Eun Bee Cho

18 papers receiving 404 citations

Peers

Eun Bee Cho
Comparison fields: 5 of 62
  • Reproductive Medicine 89
  • Physiology 44
  • Cellular and Molecular Neuroscience 133
  • Endocrine and Autonomic Systems 28
  • Endocrinology, Diabetes and Metabolism 67
Replace Leo T. O. Lee with:
Leo T. O. Lee Hong Kong
Maura Mathieu France
Jean‐Noël Laverrière France
Yukio Kato Japan
Violaine Simon France
Mi Jin Moon South Korea
Justin A. Lopez United States
María Leiza Vitale Canada
Ryutaro Moriyama Japan
Danielle Gourdji France
Eun Bee Cho relative to Leo T. O. Lee Hong Kong Leo T. O. Lee's profile →
Citations per field
00.5×10×
Leo T. O. Lee · 1×
Citations per year

Countries citing papers authored by Eun Bee Cho

Since Specialization
Citations

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

Fields of papers citing papers by Eun Bee Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Bee Cho. 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 Eun Bee Cho. The network helps show where Eun Bee Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201083
2 201347
3 201243
4 201235
5 201533
6 201730
7 201327
8 201925
9 201118
10 202011
11 201110
12 200910
13 20129
14 20219
15 20198
16 20255
17 20243
18 20242
19 20260
20 20210

About Eun Bee Cho

Eun Bee Cho is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Neurology and Genetics, having authored 20 papers that have together received 408 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Diabetes Treatment and Management (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Hypothalamic control of reproductive hormones (3 papers), interferon and immune responses (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Reproductive Medicine (89 citations), Physiology (44 citations), Cellular and Molecular Neuroscience (133 citations), Endocrine and Autonomic Systems (28 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Eun Bee Cho has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Jae Young Seong, Jong‐Ik Hwang, Sumi Park, Mi Jin Moon, Hubert Vaudry, Dong-Kyu Kim, Dong‐Kyu Kim, Stacia A. Sower, Olivier Kah and Dong‐Kyu Kim. Their work appears in journals such as Molecules and Cells, Frontiers in Neuroscience, Molecular Biology and Evolution, Journal of Biological Chemistry and Scientific Reports.

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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