I. P. Gray

1.8k citations
31 papers · 1.2k indexed · h-index 19

I. P. Gray

31 papers receiving 1.2k citations

Peers

I. P. Gray
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 573
  • Obstetrics and Gynecology 160
  • Pediatrics, Perinatology and Child Health 349
  • Physiology 254
  • Genetics 247
Replace S.A. Birk with:
S.A. Birk United States
Kathleen M. Berkowitz United States
Giancarlo Paradisi Italy
M Nitzan Israel
Luís Felipe Pallardo Spain
Sarah J. Glastras Australia
Gustavo Maccallini Argentina
R. Niththyananthan United Kingdom
J. W. H. Doar United Kingdom
Robert H. Fiser United States
I. P. Gray relative to S.A. Birk United States S.A. Birk's profile →
Citations per field
00.5×8.5×
S.A. Birk · 1×
Citations per year

Countries citing papers authored by I. P. Gray

Since Specialization
Citations

This map shows the geographic impact of I. P. 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. P. 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. P. Gray more than expected).

Fields of papers citing papers by I. P. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside I. P. 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. P. Gray Line = papers co-authored together I. P. Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201216
2 200122
3 200026
4 200046
5 199930
6 1998190
7 199722
8 199513
9 199412
10 19942
11 199417
12 199421
13 199475
14 199422
15 19943
16 199381
17 199349
18 19894
19 1989297
20 198870

About I. P. Gray

I. P. Gray is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery and Genetics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Birth, Development, and Health (8 papers), Diabetes and associated disorders (8 papers), Diabetes Management and Research (6 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (573 citations), Obstetrics and Gynecology (160 citations), Pediatrics, Perinatology and Child Health (349 citations), Physiology (254 citations) and Genetics (247 citations). I. P. Gray has collaborated with scholars based in United Kingdom, South Africa and Sweden. Frequent co-authors include Nigel J. Crowther, Noël Cameron, Melanie J. Davies, Joseph Day, C. N. Hales, Kenneth Siddle, G. Rayman, C. N. Hales, B H Frank and C. N. Hales. Their work appears in journals such as Diabetic Medicine, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Diabetes and Diabetologia.

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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