Chen Gilor

82 papers receiving 903 citations

Peers

Chen Gilor
Comparison fields: 5 of 96
  • Small Animals 236
  • Equine 52
  • Endocrinology, Diabetes and Metabolism 366
  • Genetics 327
  • Endocrine and Autonomic Systems 53
Replace Olivier Dossin with:
Olivier Dossin France
Márcia Mery Kogika Brazil
Marie E. Kerl United States
M. F. Heath United Kingdom
Michael S. Leib United States
Ioannis Petridis Italy
S.G. Moesgaard Denmark
Joseph L. Dorner United States
Barbara J. Skelly United Kingdom
Naris Thengchaisri Thailand
Chen Gilor relative to Olivier Dossin France Olivier Dossin's profile →
Citations per field
00.5×8.0×
Olivier Dossin · 1×
Citations per year

Countries citing papers authored by Chen Gilor

Since Specialization
Citations

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

Fields of papers citing papers by Chen Gilor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 201739
3 202237
4 201932
5 201131
6 201729
7 201128
8 201128
9 201728
10 201926
11 201025
12 201724
13 201424
14 201123
15 202123
16 201422
17 201021
18
The Diabetic Dog as a Translational Model for Human Islet Transplantation.
201719
19 201017
20 201517

About Chen Gilor

Chen Gilor is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Small Animals and Molecular Biology, having authored 85 papers that have together received 927 indexed citations. Recurring topics across this work include Diabetes and associated disorders (37 papers), Pancreatic function and diabetes (37 papers), Diabetes Management and Research (26 papers), Diabetes Treatment and Management (19 papers), Veterinary Medicine and Surgery (13 papers), Regulation of Appetite and Obesity (7 papers), Adrenal Hormones and Disorders (6 papers) and Veterinary Equine Medical Research (6 papers). The work is most often cited by research in Small Animals (236 citations), Equine (52 citations), Endocrinology, Diabetes and Metabolism (366 citations), Genetics (327 citations) and Endocrine and Autonomic Systems (53 citations). Chen Gilor has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Thomas K. Graves, Adam J. Rudinsky, Christopher A. Adin, Stijn Niessen, Stephen P. DiBartola, Eva Furrow, Valerie J. Parker, Krystle L. Reagan, M.J. Hall and Stanley L. Marks. Their work appears in journals such as Journal of Veterinary Internal Medicine, Domestic Animal Endocrinology, Journal of Feline Medicine and Surgery, Veterinary Clinics of North America Small Animal Practice and Scientific Reports.

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.

Explore authors with similar magnitude of impact