T. Kunt

2.2k citations
39 papers · 1.5k · h-index 21

Impact in

Papers in

T. Kunt

39 papers receiving 1.4k citations

Peers

T. Kunt
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 698
  • Endocrine and Autonomic Systems 134
  • Physiology 346
  • Clinical Biochemistry 90
  • Genetics 359
Replace Junji Kawashima with:
Junji Kawashima Japan
David Vicent Spain
D. M. Mott United States
Edward J. Bastyr United States
Yuji Tajiri Japan
Dawn K. Coletta United States
Rasmus Rabøl Denmark
Camille Attané France
P.M. Blix United States
Katrine Almind United States
T. Kunt relative to Junji Kawashima Japan Junji Kawashima's profile →
Citations per field
00.5×3.0×
Junji Kawashima · 1×
Citations per year

Countries citing papers authored by T. Kunt

Since Specialization
Citations

This map shows the geographic impact of T. Kunt'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 T. Kunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kunt more than expected).

Fields of papers citing papers by T. Kunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of human resistin assays with serum from patients with type 2 diabetes and different degrees of insulin resistance.
2003144
2 2009131
3 2004124
4 1998101
5 2003100
6 200087
7 199979
8 199970
9 200969
10 200056
11 198048
12 200347
13 200047
14 200237
15 200034
16 199832
17
Intact and total proinsulin: new aspects for diagnosis and treatment of type 2 diabetes mellitus and insulin resistance.
200430
18 200827
19 200923
20 200822

About T. Kunt

T. Kunt is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Physiology and Molecular Biology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (15 papers), Pancreatic function and diabetes (10 papers), Diabetes Management and Research (10 papers), Diet, Metabolism, and Disease (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Treatment and Management (4 papers), Thermoregulation and physiological responses (3 papers) and Advanced Glycation End Products research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (698 citations), Endocrine and Autonomic Systems (134 citations), Physiology (346 citations), Clinical Biochemistry (90 citations) and Genetics (359 citations). T. Kunt has collaborated with scholars based in Germany, United States and United Arab Emirates. Frequent co-authors include Thomas Först, Andreas Pfützner, Frank J. Snoek, M. Engelbach, J. Beyer, M Löbig, T. Pohlmann, Matthias Langenfeld, K. Goitom and G Lübben. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Clinical Science, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Diabetes Science and Technology and Nitric Oxide.

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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