Lan H. Chu
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
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- Inflammasome and immune disorders 7
- RNA Research and Splicing 2
-
- interferon and immune responses 5
- Immune Response and Inflammation 2
- Co-authors
- Christian Stehlik (7 shared papers)Andrea Dorfleutner (7 shared papers)Anu Gangopadhyay (4 shared papers)Rojo A. Ratsimandresy (3 shared papers)Mohanalaxmi Indramohan (3 shared papers)Emily P. Morris (1 shared paper)Denise M. Monack (1 shared paper)Xuerong Wang (1 shared paper)
- Journals
- Nature Communications (2 papers)Microbial Pathogenesis (1 paper)Neuropeptides (1 paper)Science (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Lan H. Chu
12 papers receiving 560 citations
Lan H. Chu's Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 238
- Nephrology 69
- Molecular Biology 470
- Biological Psychiatry 15
- Pharmacology 27
Countries citing papers authored by Lan H. Chu
This map shows the geographic impact of Lan H. Chu'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 Lan H. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan H. Chu more than expected).
Fields of papers citing papers by Lan H. Chu
This network shows the impact of papers produced by Lan H. Chu. 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 Lan H. Chu. The network helps show where Lan H. Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan H. Chu, 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 | 2018 | 150 | |
| 2 | ADAR1 mutation causes ZBP1-dependent immunopathology Hit paper breakdown → | 2022 | 145 |
| 3 | 2017 | 52 | |
| 4 | 2015 | 50 | |
| 5 | 2017 | 45 | |
| 6 | 2015 | 45 | |
| 7 | 2022 | 35 | |
| 8 | 2014 | 30 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 |
About Lan H. Chu
Lan H. Chu is a scholar working on Molecular Biology, Immunology, Surgery, Nephrology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 571 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (7 papers), interferon and immune responses (5 papers), Immune Response and Inflammation (2 papers), Kawasaki Disease and Coronary Complications (2 papers), RNA Research and Splicing (2 papers), Endometriosis Research and Treatment (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Immunology (238 citations), Nephrology (69 citations), Molecular Biology (470 citations), Biological Psychiatry (15 citations) and Pharmacology (27 citations). Lan H. Chu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Christian Stehlik, Andrea Dorfleutner, Anu Gangopadhyay, Rojo A. Ratsimandresy, Mohanalaxmi Indramohan, Emily P. Morris, Denise M. Monack, Xuerong Wang, Sonal Khare and Nandan S. Gokhale. Their work appears in journals such as Nature Communications, Microbial Pathogenesis, Neuropeptides, Science and Cell Reports.
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.