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
- Immune Response and Inflammation
Papers in
-
- 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)Friederike Feldmann (3 shared papers)Atsushi Okumura (3 shared papers)Yoshihiro Kawaoka (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)BMC Genomics (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jean Chang
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Infectious Diseases 411
- Immunology 340
- Epidemiology 420
- Animal Science and Zoology 121
- Virology 56
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 234 | |
| 2 | 2009 | 181 | |
| 3 | Rhodopsin transgenic pigs as a model for human retinitis pigmentosa. | 1998 | 115 |
| 4 | 2012 | 93 | |
| 5 | 2021 | 78 | |
| 6 | 2006 | 69 | |
| 7 | 2011 | 64 | |
| 8 | 2008 | 43 | |
| 9 | 2012 | 41 | |
| 10 | 2008 | 38 | |
| 11 | 2019 | 34 | |
| 12 | 2014 | 34 | |
| 13 | 2015 | 30 | |
| 14 | 2017 | 27 | |
| 15 | 2008 | 25 | |
| 16 | 2014 | 24 | |
| 17 | 2018 | 22 | |
| 18 | 2011 | 22 | |
| 19 | 2014 | 22 | |
| 20 | 1997 | 19 |
About Jean Chang
Jean Chang is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and General Health Professions, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Influenza Virus Research Studies (6 papers), Immune Response and Inflammation (4 papers), HIV Research and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Food Security and Health in Diverse Populations (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Infectious Diseases (411 citations), Immunology (340 citations), Epidemiology (420 citations), Animal Science and Zoology (121 citations) and Virology (56 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, Friederike Feldmann, Atsushi Okumura, Yoshihiro Kawaoka, Sean Proll, Angela L. Rasmussen and Lauri D. Aicher. Their work appears in journals such as Journal of Virology, PLoS Pathogens, International Journal of Environmental Research and Public Health, BMC Genomics 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.