Tomris Erbaş

4.0k citations
106 papers · 2.7k · h-index 25

Impact in

Papers in

Tomris Erbaş

100 papers receiving 2.5k citations

Peers

Tomris Erbaş
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 908
  • Cardiology and Cardiovascular Medicine 712
  • Physiology 462
  • Gastroenterology 90
  • Endocrine and Autonomic Systems 96
Replace Gary L. Pittenger with:
Gary L. Pittenger United States
Bert Bravenboer Netherlands
Johannes Järhult Sweden
Giuseppe Romanelli Italy
Carl‐David Agardh Sweden
Tobias Lohmann Germany
Tomoaki Morioka Japan
Toshihiko Inukai Japan
A. Gordon Smith United States
Jochen Steppan United States
Tomris Erbaş relative to Gary L. Pittenger United States Gary L. Pittenger's profile →
Citations per field
00.5×3.5×
Gary L. Pittenger · 1×
Citations per year

Countries citing papers authored by Tomris Erbaş

Since Specialization
Citations

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

Fields of papers citing papers by Tomris Erbaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001499
2 2013266
3 2003175
4 2001130
5 2001108
6 201395
7 199394
8 200565
9 199662
10 201162
11 200158
12 199557
13 200155
14 201355
15 201355
16 200640
17 202233
18 200633
19 199931
20 199429

About Tomris Erbaş

Tomris Erbaş is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Molecular Biology, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (28 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Heart Rate Variability and Autonomic Control (8 papers), Pain Mechanisms and Treatments (7 papers), Diet and metabolism studies (6 papers), Cardiovascular Syncope and Autonomic Disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (908 citations), Cardiology and Cardiovascular Medicine (712 citations), Physiology (462 citations), Gastroenterology (90 citations) and Endocrine and Autonomic Systems (96 citations). Tomris Erbaş has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Aaron I. Vinik, Gary L. Pittenger, Tae Sun Park, Roger D. Nolan, Selçuk Dağdelen, Carolina Casellini, A Vinik, Roy Freeman, Sema Akalın and Belkıs Erbaş. Their work appears in journals such as Pituitary, Experimental and Clinical Endocrinology & Diabetes, The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Cardiology.

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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