JS Yudkin
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Surgery
- Physiology
- Co-authors
- Caroline JacksonRosaire GrayDiana L. PattersonRichard D ForrestVidya Mohamed‐AliEtto C. EringaD. J. BetteridgeEliete Bouskela
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Diabetes Treatment and Management (5 papers)Diabetes Management and Research (4 papers)
- Journals
- The LancetBMJDiabetologia
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
JS Yudkin
26 papers receiving 468 citations
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 237
- Cardiology and Cardiovascular Medicine 151
- Epidemiology 113
- Surgery 95
- Physiology 88
Countries citing papers authored by JS Yudkin
This map shows the geographic impact of JS Yudkin'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 JS Yudkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JS Yudkin more than expected).
Fields of papers citing papers by JS Yudkin
This network shows the impact of papers produced by JS Yudkin. 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 JS Yudkin. The network helps show where JS Yudkin may publish in the future.
Co-authorship network of co-authors of JS Yudkin
This figure shows the co-authorship network connecting the top 25 collaborators of JS Yudkin. A scholar is included among the top collaborators of JS Yudkin 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 JS Yudkin. JS Yudkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 73 | |
| 5 | 7 | |
| 6 | 28 | |
| 7 | 34 | |
| 8 | Prevention and management of cardiovascular disease in patients with diabetes mellitus: an evidence base. | 30 |
| 9 | 5 | |
| 10 | 55 | |
| 11 | 42 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | A within patient cross over trial of 4 insulin regimens in antibody-negative, C-peptide negative patients. | 9 |
| 20 | 7 |
About JS Yudkin
JS Yudkin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Transplantation, having authored 26 papers that have together received 493 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Treatment and Management (5 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (237 citations), Cardiology and Cardiovascular Medicine (151 citations) and Physiology (88 citations). JS Yudkin has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Caroline Jackson, Rosaire Gray, Diana L. Patterson, Richard D Forrest, Vidya Mohamed‐Ali, Etto C. Eringa, D. J. Betteridge, Eliete Bouskela, Victor W.M. van Hinsbergh and Arshia Panahloo. Their work appears in journals such as The Lancet, BMJ and Diabetologia.
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.