Tai‐Seung Nam
- Neurology top 5%
- Peripheral Neuropathies and Disorders 9
- Parkinson's Disease Mechanisms and Treatments 7
- Myasthenia Gravis and Thymoma 5
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- Genetic Neurodegenerative Diseases 9
- Hereditary Neurological Disorders 9
- Internal Medicine top 10%
- Neurology top 10%
- Peripheral Neuropathies and Disorders 9
- Parkinson's Disease Mechanisms and Treatments 7
- Myasthenia Gravis and Thymoma 5
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- Acute Ischemic Stroke Management 12
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- RNA regulation and disease 6
- Muscle Physiology and Disorders 5
- Co-authors
- Kang‐Ho ChoiMyeong‐Kyu KimJoon‐Tae KimSeong‐Min ChoiSeung‐Han LeeMan‐Seok ParkKi‐Hyun ChoSeok‐Yong Choi
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Brain (1 paper)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Tai‐Seung Nam
78 papers receiving 897 citations
Peers
Comparison fields: 5 of 97
- Neurology 270
- Cellular and Molecular Neuroscience 212
- Internal Medicine 39
- Neurology 64
- Epidemiology 246
Countries citing papers authored by Tai‐Seung Nam
This map shows the geographic impact of Tai‐Seung Nam'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 Tai‐Seung Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Seung Nam more than expected).
Fields of papers citing papers by Tai‐Seung Nam
This network shows the impact of papers produced by Tai‐Seung Nam. 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 Tai‐Seung Nam. The network helps show where Tai‐Seung Nam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tai‐Seung Nam, 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 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 0 | |
| 7 | 2019 | 3 | |
| 8 | 2017 | 16 | |
| 9 | 2017 | 48 | |
| 10 | 2017 | 16 | |
| 11 | 2017 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2013 | 1 | |
| 14 | 2012 | 6 | |
| 15 | Churg-Strauss Syndrome Complicated With Intracerebral Hemorrhage | 2009 | 1 |
| 16 | 2009 | 27 | |
| 17 | 2009 | 14 | |
| 18 | Assessment of Collateral Circulation through Anterior Cerebral Artery Using the Transcranial Doppler in Patients with Acute Middle Cerebral Artery Infarction | 2005 | 0 |
| 19 | Clinical Usefulness of Perfusion CT in Acute Ischemic Stroke | 2002 | 2 |
| 20 | 1970 | 5 |
About Tai‐Seung Nam
Tai‐Seung Nam is a scholar working on Neurology, Cellular and Molecular Neuroscience and Internal Medicine, having authored 87 papers that have together received 909 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (12 papers), Peripheral Neuropathies and Disorders (9 papers), Genetic Neurodegenerative Diseases (9 papers), Hereditary Neurological Disorders (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), RNA regulation and disease (6 papers), Muscle Physiology and Disorders (5 papers) and Myasthenia Gravis and Thymoma (5 papers). The work is most often cited by research in Neurology (270 citations), Cellular and Molecular Neuroscience (212 citations) and Internal Medicine (39 citations). Tai‐Seung Nam has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Kang‐Ho Choi, Myeong‐Kyu Kim, Joon‐Tae Kim, Seong‐Min Choi, Seung‐Han Lee, Man‐Seok Park, Ki‐Hyun Cho, Seok‐Yong Choi, Byeong C. Kim and Sohee Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.
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.