Stephen C. Bain
- Endocrinology, Diabetes and Metabolism top 0.05%
- Surgery top 0.5%
- Molecular Biology top 2%
- Genetics top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Co-authors
- Anthony BarnettJohn A. ToddIldiko LingvayTina VilsbøllJeffrey W. StephensStephen GoughMansoor HusainManish Khanolkar
- Topics
- Diabetes Treatment and Management (152 papers)Diabetes Management and Research (103 papers)Metabolism, Diabetes, and Cancer (85 papers)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Stephen C. Bain
242 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Endocrinology, Diabetes and Metabolism 7.3k
- Surgery 3.6k
- Molecular Biology 3.5k
- Genetics 2.9k
- Cardiology and Cardiovascular Medicine 1.3k
Countries citing papers authored by Stephen C. Bain
This map shows the geographic impact of Stephen C. Bain'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 Stephen C. Bain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. Bain more than expected).
Fields of papers citing papers by Stephen C. Bain
This network shows the impact of papers produced by Stephen C. Bain. 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 Stephen C. Bain. The network helps show where Stephen C. Bain may publish in the future.
Co-authorship network of co-authors of Stephen C. Bain
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Bain. A scholar is included among the top collaborators of Stephen C. Bain 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 Stephen C. Bain. Stephen C. Bain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | 37 | |
| 16 | 45 | |
| 17 | 4 | |
| 18 | Abstract 14806: The Glucagon-Like Peptide-1 Receptor Agonists Liraglutide and Semaglutide Improve Cardiovascular and Renal Outcomes Across Most Body Mass Index Categories in Type 2 Diabetes: Results of the LEADER and SUSTAIN 6 Trials | 3 |
| 19 | 174 | |
| 20 | 26 |
About Stephen C. Bain
Stephen C. Bain is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Genetics, having authored 251 papers that have together received 11.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (152 papers), Diabetes Management and Research (103 papers) and Metabolism, Diabetes, and Cancer (85 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.3k citations), Genetics (2.9k citations) and Nephrology (688 citations). Stephen C. Bain has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Anthony Barnett, John A. Todd, Ildiko Lingvay, Tina Vilsbøll, Jeffrey W. Stephens, Stephen Gough, Mansoor Husain, Manish Khanolkar, Ofri Mosenzon and Thinzar Min. Their work appears in journals such as Nature, New England Journal of Medicine 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.