I. Peter Gray

1.8k citations
38 papers · 1.5k · h-index 21

Impact in

Papers in

I. Peter Gray

36 papers receiving 1.4k citations

Peers

I. Peter Gray
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 513
  • Obstetrics and Gynecology 125
  • Pediatrics, Perinatology and Child Health 306
  • Physiology 240
  • Genetics 237
Replace Camilla Bjørn Jensen with:
Camilla Bjørn Jensen Denmark
Jozef Laureys Belgium
Marcia F. Kalin United States
M Nitzan Israel
Elisabetta Torlone Italy
J. W. H. Doar United Kingdom
Derek I. Johnston United Kingdom
Robert H. Fiser United States
Sharon A. Birk United States
Demetrios Rizos Greece
I. Peter Gray relative to Camilla Bjørn Jensen Denmark Camilla Bjørn Jensen's profile →
Citations per field
00.5×1.5×
Camilla Bjørn Jensen · 1×
Citations per year

Countries citing papers authored by I. Peter Gray

Since Specialization
Citations

This map shows the geographic impact of I. Peter Gray'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 I. Peter Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Peter Gray more than expected).

Fields of papers citing papers by I. Peter Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Peter Gray. 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 I. Peter Gray. The network helps show where I. Peter Gray may publish in the future.

Co-authors

The 25 scholars most cited alongside I. Peter Gray, 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 I. Peter Gray Line = papers co-authored together I. Peter Gray 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 1989308
2 1998206
3 199384
4 199476
5 198873
6 199970
7 195759
8 199353
9 200448
10 200047
11 200241
12 200838
13 199930
14 200027
15 200824
16 198423
17 199723
18 200122
19 199422
20 199521

About I. Peter Gray

I. Peter Gray is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Pediatrics, Perinatology and Child Health, Surgery and Obstetrics and Gynecology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (8 papers), Birth, Development, and Health (6 papers), Diabetes Management and Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipose Tissue and Metabolism (4 papers) and Gestational Diabetes Research and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (513 citations), Obstetrics and Gynecology (125 citations), Pediatrics, Perinatology and Child Health (306 citations), Physiology (240 citations) and Genetics (237 citations). I. Peter Gray has collaborated with scholars based in United Kingdom, South Africa and Sweden. Frequent co-authors include Nigel John Crowther, Noël Cameron, Melanie J. Davies, Joseph Day, C. Nicholas Hales, Kenneth J. Siddle, B H Frank, William P. Beetham, C. N. Hales and Gerrard Rayman. Their work appears in journals such as Diabetic Medicine, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology 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.

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