Ivan Peng
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
Papers in
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- T-cell and B-cell Immunology 2
- Psoriasis: Treatment and Pathogenesis 2
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
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- Inflammasome and immune disorders 3
- Ubiquitin and proteasome pathways 1
- Ion channel regulation and function 1
- Co-authors
- Jason DeVoss (6 shared papers)Rajkumar Noubade (2 shared papers)Menno van Lookeren Campagne (2 shared papers)Aditya Murthy (2 shared papers)Patrick Caplazi (3 shared papers)Lauri Diehl (2 shared papers)Anand Kumar Katakam (3 shared papers)Merone Roose‐Girma (2 shared papers)
- Journals
- Nature (2 papers)The Journal of Immunology (2 papers)Journal of Neuroimmunology (1 paper)Nature Communications (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Ivan Peng
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Immunology 502
- Biological Psychiatry 23
- Neurology 77
- Physiology 45
- Epidemiology 263
Countries citing papers authored by Ivan Peng
This map shows the geographic impact of Ivan Peng'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 Ivan Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Peng more than expected).
Fields of papers citing papers by Ivan Peng
This network shows the impact of papers produced by Ivan Peng. 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 Ivan Peng. The network helps show where Ivan Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Peng, 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 | 2014 | 288 | |
| 2 | 2014 | 190 | |
| 3 | 2009 | 142 | |
| 4 | 2010 | 116 | |
| 5 | 2018 | 110 | |
| 6 | 2017 | 85 | |
| 7 | 2019 | 72 | |
| 8 | 2010 | 61 | |
| 9 | 2017 | 45 | |
| 10 | 2017 | 41 | |
| 11 | 2015 | 40 | |
| 12 | 2021 | 13 |
About Ivan Peng
Ivan Peng is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (3 papers), T-cell and B-cell Immunology (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Immune Response and Inflammation (2 papers), Ubiquitin and proteasome pathways (1 paper), NF-κB Signaling Pathways (1 paper), Ion channel regulation and function (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (502 citations), Biological Psychiatry (23 citations), Neurology (77 citations), Physiology (45 citations) and Epidemiology (263 citations). Ivan Peng has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Jason DeVoss, Rajkumar Noubade, Menno van Lookeren Campagne, Aditya Murthy, Patrick Caplazi, Lauri Diehl, Anand Kumar Katakam, Merone Roose‐Girma, Mike Reichelt and Naruhisa Ota. Their work appears in journals such as Nature, The Journal of Immunology, Journal of Neuroimmunology, Nature Communications and Nature Medicine.
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.