Gürol Tuncman

10.2k citations
16 papers · 8.1k indexed · 3 hit papers · h-index 15
Topics
Adipokines, Inflammation, and Metabolic Diseases (6 papers)Adipose Tissue and Metabolism (5 papers)Peroxisome Proliferator-Activated Receptors (4 papers)

In The Last Decade

Gürol Tuncman

16 papers receiving 8.0k citations

Hit Papers

Endoplasmic Reticulum Stress Links Obesity, Insulin Actio...200220262010201820042002200710002.0k3.0k

Peers

Gürol Tuncman
Comparison fields: 5 of 128
  • Molecular Biology 3.5k
  • Epidemiology 3.4k
  • Physiology 2.8k
  • Cell Biology 2.2k
  • Surgery 1.5k
Replace Umut Özcan with:
Umut Özcan United States
Jennifer Rieusset France
Ryutaro Komuro Japan
Ángela M. Valverde Spain
Jean‐François Tanti France
Cem Z. Görgün United States
Miriam Cnop Belgium
Michael J. Jurczak United States
Catherine Postic France
Steven M. Watkins United States
Gürol Tuncman relative to Umut Özcan United States Umut Özcan's profile →
Citations per field
00.5×1.5×
Umut Özcan · 1×
Citations per year

Countries citing papers authored by Gürol Tuncman

Since Specialization
Citations

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

Fields of papers citing papers by Gürol Tuncman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gürol Tuncman

This figure shows the co-authorship network connecting the top 25 collaborators of Gürol Tuncman. A scholar is included among the top collaborators of Gürol Tuncman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gürol Tuncman. Gürol Tuncman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 14
2 75
3 1
4 209
5 73
6 214
7 396
8 273
9
Treatment of diabetes and atherosclerosis by inhibiting fatty-acid-binding protein aP2breakdown →
599
10 274
11 231
12
Endoplasmic Reticulum Stress Links Obesity, Insulin Action, and Type 2 Diabetesbreakdown →
3035
13 37
14
A central role for JNK in obesity and insulin resistancebreakdown →
2627
15 23
16 16

About Gürol Tuncman

Gürol Tuncman is a scholar working on Physiology, Epidemiology and Cancer Research, having authored 16 papers that have together received 8.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Cell Biology (2.2k citations), Physiology (2.8k citations) and Epidemiology (3.4k citations). Gürol Tuncman has collaborated with scholars based in United States, Israel and Türkiye. Frequent co-authors include Gökhan S. Hotamışlıgil, Cem Z. Görgün, Jiro Hirosumi, Lufen Chang, Michael Karin, Kazuhisa Maeda, K. Teoman Uysal, Laurie H. Glimcher, Neal N. Iwakoshi and Ann–Hwee Lee. Their work appears in journals such as Nature, Science and Cell.

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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