ArticleJournal of thoracic disease2026
Knowledge structure and academic influence in lung transplantation: a systematically bibliometric analysis of highly cited documents and multi-perspective extensive review.
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: End-stage respiratory diseases has become a major global health challenge, and lung transplantation (LTX) has emerged as the only currently viable therapeutic option and gained momentum in the last four decades. This study aimed to scientifically visualize the knowledge structure of the LTX research field based on highly cited documents through bibliometric analysis, while integrating current research hotspots to provide valuable insights. Methods: Research searches and data collection were obtained from Web of Science Core Collection. Calculations and visualizations were performed through Microsoft Excel, VOSviewer, CiteSpace, and Bibliometrix R-package. Results: From 1980 to November 1, 2024, we identified the top 500 highly cited documents in the field of LTX. Our findings showed that USA, University of Toronto, Keshavjee S, and Conclusions: Our study provided detailed lists of the most highly cited documents in the field of LTX, and comprehensively and visually summarized the knowledge structure of LTX field and gave valuable insights. It aims to inspire subsequent research from macro perspectives and inform the rational allocation of resources and identification of sources of collaboration.
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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.