Chen Gilor

84 papers receiving 942 citations

Peers

Chen Gilor
Comparison fields: 5 of 93
  • Small Animals 222
  • Equine 32
  • Endocrinology, Diabetes and Metabolism 276
  • Genetics 264
  • Endocrine and Autonomic Systems 48
Replace Federico Fracassi with:
Federico Fracassi Italy
Denise A. Elliott United States
Toshinori Sako Japan
Rainer Kleemann Germany
Márcia Mery Kogika Brazil
Xiaoyan Chang China
Olivier Dossin France
Marie E. Kerl United States
Stanley I. Rubin United States
Larry M. Cornelius United States
Chen Gilor relative to Federico Fracassi Italy Federico Fracassi's profile →
Citations per field
00.5×1.7×
Federico Fracassi · 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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016102
2 202242
3 201739
4 201938
5 201131
6 201731
7 201730
8 201130
9 201128
10 201028
11 201926
12 201725
13 201125
14 201424
15 202123
16 201023
17 201422
18 201520
19 200619
20
The Diabetic Dog as a Translational Model for Human Islet Transplantation.
201719

About Chen Gilor

Chen Gilor is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Small Animals and Molecular Biology, having authored 86 papers that have together received 986 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Diabetes and associated disorders (26 papers), Diabetes Management and Research (16 papers), Diabetes Treatment and Management (15 papers), Veterinary Medicine and Surgery (11 papers), Regulation of Appetite and Obesity (6 papers), Gut microbiota and health (4 papers) and Human-Animal Interaction Studies (3 papers). The work is most often cited by research in Small Animals (222 citations), Equine (32 citations), Endocrinology, Diabetes and Metabolism (276 citations), Genetics (264 citations) and Endocrine and Autonomic Systems (48 citations). Chen Gilor has collaborated with scholars based in United States, Australia and Brazil. 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 Journal of Small Animal Practice.

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