Richard Wang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
- Epidemiology 31
- Acute Ischemic Stroke Management 16
- Co-authors
- Zheng W. Chen (21 shared papers)Jennifer Rexford (2 shared papers)Donald P. Ballou (1 shared paper)Giri Kumar Tayi (1 shared paper)Harold L. Pazer (1 shared paper)Zhixiang Wang (8 shared papers)Crystal Y. Chen (16 shared papers)Dan Huang (13 shared papers)
- Journals
- The Journal of Immunology (6 papers)Advanced Materials (4 papers)Journal of Virology (4 papers)PLoS ONE (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Richard Wang
157 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Immunology 762
- Infectious Diseases 574
- Management Science and Operations Research 357
- Management Information Systems 239
- Virology 113
Countries citing papers authored by Richard Wang
This map shows the geographic impact of Richard 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 Richard Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Wang more than expected).
Fields of papers citing papers by Richard Wang
This network shows the impact of papers produced by Richard 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 Richard Wang. The network helps show where Richard Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 347 | |
| 2 | 2012 | 297 | |
| 3 | OpenFlow-based server load balancing gone wild Hit paper breakdown → | 2011 | 275 |
| 4 | 1987 | 235 | |
| 5 | 2009 | 218 | |
| 6 | Precision Medicine: Disease Subtyping and Tailored Treatment Hit paper breakdown → | 2023 | 135 |
| 7 | 2017 | 131 | |
| 8 | 2010 | 108 | |
| 9 | 2020 | 97 | |
| 10 | 2013 | 94 | |
| 11 | 1984 | 92 | |
| 12 | 2016 | 89 | |
| 13 | 2019 | 84 | |
| 14 | 2005 | 83 | |
| 15 | 2008 | 77 | |
| 16 | 1974 | 76 | |
| 17 | 2008 | 70 | |
| 18 | 1995 | 70 | |
| 19 | 2013 | 68 | |
| 20 | 2014 | 67 |
About Richard Wang
Richard Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Electrical and Electronic Engineering, having authored 171 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (16 papers), Cerebrovascular and Carotid Artery Diseases (13 papers), Tuberculosis Research and Epidemiology (10 papers), Stroke Rehabilitation and Recovery (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Data Management and Algorithms (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Immunology (762 citations), Infectious Diseases (574 citations), Management Science and Operations Research (357 citations), Management Information Systems (239 citations) and Virology (113 citations). Richard Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zheng W. Chen, Jennifer Rexford, Donald P. Ballou, Giri Kumar Tayi, Harold L. Pazer, Zhixiang Wang, Crystal Y. Chen, Dan Huang, John Morgan and Ling Shen. Their work appears in journals such as The Journal of Immunology, Advanced Materials, Journal of Virology, PLoS ONE and Proceedings of the National Academy of Sciences.
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.