Nihal Tümer

107 papers receiving 3.3k citations

Peers

Nihal Tümer
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 1.2k
  • Aging 92
  • Geriatrics and Gerontology 99
  • Physiology 494
  • Behavioral Neuroscience 50
Replace Philip J. Scarpace with:
Philip J. Scarpace United States
Susan M. Aja United States
Tetsuya Shiuchi Japan
Hironobu Yoshimatsu Japan
José Rodrigo Pauli Brazil
Kumpei Tokuyama Japan
Jörgen Isgaard Sweden
Jesús A.F. Tresguerres Spain
Brent E. Wisse United States
Claudia Regina Vianna United States
Nihal Tümer relative to Philip J. Scarpace United States Philip J. Scarpace's profile →
Citations per field
00.5×1.5×
Philip J. Scarpace · 1×
Citations per year

Countries citing papers authored by Nihal Tümer

Since Specialization
Citations

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

Fields of papers citing papers by Nihal Tümer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997346
2 2002150
3 2000140
4 2001140
5 2001136
6 199292
7 200989
8 201689
9 201084
10 200581
11 199580
12 201172
13 199871
14 200771
15 200165
16 200664
17 199163
18 200263
19 200259
20 201059

About Nihal Tümer

Nihal Tümer is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Aging, Physiology and Cellular and Molecular Neuroscience, having authored 108 papers that have together received 3.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (38 papers), Receptor Mechanisms and Signaling (10 papers), Renin-Angiotensin System Studies (9 papers), Adipose Tissue and Metabolism (8 papers), Cardiovascular and exercise physiology (7 papers), Nitric Oxide and Endothelin Effects (7 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Aging (92 citations), Geriatrics and Gerontology (99 citations), Physiology (494 citations) and Behavioral Neuroscience (50 citations). Nihal Tümer has collaborated with scholars based in United States, Türkiye and Cyprus. Frequent co-authors include Philip J. Scarpace, Michael Edwin Matheny, Phillip J. Scarpace, Brad H. Pollock, Scott K. Powers, Sergei Zolotukhin, Hale Zerrin Toklu, Benedek Erdös, Alexandra M. Shapiro and Karyn L. Hamilton. Their work appears in journals such as Experimental Gerontology, Neuropharmacology, Journal of Applied Physiology, The FASEB Journal and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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