Ivan Peng
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Psoriasis: Treatment and Pathogenesis
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
Papers in
-
- T-cell and B-cell Immunology 2
- Psoriasis: Treatment and Pathogenesis 2
- Immune Response and Inflammation 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- interferon and immune responses 1
- Co-authors
- Jason DeVoss (6 shared papers)Rajkumar Noubade (2 shared papers)Menno van Lookeren Campagne (2 shared papers)Lauri J. Diehl (2 shared papers)Aditya Murthy (2 shared papers)Patrick Caplazi (3 shared papers)Anand Kumar Katakam (3 shared papers)Mike Reichelt (2 shared papers)
- Journals
- Nature (2 papers)The Journal of Immunology (2 papers)eLife (1 paper)Nature Medicine (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Ivan Peng
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Immunology 524
- Biological Psychiatry 26
- Neurology 81
- Physiology 46
- Epidemiology 272
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 | 303 | |
| 2 | 2014 | 199 | |
| 3 | 2009 | 150 | |
| 4 | 2010 | 123 | |
| 5 | 2018 | 111 | |
| 6 | 2017 | 86 | |
| 7 | 2019 | 76 | |
| 8 | 2010 | 61 | |
| 9 | 2017 | 49 | |
| 10 | 2015 | 43 | |
| 11 | 2017 | 40 | |
| 12 | 2021 | 14 |
About Ivan Peng
Ivan Peng is a scholar working on Immunology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Sensory Systems, having authored 12 papers that have together received 1.3k 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), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper), RNA modifications and cancer (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (524 citations), Biological Psychiatry (26 citations), Neurology (81 citations), Physiology (46 citations) and Epidemiology (272 citations). Ivan Peng has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jason DeVoss, Rajkumar Noubade, Menno van Lookeren Campagne, Lauri J. Diehl, Aditya Murthy, Patrick Caplazi, Anand Kumar Katakam, Mike Reichelt, Merone Roose‐Girma and Wenjun Ouyang. Their work appears in journals such as Nature, The Journal of Immunology, eLife, Nature Medicine and Nature Immunology.
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.