Nancy Chiang
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Molecular Medicine top 10%
Papers in
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- Monoclonal and Polyclonal Antibodies Research 6
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- Glycosylation and Glycoproteins Research 2
- Protein purification and stability 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Gerald Nakamura (8 shared papers)Zhonghua Lin (4 shared papers)Alberto Estevez (3 shared papers)James T. Koerber (2 shared papers)Jian Payandeh (2 shared papers)Ning Chai (3 shared papers)Lee R. Swem (3 shared papers)Claudio Ciferri (3 shared papers)
- Journals
- Nature Protocols (1 paper)Journal of Immunological Methods (1 paper)Cell Host & Microbe (1 paper)Proceedings of the National Academy of Sciences (1 paper)mAbs (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Nancy Chiang
9 papers receiving 498 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 199
- Molecular Medicine 41
- Immunology 139
- Structural Biology 9
- Epidemiology 177
Countries citing papers authored by Nancy Chiang
This map shows the geographic impact of Nancy Chiang'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 Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Chiang more than expected).
Fields of papers citing papers by Nancy Chiang
This network shows the impact of papers produced by Nancy Chiang. 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 Chiang. The network helps show where Nancy Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Chiang, 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 | 2013 | 139 | |
| 2 | 2020 | 135 | |
| 3 | 2018 | 124 | |
| 4 | 2017 | 50 | |
| 5 | 2010 | 25 | |
| 6 | 2018 | 21 | |
| 7 | 2014 | 19 | |
| 8 | 2017 | 8 | |
| 9 | 2021 | 6 |
About Nancy Chiang
Nancy Chiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Epidemiology and Genetics, having authored 9 papers that have together received 527 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), T-cell and B-cell Immunology (3 papers), Glycosylation and Glycoproteins Research (2 papers), Influenza Virus Research Studies (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Protein purification and stability (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (199 citations), Molecular Medicine (41 citations), Immunology (139 citations), Structural Biology (9 citations) and Epidemiology (177 citations). Nancy Chiang has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Gerald Nakamura, Zhonghua Lin, Alberto Estevez, James T. Koerber, Jian Payandeh, Ning Chai, Lee R. Swem, Claudio Ciferri, Henry Chiu and Summer Park. Their work appears in journals such as Nature Protocols, Journal of Immunological Methods, Cell Host & Microbe, Proceedings of the National Academy of Sciences and mAbs.
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.