Emil Egecioglu

72 papers receiving 5.1k citations

Peers

Emil Egecioglu
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 2.8k
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrinology, Diabetes and Metabolism 372
  • Behavioral Neuroscience 48
  • Reproductive Medicine 174
Replace Qingchun Tong with:
Qingchun Tong United States
Karolina Patrycja Skibicka Sweden
Stephen C. Benoit United States
Dianne P. Figlewicz United States
Ichiro Sakata Japan
Mario Perelló Argentina
Ambrose A. Dunn-Meynell United States
Kevin W. Williams United States
Wei Fan United States
Alison Wren United Kingdom
Emil Egecioglu relative to Qingchun Tong United States Qingchun Tong's profile →
Citations per field
00.5×1.5×2.1×
Qingchun Tong · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009366
2 2006364
3 2006306
4 2010287
5 2011214
6 2011196
7 2010186
8 2012172
9 2005156
10 2011149
11 2013149
12 2012141
13 2013127
14 2015120
15 2007118
16 2010107
17 201193
18 201091
19 200590
20 200588

About Emil Egecioglu

Emil Egecioglu is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Genetics, Reproductive Medicine and Pharmacology, having authored 72 papers that have together received 5.1k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (38 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Estrogen and related hormone effects (13 papers), Pharmacology and Obesity Treatment (3 papers), Ectopic Pregnancy Diagnosis and Management (3 papers), Reproductive Biology and Fertility (2 papers), Ovarian function and disorders (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.8k citations), Cellular and Molecular Neuroscience (1.3k citations), Endocrinology, Diabetes and Metabolism (372 citations), Behavioral Neuroscience (48 citations) and Reproductive Medicine (174 citations). Emil Egecioglu has collaborated with scholars based in Sweden, China and United Kingdom. Frequent co-authors include Elisabet Jerlhag, Suzanne L. Dickson, Jörgen A. Engel, Karolina Patrycja 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 Molecular and Cellular Endocrinology.

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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