Weiming Yuan
- Immunology top 1%
- Immune Cell Function and Interaction 19
- interferon and immune responses 11
- T-cell and B-cell Immunology 9
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research 6
- Herpesvirus Infections and Treatments 5
- Modeling and Simulation top 5%
- Oncology top 10%
- CAR-T cell therapy research 6
- Co-authors
- Robert M. KrugPeter CresswellDiana L. NoahAnindya DasguptaMelissa L. KelleyPinghui FengJon M. HuibregtseChen Zhao
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weiming Yuan
43 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 98
- Immunology 1.7k
- Infectious Diseases 380
- Epidemiology 710
- Modeling and Simulation 75
- Oncology 424
Countries citing papers authored by Weiming Yuan
This map shows the geographic impact of Weiming Yuan'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 Weiming Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Yuan more than expected).
Fields of papers citing papers by Weiming Yuan
This network shows the impact of papers produced by Weiming Yuan. 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 Weiming Yuan. The network helps show where Weiming Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiming Yuan, 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 | 2024 | 11 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 0 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 32 | |
| 10 | 2016 | 96 | |
| 11 | 2015 | 164 | |
| 12 | 2015 | 3 | |
| 13 | 2013 | 1 | |
| 14 | 2011 | 3 | |
| 15 | 2009 | 75 | |
| 16 | 2007 | 91 | |
| 17 | 2006 | 131 | |
| 18 | 2003 | 210 | |
| 19 | 2003 | 69 | |
| 20 | 2002 | 29 |
About Weiming Yuan
Weiming Yuan is a scholar working on Immunology, Physiology and Infectious Diseases, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), interferon and immune responses (11 papers), T-cell and B-cell Immunology (9 papers), CAR-T cell therapy research (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Immunology (1.7k citations), Infectious Diseases (380 citations) and Epidemiology (710 citations). Weiming Yuan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert M. Krug, Peter Cresswell, Diana L. Noah, Anindya Dasgupta, Melissa L. Kelley, Pinghui Feng, Jon M. Huibregtse, Chen Zhao, Sylvie Beaudenon and Brenda A. Schulman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.