2468-0540
Published by: KeAi Publishing
http://www.keaipublishing.com/en/journals/non-coding-rna-research/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Genetics | 140 | 4 | 7 | 5 |
The main research concerns discussed in the journal are microRNA, Computational biology, RNA, Gene and Non-coding RNA. MicroRNA research featured in it incorporates concerns from various other topics such as Cell, Cancer research, Human genome, Bioinformatics and Epigenetics. It explores issues in Cancer research which can be linked to other research areas like Cancer, Metastasis, Potential biomarkers, SMAD and Western blot.
Issues in Metastasis were discussed, taking into consideration concepts from other disciplines like HOTAIR and Biomarker (cell). Some problems in Computational biology that were presented in the journal overlapped with concepts under Regulation of gene expression, Genome, Disease and Function (biology). Topics in Disease explored in Non-coding RNA Research were investigated in conjunction with research in Biomarker (medicine) and Pathogenesis.
While Non-coding RNA Research focused on RNA, it was also able to explore topics like Transcriptome, Gene expression, DNA and Cell biology. The Gene research presented falls under the domain of Genetics. In the journal, Biogenesis, Circular RNA and Neuroscience are investigated in conjunction with one another to address concerns in Non-coding RNA research.
The most cited publications focus on Computational biology, RNA, Human genome, microRNA and Gene. While work presented in the published articles provide substantial information on RNA, it also covers topics in Transcription (biology), Biogenesis and Gene expression. The published articles explore issues in microRNA which can be linked to other research areas like Cancer, Radiation therapy and Bioinformatics.
MicroRNA, Cancer research, RNA, Computational biology and Cancer are among the topics commonly tackled in the journal. MicroRNA research discussed in the journal aim to provide more information in the subject of Gene. While work presented in Non-coding RNA Research provided substantial information on Cancer research, it also covered topics in Cell, Wnt signaling pathway, Disease and Reverse transcription polymerase chain reaction.
Non-coding RNA Research focuses on RNA but the discussions also offer insight into other areas such as Invasive growth, Gene expression and Cell biology. The presented Computational biology research focuses mostly on Function (biology) and, on occasion, topics in RNA-binding protein, Circular RNA and Biophysics. The Cancer works featured in Non-coding RNA Research incorporate elements from Biomarker (medicine), Signal transduction, Oncology and stat.
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 Research (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 Research (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, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.10% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.05% of all publications and 38.10% 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.
