ReviewJournal of thoracic disease2020
The 100 most cited papers on thymic epithelial tumours: a bibliometric analysis.
Review in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Bibliometric analysis reveals global thymoma research trends collaborations and emerging frontiers from 2010 to 2024.Discover oncology · 2025Article
- The 100 top-cited articles in uveitis from 1950 to 2022.International ophthalmology · 2023Article
- The 100 most cited papers on thymoma: a bibliometric analysis.Journal of cardiothoracic surgery · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bibliometric analysis can help us analyse the most influential papers, authors, research institutions in a discipline or topic and analyse the impact of these papers on a specific field. Our purpose is to identify the 100 most cited papers about thymic epithelial tumours (TETs) and analyse their key characteristics. We use certain search terms in the Web of Science database to identify the 100 most cited papers, and analysed the first author, country of the first author, institution, journal, type of paper, number of citations, and citation rate. The search returned 26,497 results. The top 100 papers received 17,674 citations. The most cited paper was by Masaoka
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.