Published by: MDPI
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Genetics | 91 | 21 | 23 | 10 |
| Molecular Biology | 142 | 12 | 16 | 6 |
| Biology and Biochemistry | 515 | 33 | 41 | 12 |
Non-Coding RNA investigates areas of study like microRNA, RNA, Computational biology, Gene and Non-coding RNA. Issues in microRNA were discussed, taking into consideration concepts from other disciplines like Cancer, Cancer research, Bioinformatics, Cell biology and Regulation of gene expression. Non-Coding RNA addresses concerns in Cancer research which are intertwined with other disciplines, such as Carcinogenesis, Breast cancer, Downregulation and upregulation and Metastasis.
While Non-Coding RNA focused on Cell biology, it was also able to explore topics like Translation (biology), Messenger RNA and RNA-binding protein. While RNA is the focus of Non-Coding RNA, it also provided insights into the studies of Ribosomal RNA, Transcription (biology) and Gene expression. Computational biology research presented in Non-Coding RNA encompasses a variety of subjects, including Transcriptome, Genome, Post-transcriptional regulation, Function (biology) and Epigenetics.
The featured Gene study falls within the wider topic of Genetics. The work on Non-coding RNA addressed in it expands to the thematically related Human genome. The work tackled in it goes beyond the discipline of Long non-coding RNA as it also encompasses Chromatin.
The journal papers are organized to address concerns in the fields of microRNA, RNA, Computational biology, Long non-coding RNA and Cell biology. The most cited articles facilitate discussions on microRNA that incorporate concepts from other fields like Cancer, Breast cancer and Cancer research. The works on Long non-coding RNA tackled in the journal articles bring together disciplines like Gene knockdown, Messenger RNA, RNA splicing, Regulation of gene expression and Transcription (biology).
The journal mostly deals with topics like microRNA, Computational biology, Cell biology, RNA and Gene expression. MicroRNA research featured in the journal incorporates concerns from various other topics such as Epithelial–mesenchymal transition, Cancer, Cancer research and Disease. The work on Computational biology tackled in the journal brings together disciplines like Non-coding RNA, Transcriptome, Genome, Post-transcriptional regulation and Epigenetics.
The research on Cell biology tackled can also make contributions to studies in the areas of Translation (biology), RNA silencing and Cell growth. The discussions emphasized the topic of RNA in an attempt to further explore the field of Gene. The study of Gene expression encompasses disciplines such as RNA-binding protein, as well as fields such as MRNA stabilization, Drosha, Ribonuclease III and Argonaute, all of which overlap with one another.
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 Non-Coding RNA (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 Non-Coding RNA (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, 9.84% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.27% of all publications and 50.91% 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.
Gayatri Arun;Disha Aggarwal;Disha Aggarwal;David L. Spector;David L. Spector
(2020)Mihnea Paul Dragomir;Mihnea Paul Dragomir;Ganiraju C Manyam;Leonie Florence Ott;Leonie Florence Ott;Léa Berland
(2020)Camille Fonouni-Farde;Federico Ariel;Martin Crespi;Martin Crespi
(2021)Lucia Natarelli;Luca Parca;Tommaso Mazza;Christian Weber
(2021)Kensuke Ninomiya;Tetsuro Hirose
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