Won Chan Oh

2.7k citations
27 papers · 1.4k · h-index 18

Impact in

Papers in

Won Chan Oh

25 papers receiving 1.4k citations

Peers

Won Chan Oh
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 925
  • Developmental Neuroscience 107
  • Biological Psychiatry 44
  • Cognitive Neuroscience 352
  • Biophysics 96
Replace Maksym V. Kopanitsa with:
Maksym V. Kopanitsa United Kingdom
Claude Schweizer Switzerland
Yongling Zhu United States
Michael C. Ashby United Kingdom
Shiva K. Tyagarajan Switzerland
Tanya L. Daigle United States
Julien P. Dupuis France
Christine E. Gee Germany
Gabriele Lignani United Kingdom
Andrea Barberis Italy
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Citations per field
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Maksym V. Kopanitsa · 1×
Citations per year

Countries citing papers authored by Won Chan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Won Chan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021150
2 2016149
3 2016140
4 2012131
5 2012121
6 2017116
7 2014113
8 201784
9 201168
10 201865
11 201937
12 201426
13 202423
14 202020
15 202219
16 202119
17 202219
18 201817
19 201616
20 202015

About Won Chan Oh

Won Chan Oh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Photoreceptor and optogenetics research (8 papers), Neural dynamics and brain function (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neural Engineering (4 papers), Receptor Mechanisms and Signaling (3 papers), Retinal Development and Disorders (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (925 citations), Developmental Neuroscience (107 citations), Biological Psychiatry (44 citations), Cognitive Neuroscience (352 citations) and Biophysics (96 citations). Won Chan Oh has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Karen Zito, Hyung-Bae Kwon, Travis C. Hill, Laxmi Kumar Parajuli, Pablo E. Castillo, Stefano Lutzu, In-Wook Hwang, Ivar S. Stein, Kanghoon Jung and Johannes Hell. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, Nature Communications, Molecules and Cells and Cell 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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