Li‐Chung Hsu

19.3k total citations · 3 hit papers
81 papers, 5.9k citations indexed

About

Li‐Chung Hsu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Li‐Chung Hsu has authored 81 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 28 papers in Immunology and 16 papers in Oncology. Recurrent topics in Li‐Chung Hsu's work include Immune Response and Inflammation (20 papers), interferon and immune responses (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Li‐Chung Hsu is often cited by papers focused on Immune Response and Inflammation (20 papers), interferon and immune responses (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Li‐Chung Hsu collaborates with scholars based in Taiwan, United States and Japan. Li‐Chung Hsu's co-authors include Michael Karin, Shin Maeda, Lars Eckmann, Jun‐Li Luo, Hideo Yagita∥, Tsung‐Hsien Chuang, Martin F. Kagnoff, Laurie A. Bankston, Mitsutoshi Iimura and Hongjun Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Li‐Chung Hsu

79 papers receiving 5.8k citations

Hit Papers

Specificity in Toll-like receptor signalling through dist... 2005 2026 2012 2019 2005 2005 2007 250 500 750

Peers

Li‐Chung Hsu
Comparison fields: 5 of 127
  • Molecular Biology 2.7k
  • Immunology 2.6k
  • Cancer Research 1.1k
  • Epidemiology 858
  • Oncology 824
Replace Jin Mo Park with:
Jin Mo Park United States
Shuang Yu China
Huaxi Xu China
Franco Di Padova Switzerland
Richard C. Duke United States
Bart Everts Netherlands
Hans A. Lehr Germany
Maya Saleh Canada
Thomas Weichhart Austria
Qiutang Li United States
Jin Mo Park United States View profile →
Citations per field, relative to Li‐Chung Hsu
Li‐Chung Hsu · 1×
Citations per year, relative to Li‐Chung Hsu
Li‐Chung Hsu · 1×

Countries citing papers authored by Li‐Chung Hsu

Since Specialization
Citations

This map shows the geographic impact of Li‐Chung Hsu'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 Li‐Chung Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Chung Hsu more than expected).

Fields of papers citing papers by Li‐Chung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chung Hsu. 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 Li‐Chung Hsu. The network helps show where Li‐Chung Hsu may publish in the future.

Co-authorship network of co-authors of Li‐Chung Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chung Hsu. A scholar is included among the top collaborators of Li‐Chung Hsu 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 Li‐Chung Hsu. Li‐Chung Hsu 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
# Work Indexed citations
1 0
2 2
3 3
4 10
5 50
6 9
7 40
8 22
9 52
10 91
11 138
12 99
13 19
14
Nod2 Mutation in Crohn's Disease Potentiates NF-κB Activity and IL-1ß Processing breakdown →
599
15
Specificity in Toll-like receptor signalling through distinct effector functions of TRAF3 and TRAF6 breakdown →
773
16 313
17 75
18 4
19 5
20 2

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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