EunRan Suh
Impact in
Papers in
- Neurology 30
- Parkinson's Disease Mechanisms and Treatments 27
- Amyotrophic Lateral Sclerosis Research 17
- Neurological diseases and metabolism 10
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Physiology 21
- Alzheimer's disease research and treatments 16
- Lysosomal Storage Disorders Research 4
- Co-authors
- Peter G. TraberVivianna M. Van DeerlinEdward B. LeeDavid J. IrwinJohn Q. TrojanowskiMurray GrossmanVirginia M.‐Y. LeeLili Chen
- Journals
- Acta Neuropathologica (10 papers)Journal of Neuropathology & Experimental Neurology (4 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (4 papers)Brain (3 papers)Neurology (3 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
EunRan Suh
49 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Neurology 1.5k
- Neurology 662
- Genetics 449
- Physiology 1.0k
- Genetics 879
Countries citing papers authored by EunRan Suh
This map shows the geographic impact of EunRan Suh'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 EunRan Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites EunRan Suh more than expected).
Fields of papers citing papers by EunRan Suh
This network shows the impact of papers produced by EunRan Suh. 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 EunRan Suh. The network helps show where EunRan Suh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside EunRan Suh, 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 | 2025 | 1 | |
| 2 | 2023 | 18 | |
| 3 | 2023 | 71 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 9 | |
| 8 | 2017 | 0 | |
| 9 | 2017 | 156 | |
| 10 | 2017 | 31 | |
| 11 | 2017 | 96 | |
| 12 | 2015 | 38 | |
| 13 | 2015 | 50 | |
| 14 | 2014 | 90 | |
| 15 | 2014 | 5 | |
| 16 | 2013 | 93 | |
| 17 | 2013 | 38 | |
| 18 | 2004 | 38 | |
| 19 | 2000 | 56 | |
| 20 | 1992 | 17 |
About EunRan Suh
EunRan Suh is a scholar working on Neurology, Neurology, Physiology, Genetics and Genetics, having authored 52 papers that have together received 3.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (27 papers), Amyotrophic Lateral Sclerosis Research (17 papers), Alzheimer's disease research and treatments (16 papers), Neurological diseases and metabolism (10 papers), Digestive system and related health (9 papers), Neurogenetic and Muscular Disorders Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Neurology (1.5k citations), Neurology (662 citations), Genetics (449 citations), Physiology (1.0k citations) and Genetics (879 citations). EunRan Suh has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Peter G. Traber, Vivianna M. Van Deerlin, Edward B. Lee, David J. Irwin, John Q. Trojanowski, Murray Grossman, Virginia M.‐Y. Lee, Lili Chen, Jennifer Taylor and John Robinson. Their work appears in journals such as Acta Neuropathologica, Journal of Neuropathology & Experimental Neurology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Brain and Neurology.
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.