Eunsoo Won

49 papers receiving 1.9k citations

Peers

Eunsoo Won
Comparison fields: 5 of 114
  • Biological Psychiatry 384
  • Behavioral Neuroscience 307
  • Psychiatry and Mental health 242
  • Cognitive Neuroscience 333
  • Neurology 129
Replace Daimei Sasayama with:
Daimei Sasayama Japan
Hee‐Ju Kang South Korea
Wakako Umene‐Nakano Japan
Marina Šagud Croatia
Amir Garakani United States
Stefano Baroni Italy
Yehuda Pollak Israel
Flurin Cathomas United States
Angela Carballedo Ireland
Min-Soo Lee South Korea
Eunsoo Won relative to Daimei Sasayama Japan Daimei Sasayama's profile →
Citations per field
00.5×2.6×
Daimei Sasayama · 1×
Citations per year

Countries citing papers authored by Eunsoo Won

Since Specialization
Citations

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

Fields of papers citing papers by Eunsoo Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016237
2 2017149
3 2017138
4 2020127
5 2014110
6 2014109
7 202194
8 201475
9 201674
10 201868
11 201768
12 201765
13 201954
14 201651
15 201637
16 201534
17 202227
18 201824
19 201624
20 201723

About Eunsoo Won

Eunsoo Won is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Pharmacology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (11 papers), Stress Responses and Cortisol (10 papers), Bipolar Disorder and Treatment (9 papers), Treatment of Major Depression (8 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Biological Psychiatry (384 citations), Behavioral Neuroscience (307 citations), Psychiatry and Mental health (242 citations), Cognitive Neuroscience (333 citations) and Neurology (129 citations). Eunsoo Won has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Yong‐Ku Kim, Byung‐Joo Ham, Kyu‐Man Han, Woo‐Suk Tae, Min-Soo Lee, June Kang, Kyoung‐Sae Na, Sunyoung Choi, Hun Soo Chang and Aram Kim. Their work appears in journals such as Journal of Affective Disorders, Progress in Neuro-Psychopharmacology and Biological Psychiatry, International Journal of Molecular Sciences, Psychiatry Research Neuroimaging 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.

Explore authors with similar magnitude of impact