Silvia S. Kang

3.0k citations
21 papers · 2.1k indexed · h-index 18
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms 7
  • 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
    • Clusterin in disease pathology 4

Silvia S. Kang

21 papers receiving 2.1k citations

Peers

Silvia S. Kang
Comparison fields: 5 of 101
  • Neurology 817
  • Biological Psychiatry 182
  • Immunology 714
  • Physiology 669
  • Behavioral Neuroscience 62
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
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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

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.

Border = papers with Silvia S. Kang Line = papers co-authored together Silvia S. Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202042
2 2018164
3 2017104
4 20171
5 201743
6 201691
7 201625
8 2015397
9 201554
10 2014255
11 2014132
12 20146
13 201143
14 2011218
15 201025
16 200912
17 200895
18 2008265
19 200541
20 200426

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.

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