M. Sue Kirkman
- Endocrinology, Diabetes and Metabolism top 0.05%
- Surgery top 1%
- Genetics top 1%
- Epidemiology top 2%
- Physiology top 1%
- Co-authors
- Mary T. KorytkowskiSilvio E. InzucchiRichard HellmanJohn B. BuseIrl B. HirschAnne L. PetersDavid B. SacksJay S. Skyler
- Topics
- Diabetes Management and Research (39 papers)Diabetes Treatment and Management (24 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
M. Sue Kirkman
70 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Endocrinology, Diabetes and Metabolism 7.4k
- Surgery 2.5k
- Genetics 1.5k
- Epidemiology 1.4k
- Physiology 1.4k
Countries citing papers authored by M. Sue Kirkman
This map shows the geographic impact of M. Sue Kirkman'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 M. Sue Kirkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sue Kirkman more than expected).
Fields of papers citing papers by M. Sue Kirkman
This network shows the impact of papers produced by M. Sue Kirkman. 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 M. Sue Kirkman. The network helps show where M. Sue Kirkman may publish in the future.
Co-authorship network of co-authors of M. Sue Kirkman
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sue Kirkman. A scholar is included among the top collaborators of M. Sue Kirkman 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 M. Sue Kirkman. M. Sue Kirkman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitusbreakdown → | 116 |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 80 | |
| 6 | 2 | |
| 7 | 56 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 75 | |
| 12 | 181 | |
| 13 | 73 | |
| 14 | 192 | |
| 15 | 8 | |
| 16 | American Association of Clinical Endocrinologists and American Diabetes Association Consensus Statement on Inpatient Glycemic Controlbreakdown → | 963 |
| 17 | 364 | |
| 18 | Intensive Glycemic Control and the Prevention of Cardiovascular Events: Implications of the ACCORD, ADVANCE, and VA Diabetes Trialsbreakdown → | 637 |
| 19 | 74 | |
| 20 | 149 |
About M. Sue Kirkman
M. Sue Kirkman is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Family Practice, having authored 70 papers that have together received 11.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (39 papers), Diabetes Treatment and Management (24 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.4k citations), Family Practice (339 citations) and Geriatrics and Gerontology (351 citations). M. Sue Kirkman has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Mary T. Korytkowski, Silvio E. Inzucchi, Richard Hellman, John B. Buse, Irl B. Hirsch, Anne L. Peters, David B. Sacks, Jay S. Skyler, Guillermo E. Umpierrez and Faramarz Ismail‐Beigi. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.
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.