Silvia S. Kang

3.0k citations
21 papers · 2.1k indexed · h-index 18
Topics
Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Alzheimer's disease research and treatments (5 papers)Immune Cell Function and Interaction (5 papers)

In The Last Decade

Silvia S. Kang

21 papers receiving 2.1k citations

Peers

Silvia S. Kang
Comparison fields: 5 of 101
  • Neurology 817
  • Immunology 714
  • Physiology 669
  • Molecular Biology 577
  • Infectious Diseases 191
Replace Julie K. Olson with:
Julie K. Olson United States
Ivana Marventano Italy
Corinne Benakis Germany
Jasmin Herz United States
Shih‐Heng Chen Taiwan
Franca Rosa Guerini Italy
James R. Lokensgard United States
Sunhee C. Lee United States
Lorise C. Gahring United States
Suzanne Campion United Kingdom
Silvia S. Kang relative to Julie K. Olson United States Julie K. Olson's profile →
Citations per field
00.5×
Julie K. Olson · 1×
Citations per year

Countries citing papers authored by Silvia S. Kang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Silvia S. Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia S. Kang. A scholar is included among the top collaborators of Silvia S. Kang 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 Silvia S. Kang. Silvia S. Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 42
2 164
3 104
4 1
5 43
6 91
7 25
8 397
9 54
10 255
11 132
12 6
13 43
14 218
15 25
16 12
17 95
18 265
19 41
20 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) and Immune Cell Function and Interaction (5 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.

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