| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Plant Science and Agronomy | 157 | 30 | 33 | 14 |
The journal investigates areas of study like Gene, Genetics, Oryza sativa, Botany and Quantitative trait locus. Gene research discussed connects with the study of Cell biology. Candidate gene, Allele, Genome, Locus (genetics) and Single-nucleotide polymorphism are some of the study areas of Genetics discussed.
It addresses concerns in Oryza sativa which are intertwined with other disciplines, such as Japonica and Germplasm, Agronomy. The journal focuses on Agronomy but the discussions also offer insight into other areas such as Plant ecology and Agriculture. Rice investigates Agriculture research which frequently intersects with Biotechnology.
Many of the studies tackled connect Quantitative trait locus with a similar field of study like Panicle. Mutant research presented is mostly focused on the subject of Wild type. It explores studies in Cultivar as part of the wider topic of Horticulture.
The most cited articles focus largely on the fields of Botany, Agronomy, Oryza sativa, Genetics and Gene. The most cited articles focus on Agronomy but the discussions also offer insight into other areas such as Plant ecology, Agriculture and Biofortification. The journal papers dive deep in exploring the relationship between the study of Gene and Biotechnology.
The primary areas of discussion in the journal are Gene, Genetics, Oryza sativa, Cell biology and Quantitative trait locus. Research in Gene tackled falls within the umbrella of Biochemistry. The journal focuses on different Genetics studies like Candidate gene, Genome, Xanthomonas oryzae, Genotype and Single-nucleotide polymorphism.
The research on Oryza sativa featured in it combines topics in other fields like Adaptation, Haplotype and Locus (genetics). Topics in Cell biology were tackled in line with various other fields like RNA, Transcription factor and Abiotic stress. Issues in Quantitative trait locus were discussed, taking into consideration concepts from other disciplines like Genome-wide association study, Panicle, Chromosome, Allele and Japonica.
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 Rice (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 Rice (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, 10.61% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.36% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.80% of all publications and 38.98% 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.
Guangyan Li;Guangyan Li;Caixia Zhang;Guangheng Zhang;Weimeng Fu
(2020)Yan Wang;Yan Wang;Yuyang Lu;Ziyu Guo;Yanfeng Ding
(2020)David M. Goad;Yulin Jia;Andrew Gibbons;Yan Liu
(2020)Haoxuan Li;Haoxuan Li;Aixuan Li;Wei Shen;Nenghui Ye
(2021)Jolly Chatterjee;Vivek Thakur;Vivek Thakur;Robert Nepomuceno;Robert Nepomuceno;Robert A. Coe;Robert A. Coe
(2020)Jianglin Zhang;Zhifeng Lu;Tao Ren;Rihuan Cong
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