics wherein Botany research discussed in it have an impact. Some problems in Biochemistry that were presented in the journal overlapped with concepts under Nitric oxide and Function (biology). Wild type is a primary topic of Mutant research in Plant Signaling & Behavior.
Regulation of gene expression is a major topic of Genetics research presented in it.
The journal articles primarily focus on research topics in Botany, Cell biology, Biochemistry, Arabidopsis and Signal transduction. The Cell biology research tackled in the most cited papers is interrelated with Abiotic stress which concerns subjects like Abiotic component. The most cited articles explore issues in Arabidopsis which can be linked to other research areas like Arabidopsis thaliana and Transcription factor.
Plant Signaling & Behavior facilitates discussions on Cell biology, Arabidopsis, Gene, Arabidopsis thaliana and Mutant. Signal transduction is part of Cell biology studies tackled in it. The journal focuses on Arabidopsis but sometimes tackles the closely related topic of Auxin which is concerned with Botany.
The journal explores studies in Gene as part of the wider topic of Genetics. It explores issues in Arabidopsis thaliana which can be linked to other research areas like Hypocotyl, Computational biology and Brassinosteroid. While Mutant is the focus of it, it also provided insights into the studies of Mutation and Endogeny.
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 Plant Signaling & Behavior (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 Plant Signaling & Behavior (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, 3.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.11% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.55% of all publications and 71.91% 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.
Pengfei Diao;Chong Chen;Yuzhen Zhang;Qingwei Meng
(2020)Hsuan-Ju Tsai;Ko-Hsuan Shao;Ming-Tsair Chan;Chiu-Ping Cheng
(2020)Tajammul Husain;Abreeq Fatima;Mohammad Suhel;Samiksha Singh
(2020)Hany G Abd El-Gawad;Soumya Mukherjee;Reham Farag;Ola H Abd Elbar
(2021)Canhong Gao;Canhong Gao;Mohamed S Sheteiwy;Jiajun Han;Zhaorong Dong
(2020)Faraj Hijaz;Fuad Al-Rimawi;Fuad Al-Rimawi;John A. Manthey;Nabil Killiny
(2020)Wei Jiang;Rui Pan;Chu Wu;Le Xu
(2020)Alma Costarelli;Chantal Bianchet;Luisa Ederli;Gianandrea Salerno
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