Nan Wang
Impact in
- Immunology top 2%
- interferon and immune responses
- Mast cells and histamine
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Immunology 50
- Mast cells and histamine 21
- Immunotherapy and Immune Responses 10
- interferon and immune responses 7
- Immune Cell Function and Interaction 6
- Co-authors
- Langchong He (15 shared papers)Kui Li (5 shared papers)Alan R. Tall (3 shared papers)C. J. Peters (2 shared papers)Chien‐Te K. Tseng (2 shared papers)Jue Wang (13 shared papers)Yongjing Zhang (16 shared papers)Patrick Linsel‐Nitschke (2 shared papers)
- Journals
- The Journal of Immunology (5 papers)Biochemical Pharmacology (4 papers)Scientific Reports (3 papers)International Immunopharmacology (3 papers)Journal of Virology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Nan Wang
126 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 135
- Immunology 976
- Infectious Diseases 590
- Immunology and Allergy 159
- Animal Science and Zoology 193
- Pharmacology 150
Countries citing papers authored by Nan Wang
This map shows the geographic impact of Nan Wang'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 Nan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Wang more than expected).
Fields of papers citing papers by Nan Wang
This network shows the impact of papers produced by Nan Wang. 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 Nan Wang. The network helps show where Nan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Wang, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 317 | |
| 2 | 2003 | 211 | |
| 3 | 2006 | 188 | |
| 4 | 2006 | 163 | |
| 5 | 2011 | 96 | |
| 6 | 2010 | 83 | |
| 7 | 2021 | 79 | |
| 8 | 2021 | 78 | |
| 9 | 2014 | 76 | |
| 10 | 2010 | 64 | |
| 11 | 2017 | 63 | |
| 12 | 2011 | 61 | |
| 13 | 2016 | 61 | |
| 14 | 2017 | 59 | |
| 15 | 1996 | 58 | |
| 16 | 2013 | 53 | |
| 17 | 2020 | 53 | |
| 18 | 2009 | 51 | |
| 19 | 2001 | 49 | |
| 20 | 2010 | 48 |
About Nan Wang
Nan Wang is a scholar working on Immunology, Molecular Biology, Surgery, Physiology and Infectious Diseases, having authored 137 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mast cells and histamine (21 papers), Immunotherapy and Immune Responses (10 papers), Urticaria and Related Conditions (9 papers), Analytical Chemistry and Chromatography (8 papers), interferon and immune responses (7 papers), Asthma and respiratory diseases (7 papers), Immune Cell Function and Interaction (6 papers) and Traditional Chinese Medicine Analysis (5 papers). The work is most often cited by research in Immunology (976 citations), Infectious Diseases (590 citations), Immunology and Allergy (159 citations), Animal Science and Zoology (193 citations) and Pharmacology (150 citations). Nan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Langchong He, Kui Li, Alan R. Tall, C. J. Peters, Chien‐Te K. Tseng, Jue Wang, Yongjing Zhang, Patrick Linsel‐Nitschke, Rui Liu and Yanjun Cao. Their work appears in journals such as The Journal of Immunology, Biochemical Pharmacology, Scientific Reports, International Immunopharmacology and Journal of Virology.
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.