Sehwon Koh
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Genetics 3
- Animal Genetics and Reproduction 4
- Co-authors
- Jorge A. Piedrahita (9 shared papers)Çağla Eroğlu (4 shared papers)Namsoo Kim (2 shared papers)Henry H. Yin (2 shared papers)Debra L. Silver (1 shared paper)William Christopher Risher (1 shared paper)Guoping Feng (1 shared paper)Scott H. Soderling (1 shared paper)
- Journals
- American Journal of Veterinary Research (2 papers)Theriogenology (2 papers)Journal of Neuroscience (2 papers)Developmental Biology (1 paper)Reproduction Fertility and Development (1 paper)
- Partner nations
- United StatesFranceBulgaria
In The Last Decade
Sehwon Koh
19 papers receiving 537 citations
Peers
Comparison fields: 5 of 77
- Aging 46
- Developmental Neuroscience 50
- Neurology 75
- Cellular and Molecular Neuroscience 120
- Genetics 48
Countries citing papers authored by Sehwon Koh
This map shows the geographic impact of Sehwon Koh'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 Sehwon Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sehwon Koh more than expected).
Fields of papers citing papers by Sehwon Koh
This network shows the impact of papers produced by Sehwon Koh. 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 Sehwon Koh. The network helps show where Sehwon Koh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sehwon Koh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2018 | 82 | |
| 3 | 2013 | 55 | |
| 4 | 2012 | 52 | |
| 5 | 2017 | 33 | |
| 6 | Stem cell transplantation into the intraventricular space via an Ommaya reservoir in a patient with amyotrophic lateral sclerosis. | 2012 | 32 |
| 7 | 2018 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2009 | 26 | |
| 10 | 2015 | 26 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2017 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2013 | 1 |
About Sehwon Koh
Sehwon Koh is a scholar working on Neurology, Genetics, Developmental Neuroscience, Genetics and Molecular Biology, having authored 19 papers that have together received 547 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cancer-related molecular mechanisms research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Aging (46 citations), Developmental Neuroscience (50 citations), Neurology (75 citations), Cellular and Molecular Neuroscience (120 citations) and Genetics (48 citations). Sehwon Koh has collaborated with scholars based in United States, France and Bulgaria. Frequent co-authors include Jorge A. Piedrahita, Çağla Eroğlu, Namsoo Kim, Henry H. Yin, Debra L. Silver, William Christopher Risher, Guoping Feng, Scott H. Soderling, Natasha J. Olby and Louis‐Jan Pilaz. Their work appears in journals such as American Journal of Veterinary Research, Theriogenology, Journal of Neuroscience, Developmental Biology and Reproduction Fertility and Development.
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.