Tae‐In Kam
- Molecular Biology top 5%
- Neurology top 1%
- Physiology top 2%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Valina L. DawsonTed M. DawsonYong‐Keun JungJihoon NahSunmin JungSenthilkumar S. KaruppagounderSeung-Min YooJared T. Hinkle
- Topics
- Alzheimer's disease research and treatments (18 papers)Parkinson's Disease Mechanisms and Treatments (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)
- Cited by
- NeurologyBiological Psychiatry
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Tae‐In Kam
37 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.3k
- Neurology 1.1k
- Physiology 1.1k
- Neurology 788
- Cellular and Molecular Neuroscience 657
Countries citing papers authored by Tae‐In Kam
This map shows the geographic impact of Tae‐In Kam'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 Tae‐In Kam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐In Kam more than expected).
Fields of papers citing papers by Tae‐In Kam
This network shows the impact of papers produced by Tae‐In Kam. 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 Tae‐In Kam. The network helps show where Tae‐In Kam may publish in the future.
Co-authorship network of co-authors of Tae‐In Kam
This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐In Kam. A scholar is included among the top collaborators of Tae‐In Kam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae‐In Kam. Tae‐In Kam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 28 | |
| 5 | Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson’s diseasebreakdown → | 139 |
| 6 | 18 | |
| 7 | 134 | |
| 8 | 13 | |
| 9 | 247 | |
| 10 | 80 | |
| 11 | Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Diseasebreakdown → | 961 |
| 12 | 54 | |
| 13 | 24 | |
| 14 | 105 | |
| 15 | 21 | |
| 16 | 52 | |
| 17 | 47 | |
| 18 | 71 | |
| 19 | 79 | |
| 20 | 20 |
About Tae‐In Kam
Tae‐In Kam is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 3.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Neurology (788 citations), Biological Psychiatry (216 citations) and Neurology (1.1k citations). Tae‐In Kam has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Valina L. Dawson, Ted M. Dawson, Yong‐Keun Jung, Jihoon Nah, Sunmin Jung, Senthilkumar S. Karuppagounder, Seung-Min Yoo, Jared T. Hinkle, Nikhil Panicker and Hye-Hyun Ahn. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.