Nancy Chang
- Virology top 0.2%
- HIV Research and Treatment 9
- Infectious Diseases top 1%
- Immunology top 2%
- T-cell and Retrovirus Studies 13
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 14
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- Monoclonal and Polyclonal Antibodies Research 8
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- Diabetes Management and Research 12
- Diabetes Treatment and Management 6
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- Vector-Borne Animal Diseases 8
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- Glycosylation and Glycoproteins Research 5
- Co-authors
- John GhrayebTse Wen ChangFlossie Wong‐StaalRobert C. GalloLucinda A. IvanoffErik A. WhitehornB StarcichRoberto Patarca
- Journals
- The Journal of Immunology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Pediatric Diabetes (3 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Nancy Chang
52 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Virology 2.4k
- Infectious Diseases 1.5k
- Immunology 1.2k
- Agronomy and Crop Science 352
- Radiology, Nuclear Medicine and Imaging 520
Countries citing papers authored by Nancy Chang
This map shows the geographic impact of Nancy 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 Nancy Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Chang more than expected).
Fields of papers citing papers by Nancy Chang
This network shows the impact of papers produced by Nancy 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 Nancy Chang. The network helps show where Nancy Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nancy 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2022 | 94 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 12 | |
| 9 | 2004 | 18 | |
| 10 | 2000 | 26 | |
| 11 | 1995 | 34 | |
| 12 | 1993 | 60 | |
| 13 | 1992 | 10 | |
| 14 | 1992 | 3 | |
| 15 | 1991 | 33 | |
| 16 | 1990 | 30 | |
| 17 | 1988 | 8 | |
| 18 | 1986 | 25 | |
| 19 | 1986 | 22 | |
| 20 | 1986 | 178 |
About Nancy Chang
Nancy Chang is a scholar working on Virology, Agronomy and Crop Science and Family Practice, having authored 56 papers that have together received 4.0k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), T-cell and Retrovirus Studies (13 papers), Diabetes Management and Research (12 papers), HIV Research and Treatment (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Vector-Borne Animal Diseases (8 papers), Diabetes Treatment and Management (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Virology (2.4k citations), Infectious Diseases (1.5k citations) and Immunology (1.2k citations). Nancy Chang has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include John Ghrayeb, Tse Wen Chang, Flossie Wong‐Staal, Robert C. Gallo, Lucinda A. Ivanoff, Erik A. Whitehorn, B Starcich, Roberto Patarca, Stephen R. Petteway and J. Antoni Rafalski. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Pediatric Diabetes, Journal of Virology and Nature.
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.