William C. Knowler
Impact in
- Endocrinology, Diabetes and Metabolism top 0.01%
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Diabetes Treatment and Management
- Obstetrics and Gynecology top 0.05%
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 123
- Diabetes Treatment and Management 51
- Nephrology 48
- Chronic Kidney Disease and Diabetes 46
- Co-authors
- Peter H. BennettRobert L. HansonDavid J. PettittRobert G. NelsonClifton BogardusÉric RavussinStephen LilliojaHelen C. Looker
- Journals
- Diabetes (94 papers)Diabetes Care (76 papers)Diabetologia (47 papers)Obesity (21 papers)The Journal of Clinical Endocrinology & Metabolism (17 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
William C. Knowler
510 papers receiving 42.0k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Endocrinology, Diabetes and Metabolism 14.7k
- Obstetrics and Gynecology 3.6k
- Periodontics 1.9k
- Nephrology 2.8k
- Physiology 10.2k
Countries citing papers authored by William C. Knowler
This map shows the geographic impact of William C. Knowler'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 William C. Knowler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Knowler more than expected).
Fields of papers citing papers by William C. Knowler
This network shows the impact of papers produced by William C. Knowler. 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 William C. Knowler. The network helps show where William C. Knowler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William C. Knowler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 96 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 72 | |
| 8 | 2020 | 0 | |
| 9 | 2017 | 34 | |
| 10 | 2017 | 43 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 6 | |
| 14 | 2000 | 233 | |
| 15 | 1995 | 307 | |
| 16 | 1994 | 35 | |
| 17 | 1994 | 84 | |
| 18 | 1991 | 101 | |
| 19 | 1988 | 227 | |
| 20 | Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus Hit paper breakdown → | 1988 | 473 |
About William C. Knowler
William C. Knowler is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Pharmacy, Genetics and Obstetrics and Gynecology, having authored 522 papers that have together received 43.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (123 papers), Genetic Associations and Epidemiology (68 papers), Diabetes and associated disorders (64 papers), Metabolism, Diabetes, and Cancer (62 papers), Diabetes Treatment and Management (51 papers), Birth, Development, and Health (46 papers), Obesity, Physical Activity, Diet (46 papers) and Chronic Kidney Disease and Diabetes (46 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (14.7k citations), Obstetrics and Gynecology (3.6k citations), Periodontics (1.9k citations), Nephrology (2.8k citations) and Physiology (10.2k citations). William C. Knowler has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Peter H. Bennett, Robert L. Hanson, David J. Pettitt, Robert G. Nelson, Clifton Bogardus, Éric Ravussin, Stephen Lillioja, Helen C. Looker, Mohammed Saad and David J. Pettitt. Their work appears in journals such as Diabetes, Diabetes Care, Diabetologia, Obesity and The Journal of Clinical Endocrinology & Metabolism.
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.