Jean Chang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 10%
- interferon and immune responses
Papers in
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- Genomics and Phylogenetic Studies 3
-
- Influenza Virus Research Studies 6
- Co-authors
- Michael G. Katze (10 shared papers)Heinz Feldmann (3 shared papers)Ann H. Milam (2 shared papers)Zongyi Li (2 shared papers)Yang Zhou (6 shared papers)Yoshihiro Kawaoka (3 shared papers)Angela L. Rasmussen (3 shared papers)Sean Proll (3 shared papers)
- Journals
- Journal of Virology (4 papers)PLoS Pathogens (3 papers)International Journal of Environmental Research and Public Health (2 papers)Journal of Bacteriology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jean Chang
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Infectious Diseases 403
- Immunology 325
- Epidemiology 410
- Virology 51
- Animal Science and Zoology 113
Countries citing papers authored by Jean Chang
This map shows the geographic impact of Jean 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 Jean Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Chang more than expected).
Fields of papers citing papers by Jean Chang
This network shows the impact of papers produced by Jean 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 Jean Chang. The network helps show where Jean Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 241 | |
| 2 | 2009 | 186 | |
| 3 | Rhodopsin transgenic pigs as a model for human retinitis pigmentosa. | 1998 | 123 |
| 4 | 2012 | 96 | |
| 5 | 2021 | 83 | |
| 6 | 2006 | 75 | |
| 7 | 2011 | 64 | |
| 8 | 2008 | 49 | |
| 9 | 2008 | 48 | |
| 10 | 2012 | 43 | |
| 11 | 2007 | 41 | |
| 12 | 2019 | 35 | |
| 13 | 2014 | 35 | |
| 14 | 2015 | 31 | |
| 15 | 2017 | 30 | |
| 16 | 2012 | 27 | |
| 17 | 2008 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2014 | 24 | |
| 20 | 2011 | 23 |
About Jean Chang
Jean Chang is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Immunology and General Health Professions, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), interferon and immune responses (3 papers), Genomics and Phylogenetic Studies (3 papers), HIV Research and Treatment (3 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Food Security and Health in Diverse Populations (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Infectious Diseases (403 citations), Immunology (325 citations), Epidemiology (410 citations), Virology (51 citations) and Animal Science and Zoology (113 citations). Jean Chang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael G. Katze, Heinz Feldmann, Ann H. Milam, Zongyi Li, Yang Zhou, Yoshihiro Kawaoka, Angela L. Rasmussen, Sean Proll, Lauri D. Aicher and Friederike Feldmann. Their work appears in journals such as Journal of Virology, PLoS Pathogens, International Journal of Environmental Research and Public Health, Journal of Bacteriology and PLoS ONE.
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.