Silvia S. Kang
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Biological Psychiatry top 2%
- Immunology top 5%
- Immune Cell Function and Interaction 5
- Inflammation biomarkers and pathways 3
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Physiology top 5%
- Alzheimer's disease research and treatments 5
- Behavioral Neuroscience top 10%
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- Clusterin in disease pathology 4
- Co-authors
- Dorian B. McGavernJohn Denis FryerAishe KurtiMichael L. DustinJiyun V. KimGuojun BuChia‐Chen LiuPaul M. Allen
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Silvia S. Kang
21 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Neurology 817
- Biological Psychiatry 182
- Immunology 714
- Physiology 669
- Behavioral Neuroscience 62
Countries citing papers authored by Silvia S. Kang
This map shows the geographic impact of Silvia S. Kang'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 Silvia S. Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia S. Kang more than expected).
Fields of papers citing papers by Silvia S. Kang
This network shows the impact of papers produced by Silvia S. Kang. 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 Silvia S. Kang. The network helps show where Silvia S. Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia S. Kang, 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 | 2020 | 42 | |
| 2 | 2018 | 164 | |
| 3 | 2017 | 104 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 43 | |
| 6 | 2016 | 91 | |
| 7 | 2016 | 25 | |
| 8 | 2015 | 397 | |
| 9 | 2015 | 54 | |
| 10 | 2014 | 255 | |
| 11 | 2014 | 132 | |
| 12 | 2014 | 6 | |
| 13 | 2011 | 43 | |
| 14 | 2011 | 218 | |
| 15 | 2010 | 25 | |
| 16 | 2009 | 12 | |
| 17 | 2008 | 95 | |
| 18 | 2008 | 265 | |
| 19 | 2005 | 41 | |
| 20 | 2004 | 26 |
About Silvia S. Kang
Silvia S. Kang is a scholar working on Neurology, Biological Psychiatry and Immunology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Alzheimer's disease research and treatments (5 papers), Immune Cell Function and Interaction (5 papers), Clusterin in disease pathology (4 papers), Inflammation biomarkers and pathways (3 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Neurology (817 citations), Biological Psychiatry (182 citations) and Immunology (714 citations). Silvia S. Kang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Dorian B. McGavern, John Denis Fryer, Aishe Kurti, Michael L. Dustin, Jiyun V. Kim, Guojun Bu, Chia‐Chen Liu, Paul M. Allen, Damien A. Fair and Yuka Atagi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.