Richard J. Bartlett
- Molecular Biology top 5%
- Surgery top 2%
- Genetics top 2%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Mark ClatworthyPeter AnnearCamillo RicordiJulian A. FellerLarry H. YamaokaWu-Yen HungGeorge S. EisenbarthMarkus Zeller
- Topics
- Muscle Physiology and Disorders (16 papers)Total Knee Arthroplasty Outcomes (9 papers)Knee injuries and reconstruction techniques (7 papers)
- Journals
- NatureScienceThe Lancet
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Richard J. Bartlett
47 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.4k
- Surgery 1.4k
- Genetics 1.2k
- Physiology 548
- Endocrinology, Diabetes and Metabolism 435
Countries citing papers authored by Richard J. Bartlett
This map shows the geographic impact of Richard J. Bartlett's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard J. Bartlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Bartlett more than expected).
Fields of papers citing papers by Richard J. Bartlett
This network shows the impact of papers produced by Richard J. Bartlett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard J. Bartlett. The network helps show where Richard J. Bartlett may publish in the future.
Co-authorship network of co-authors of Richard J. Bartlett
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Bartlett. A scholar is included among the top collaborators of Richard J. Bartlett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard J. Bartlett. Richard J. Bartlett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 52 | |
| 5 | 18 | |
| 6 | 10 | |
| 7 | The insulin gene is transcribed in the human thymus and transcription levels correlate with allelic variation at the INS VNTR-IDDM2 susceptibility locus for type 1 diabetesbreakdown → | 723 |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 44 | |
| 12 | 25 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 15 |
About Richard J. Bartlett
Richard J. Bartlett is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Virology, having authored 47 papers that have together received 3.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Total Knee Arthroplasty Outcomes (9 papers) and Knee injuries and reconstruction techniques (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (377 citations), Genetics (1.2k citations) and Surgery (1.4k citations). Richard J. Bartlett has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mark Clatworthy, Peter Annear, Camillo Ricordi, Julian A. Feller, Larry H. Yamaoka, Wu-Yen Hung, George S. Eisenbarth, Markus Zeller, Dhavalkumar D. Patel and Margaret A. Pericak‐Vance. Their work appears in journals such as Nature, Science and The Lancet.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.