Neil Grey

951 citations
15 papers · 716 indexed · h-index 11

Neil Grey

15 papers receiving 638 citations

Peers

Neil Grey
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 394
  • Physiology 202
  • Epidemiology 155
  • Endocrine and Autonomic Systems 29
  • Cardiology and Cardiovascular Medicine 96
Replace L. Bordier with:
L. Bordier France
Michael Koffler Israel
Deepak Khandelwal India
Christian Meyer United States
Debmalya Sanyal India
Stuart A. Ritchie United Kingdom
Akiko Nogi Japan
Jong Han Choi South Korea
Richard A. Dickey United States
Andrea E. Scaramuzza Italy
Neil Grey relative to L. Bordier France L. Bordier's profile →
Citations per field
00.5×1.5×1.8×
L. Bordier · 1×
Citations per year

Countries citing papers authored by Neil Grey

Since Specialization
Citations

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

Fields of papers citing papers by Neil Grey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Grey. 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 Neil Grey. The network helps show where Neil Grey may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20226
2 200610
3 200674
4 200539
5 200457
6 2004180
7 20042
8 200212
9
Improving care of diabetic patients through a collaborative care model.
200211
10 200015
11 199210
12 197542
13 1971130
14 197023
15 1970105

About Neil Grey

Neil Grey is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Epidemiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 716 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), Diabetes Management and Research (4 papers), Chronic Disease Management Strategies (3 papers), Diet and metabolism studies (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (394 citations), Physiology (202 citations), Epidemiology (155 citations), Endocrine and Autonomic Systems (29 citations) and Cardiology and Cardiovascular Medicine (96 citations). Neil Grey has collaborated with scholars based in United States and Greece. Frequent co-authors include David Kipnis, George A. Perdrizet, Steven R. Goldring, Rose Maljanian, Ilene Staff, Irene E. Karl, Deborah Chyun, Janice A. Davey, Deborah Katten and Frans J.Th. Wackers. Their work appears in journals such as Endocrine Practice, Biological Research For Nursing, Endocrinology, Disease Management & Health Outcomes 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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