P. H. Bennett

3.6k citations
38 papers · 2.8k · h-index 23

Impact in

Papers in

P. H. Bennett

38 papers receiving 2.7k citations

Peers

P. H. Bennett
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 902
  • Nephrology 233
  • Endocrine and Autonomic Systems 165
  • Obstetrics and Gynecology 170
  • Pediatrics, Perinatology and Child Health 279
Replace I Kinalska with:
I Kinalska Poland
Patricia P. Moll United States
W C Knowler United States
J. M. Malins United Kingdom
James D. Walker United Kingdom
Carlo Negri Italy
F Kokot Poland
Manuel Luque‐Ramírez Spain
Kalliopi Kotsa Greece
Lauren Nathan United States
P. H. Bennett relative to I Kinalska Poland I Kinalska's profile →
Citations per field
00.5×
I Kinalska · 1×
Citations per year

Countries citing papers authored by P. H. Bennett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside P. H. Bennett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. H. Bennett Line = papers co-authored together P. H. Bennett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000448
2 2000395
3 1971270
4 1998250
5 1989221
6 1999203
7 1997120
8 1998111
9 2000110
10 200193
11 199374
12
Prognostic markers for diet-induced weight loss in obese women.
199540
13 196639
14
The magnitude and origin of European-American admixture in the Gila River Indian Community of Arizona: a union of genetics and demography.
199237
15 196536
16
Diabetes in the elderly: diagnosis and epidemiology.
198436
17 199934
18 196933
19
Low prevalence of rheumatoid arthritis in Chinese. Prevalence survey in a rural community.
198333
20 197531

About P. H. Bennett

P. H. Bennett is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Surgery and Nephrology, having authored 38 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Chronic Kidney Disease and Diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (5 papers), Diet, Metabolism, and Disease (4 papers), Birth, Development, and Health (3 papers) and Gestational Diabetes Research and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (902 citations), Nephrology (233 citations), Endocrine and Autonomic Systems (165 citations), Obstetrics and Gynecology (170 citations) and Pediatrics, Perinatology and Child Health (279 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 Diabetologia, Diabetes, The Lancet, Diabetes Care and Annals of the Rheumatic Diseases.

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.

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