Stewart T. Chang
- Virology top 5%
- HIV Research and Treatment 3
- Immunology top 10%
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 4
- interferon and immune responses 3
- Immunotherapy and Immune Responses 3
- Infectious Diseases top 10%
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 2
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- vaccines and immunoinformatics approaches 3
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- Influenza Virus Research Studies 2
- Co-authors
- Jennifer J. LindermanDenise E. KirschnerMichael G. KatzePavel SovaRobert E. PalermoTimothy LaingDaniel PowersDeborah Carr
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Stewart T. Chang
19 papers receiving 721 citations
Peers
Comparison fields: 5 of 86
- Virology 92
- Immunology 317
- Infectious Diseases 186
- Modeling and Simulation 32
- Rheumatology 76
Countries citing papers authored by Stewart T. Chang
This map shows the geographic impact of Stewart T. Chang'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 Stewart T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stewart T. Chang more than expected).
Fields of papers citing papers by Stewart T. Chang
This network shows the impact of papers produced by Stewart T. Chang. 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 Stewart T. Chang. The network helps show where Stewart T. Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stewart T. Chang, 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 | 2022 | 8 | |
| 2 | 2022 | 3 | |
| 3 | 2020 | 29 | |
| 4 | 2019 | 7 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 11 | |
| 7 | 2015 | 50 | |
| 8 | 2013 | 44 | |
| 9 | 2012 | 38 | |
| 10 | 2012 | 41 | |
| 11 | 2011 | 16 | |
| 12 | 2011 | 18 | |
| 13 | 2011 | 64 | |
| 14 | 2008 | 22 | |
| 15 | 2007 | 63 | |
| 16 | 2006 | 58 | |
| 17 | 2005 | 66 | |
| 18 | 1996 | 170 | |
| 19 | 1994 | 14 |
About Stewart T. Chang
Stewart T. Chang is a scholar working on Virology, Modeling and Simulation and Immunology, having authored 19 papers that have together received 737 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers), interferon and immune responses (3 papers), HIV Research and Treatment (3 papers), vaccines and immunoinformatics approaches (3 papers), Immunotherapy and Immune Responses (3 papers), Influenza Virus Research Studies (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Virology (92 citations), Immunology (317 citations) and Infectious Diseases (186 citations). Stewart T. Chang has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jennifer J. Linderman, Denise E. Kirschner, Michael G. Katze, Pavel Sova, Robert E. Palermo, Timothy Laing, Daniel Powers, Deborah Carr, Nahid Hemati and Jinghui Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.