Nihal Tümer

4.0k citations
109 papers · 3.4k · h-index 31

Impact in

Papers in

Nihal Tümer

108 papers receiving 3.3k citations

Peers

Nihal Tümer
Comparison fields: 5 of 120
  • Endocrine and Autonomic Systems 1.4k
  • Physiology 1.4k
  • Nutrition and Dietetics 722
  • Behavioral Neuroscience 126
  • Aging 50
Replace Philip J. Scarpace with:
Philip J. Scarpace United States
Karen E. Foster‐Schubert United States
Dennys E. Cintra Brazil
Cláudio Teodoro de Souza Brazil
Tetsuya Kakuma Japan
José Rodrigo Pauli Brazil
Silvana Bordin Brazil
Takashi Shimazu Japan
Christoffer Clemmensen Denmark
Julie Y.H. Chan Taiwan
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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997352
2 2002151
3 2000140
4 2001138
5 2001136
6 199292
7 201686
8 200984
9 201083
10 200580
11 199578
12 201173
13 199869
14 200769
15 200665
16 199164
17 200164
18 200260
19 200260
20 201058

About Nihal Tümer

Nihal Tümer is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 109 papers that have together received 3.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (42 papers), Adipose Tissue and Metabolism (33 papers), Adipokines, Inflammation, and Metabolic Diseases (23 papers), Biochemical Analysis and Sensing Techniques (19 papers), Stress Responses and Cortisol (12 papers), Circadian rhythm and melatonin (11 papers), Receptor Mechanisms and Signaling (10 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Physiology (1.4k citations), Nutrition and Dietetics (722 citations), Behavioral Neuroscience (126 citations) and Aging (50 citations). Nihal Tümer has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include Philip J. Scarpace, Michael E. Matheny, P. J. Scarpace, Brad H. Pollock, Scott K. Powers, Sergei Zolotukhin, Hale Z. Toklu, David Löwenthal, Benedek Erdös and Alexandra Shapiro. Their work appears in journals such as Experimental Gerontology, Journal of Applied Physiology, Neuropharmacology, Journal of Hypertension and The FASEB Journal.

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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