Emil Egecioglu

71 papers receiving 4.8k citations

Peers

Emil Egecioglu
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 3.1k
  • Nutrition and Dietetics 2.2k
  • Physiology 2.0k
  • Cellular and Molecular Neuroscience 788
  • Endocrinology, Diabetes and Metabolism 709
Replace Karolina P. Skibicka with:
Karolina P. Skibicka Sweden
Dianne P. Figlewicz United States
Mario Perelló Argentina
Koji Toshinai Japan
Ichiro Sakata Japan
C. L. Dakin United Kingdom
Caroline J. Small United Kingdom
Ambrose A. Dunn-Meynell United States
Pablo J. Enriori United States
Stephen C. Benoit United States
Emil Egecioglu relative to Karolina P. Skibicka Sweden Karolina P. Skibicka's profile →
Citations per field
00.5×1.5×
Karolina P. Skibicka · 1×
Citations per year

Countries citing papers authored by Emil Egecioglu

Since Specialization
Citations

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

Fields of papers citing papers by Emil Egecioglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006350
2 2009349
3 2006292
4 2010275
5 2011207
6 2011185
7 2010177
8 2005150
9 2012150
10 2011136
11 2012135
12 2013125
13 2007115
14 2013111
15 201099
16 201594
17 201190
18 201088
19 200583
20 201082

About Emil Egecioglu

Emil Egecioglu is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Physiology, Reproductive Medicine and Behavioral Neuroscience, having authored 71 papers that have together received 4.8k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (46 papers), Biochemical Analysis and Sensing Techniques (31 papers), Adipose Tissue and Metabolism (25 papers), Reproductive System and Pregnancy (9 papers), Diet and metabolism studies (8 papers), Estrogen and related hormone effects (7 papers), Neuropeptides and Animal Physiology (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.1k citations), Nutrition and Dietetics (2.2k citations), Physiology (2.0k citations), Cellular and Molecular Neuroscience (788 citations) and Endocrinology, Diabetes and Metabolism (709 citations). Emil Egecioglu has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Suzanne L. Dickson, Elisabet Jerlhag, Jörgen A. Engel, Karolina P. Skibicka, Lennart Svensson, Caroline Hansson, Sara Landgren, Mohammad Bohlooly‐Y, Daniel Perrissoud and Nicolas Salomé. Their work appears in journals such as Addiction Biology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Neuroendocrinology, PLoS ONE and Biology of Reproduction.

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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