Yohan Oh

26 papers receiving 896 citations

Peers

Yohan Oh
Comparison fields: 5 of 76
  • Developmental Neuroscience 45
  • Neurology 153
  • Cellular and Molecular Neuroscience 183
  • Molecular Biology 634
  • Cell Biology 95
Replace Ting Zhao with:
Ting Zhao China
Jennifer Zenker Australia
Íñigo Casafont Spain
Lai Ping Yaw Singapore
Keiko Nakanishi Japan
Cecilia Zuliani Germany
Tara Martinez United States
Matthew D. Howell United States
Catia Andreassi United Kingdom
Saravanan Karumbayaram United States
Yohan Oh relative to Ting Zhao China Ting Zhao's profile →
Citations per field
00.5×2.5×
Ting Zhao · 1×
Citations per year

Countries citing papers authored by Yohan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Yohan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yohan 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 Yohan Oh Line = papers co-authored together Yohan 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 2014112
2 201097
3 201686
4 201176
5 200963
6 201155
7 201243
8 201040
9 200735
10 202034
11 202332
12 200726
13 201625
14 202124
15 201923
16 202222
17 201320
18 201219
19 202217
20 201213

About Yohan Oh

Yohan Oh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Oncology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 902 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Ubiquitin and proteasome pathways (6 papers), Pluripotent Stem Cells Research (5 papers), Signaling Pathways in Disease (3 papers), Down syndrome and intellectual disability research (3 papers), Neurological disorders and treatments (3 papers), Photoreceptor and optogenetics research (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Developmental Neuroscience (45 citations), Neurology (153 citations), Cellular and Molecular Neuroscience (183 citations), Molecular Biology (634 citations) and Cell Biology (95 citations). Yohan Oh has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Kwang Chul Chung, Joongkyu Park, Gabsang Lee, Yong Jun Kim, M. Maral Mouradian, Yong Man Kim, Xinzhong Dong, Ji Won Um, Hotae Lim and In Young Choi. Their work appears in journals such as Journal of Biological Chemistry, BMB Reports, Cell stem cell, Biochemical and Biophysical Research Communications and Frontiers in Cell and Developmental Biology.

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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