Ivan Peng
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Psoriasis: Treatment and Pathogenesis
Papers in
- Immunology 15
- T-cell and B-cell Immunology 4
- interferon and immune responses 3
- Psoriasis: Treatment and Pathogenesis 3
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- NF-κB Signaling Pathways 5
- Co-authors
- Jason DeVoss (6 shared papers)Rajkumar Noubade (2 shared papers)Patrick Caplazi (3 shared papers)Lauri J. Diehl (2 shared papers)Menno van Lookeren Campagne (2 shared papers)Aditya Murthy (2 shared papers)Anand Kumar Katakam (3 shared papers)Mike Reichelt (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Nature (2 papers)Science Signaling (2 papers)Nature Immunology (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Ivan Peng
21 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 104
- Immunology 686
- Biological Psychiatry 27
- Physiology 51
- Neurology 87
- Oncology 254
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 319 | |
| 2 | 2014 | 209 | |
| 3 | 2009 | 156 | |
| 4 | 2010 | 127 | |
| 5 | 2018 | 116 | |
| 6 | 2013 | 87 | |
| 7 | 2017 | 86 | |
| 8 | 2019 | 76 | |
| 9 | 2010 | 61 | |
| 10 | 2015 | 54 | |
| 11 | 2017 | 51 | |
| 12 | 2017 | 51 | |
| 13 | 2015 | 46 | |
| 14 | 2017 | 40 | |
| 15 | 2015 | 35 | |
| 16 | 2014 | 32 | |
| 17 | 2018 | 30 | |
| 18 | 2018 | 28 | |
| 19 | 2012 | 18 | |
| 20 | 2017 | 18 |
About Ivan Peng
Ivan Peng is a scholar working on Immunology, Cancer Research, Oncology, Sensory Systems and Molecular Biology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), interferon and immune responses (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Inflammasome and immune disorders (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (686 citations), Biological Psychiatry (27 citations), Physiology (51 citations), Neurology (87 citations) and Oncology (254 citations). Ivan Peng has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Jason DeVoss, Rajkumar Noubade, Patrick Caplazi, Lauri J. Diehl, Menno van Lookeren Campagne, Aditya Murthy, Anand Kumar Katakam, Mike Reichelt, Merone Roose‐Girma and Wenjun Ouyang. Their work appears in journals such as The Journal of Immunology, Nature, Science Signaling, Nature Immunology 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.