ArticleCancer biology & therapy2021
The top 100 most-cited papers in long non-coding RNAs: a bibliometric study.
Article in Cancer biology & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Top 100 Most-Cited Papers in Neuropathic Pain From 2000 to 2020: A Bibliometric Study.Frontiers in neurology · 2021Pooled it
- Bibliometric Study of Exercise and Tendinopathy Research from 2001 to 2020.Medical science monitor : international medical journal of experimental and clinical research · 2022Article
- The top 100 most-cited papers in pheochromocytomas and paragangliomas: A bibliometric study.Frontiers in oncology · 2022Article
- Global Research Status and Trends in Venous Thromboembolism After Hip or Knee Arthroplasty From 1990 to 2021: A Bibliometric Analysis.Frontiers in medicine · 2022Article
- Global research hotspots and trends of the Notch signaling pathway in the field of cancer: a bibliometric study.American journal of translational research · 2022Article
- The top 100 cited studies on bacterial persisters: A bibliometric analysis.Frontiers in pharmacology · 2022Article
- The Top 100 Cited Articles in Osteonecrosis of the Femoral Head: A Bibliometric Analysis.BioMed research international · 2021Article
- Bibliometric Analysis of Research on the Comorbidity of Pain and Inflammation.Pain research & management · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Up to 90% of the human genome is transcribed into Long-noncoding RNAs (lncRNAs) that longer than 200 nucleotides but do not code for proteins. LncRNAs play a vital role in a broad range of biological process, it's dysregulations and mutations are linked to the development and progression of various complex human diseases. Given the dramatic changes and growing scientific outputs in lncRNAs field, using a quantitative measurement to analyze and characterize the existing studies has become imperative.Bibliometric analysis is a widely used tool to assess the academic influence of a publication or a country in a specific field. However, a bibliometric analysis of the top 100 most-cited papers in lncRNAs area has not been conducted. Thus, we executed a bibliometric study to identify the authors, journals, countries and institutions that contributed most to the top 100 lncRNAs list, characterize the key words and focus of top 100 most-cited papers, and detect the factors related to their successful citation. This study provides a comprehensive list of the most influential papers on lncRNAs research and demonstrates the important advances in this field, which might be benefit to researchers in their paper publication and scientific cooperation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.