Nancy Nagy
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Microbiology top 10%
Papers in
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- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 4
- Immune cells in cancer 3
- T-cell and B-cell Immunology 2
- interferon and immune responses 2
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- Glycosylation and Glycoproteins Research 3
- Co-authors
- Clifford V. Harding (11 shared papers)Yanbin Pan (3 shared papers)Peter J. Chefalo (3 shared papers)Zhongwu Guo (3 shared papers)W. Henry Boom (6 shared papers)Supriya Shukla (5 shared papers)Edward T. Richardson (2 shared papers)Roxana E. Rojas (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)European Journal of Immunology (2 papers)Clinical & Experimental Immunology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Nancy Nagy
14 papers receiving 546 citations
Peers
Comparison fields: 5 of 62
- Immunology 211
- Microbiology 55
- Nephrology 43
- Organic Chemistry 146
- Molecular Biology 315
Countries citing papers authored by Nancy Nagy
This map shows the geographic impact of Nancy Nagy'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 Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Nagy more than expected).
Fields of papers citing papers by Nancy Nagy
This network shows the impact of papers produced by Nancy Nagy. 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 Nagy. The network helps show where Nancy Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Nagy, 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 | 2005 | 100 | |
| 2 | 2017 | 84 | |
| 3 | 2006 | 68 | |
| 4 | 2015 | 63 | |
| 5 | 2001 | 55 | |
| 6 | 1999 | 40 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 36 | |
| 9 | 2003 | 31 | |
| 10 | 2001 | 25 | |
| 11 | 2020 | 8 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 1 |
About Nancy Nagy
Nancy Nagy is a scholar working on Immunology, Molecular Biology, Organic Chemistry, Oncology and Infectious Diseases, having authored 14 papers that have together received 553 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers), Glycosylation and Glycoproteins Research (3 papers), Immune cells in cancer (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), T-cell and B-cell Immunology (2 papers), interferon and immune responses (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (211 citations), Microbiology (55 citations), Nephrology (43 citations), Organic Chemistry (146 citations) and Molecular Biology (315 citations). Nancy Nagy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Clifford V. Harding, Yanbin Pan, Peter J. Chefalo, Zhongwu Guo, W. Henry Boom, Supriya Shukla, Edward T. Richardson, Roxana E. Rojas, Scott M. Reba and Clifford V. Harding. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Clinical & Experimental Immunology, Antimicrobial Agents and Chemotherapy and International Journal of Cancer.
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.