P. H. Bennett
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Physiology top 5%
- Genetics top 5%
- Epidemiology top 5%
- Co-authors
- Giuseppina ImperatoreRobert L. HansonWilliam C. KnowlerMax MillerJanine RoumainDana DabeleaRobert G. NelsonC. Bogardus
- Topics
- Diabetes and associated disorders (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Chronic Kidney Disease and Diabetes (5 papers)
- Journals
- The LancetDiabetes CareDiabetes
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
P. H. Bennett
38 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 1.3k
- Molecular Biology 542
- Physiology 491
- Genetics 483
- Epidemiology 480
Countries citing papers authored by P. H. Bennett
This map shows the geographic impact of P. H. Bennett'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 P. H. Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. H. Bennett more than expected).
Fields of papers citing papers by P. H. Bennett
This network shows the impact of papers produced by P. H. Bennett. 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 P. H. Bennett. The network helps show where P. H. Bennett may publish in the future.
Co-authorship network of co-authors of P. H. Bennett
This figure shows the co-authorship network connecting the top 25 collaborators of P. H. Bennett. A scholar is included among the top collaborators of P. H. Bennett 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 P. H. Bennett. P. H. Bennett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 92 | |
| 3 | 395 | |
| 4 | 33 | |
| 5 | 109 | |
| 6 | 250 | |
| 7 | Course of renal disease in Pima Indians with non-insulin-dependent diabetes mellitus. | 15 |
| 8 | 120 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 74 | |
| 13 | 221 | |
| 14 | Low prevalence of rheumatoid arthritis in Chinese. Prevalence survey in a rural community. | 33 |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 270 | |
| 20 | 14 |
About P. H. Bennett
P. H. Bennett is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Genetics, having authored 38 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Nephrology (251 citations) and Obstetrics and Gynecology (250 citations). P. H. Bennett has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Giuseppina Imperatore, Robert L. Hanson, William C. Knowler, Max Miller, Janine Roumain, Dana Dabelea, Robert G. Nelson, C. Bogardus, David J. Pettitt and W C Knowler. Their work appears in journals such as The Lancet, Diabetes Care and Diabetes.
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.