Nancy J. Cox
Impact in
- Epidemiology top 0.01%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Agronomy and Crop Science top 0.01%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 221
- Influenza Virus Research Studies 204
- Respiratory viral infections research 111
-
- Animal Disease Management and Epidemiology 64
- Co-authors
- Keiji FukudaCarolyn B. BridgesR. Stephanie HuangKanta SubbaraoPaul GeeleherDavid K. ShayJacqueline M. KatzEric R. Gamazon
- Journals
- The American Journal of Human Genetics (30 papers)Diabetes (27 papers)The Journal of Infectious Diseases (21 papers)Vaccine (16 papers)Virology (15 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Nancy J. Cox
546 papers receiving 51.7k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Epidemiology 28.7k
- Agronomy and Crop Science 7.1k
- Modeling and Simulation 2.8k
- Infectious Diseases 9.8k
- Genetics 8.7k
Countries citing papers authored by Nancy J. Cox
This map shows the geographic impact of Nancy J. Cox'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 J. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy J. Cox more than expected).
Fields of papers citing papers by Nancy J. Cox
This network shows the impact of papers produced by Nancy J. Cox. 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 J. Cox. The network helps show where Nancy J. Cox may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nancy J. Cox, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 30 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 12 | |
| 13 | 2018 | 17 | |
| 14 | 2017 | 63 | |
| 15 | 2017 | 3 | |
| 16 | 2013 | 53 | |
| 17 | 2012 | 49 | |
| 18 | 2011 | 104 | |
| 19 | NIH state-of-the-science conference statement: Preventing Alzheimer's disease and cognitive decline. | 2010 | 140 |
| 20 | 2008 | 29 |
About Nancy J. Cox
Nancy J. Cox is a scholar working on Epidemiology, Agronomy and Crop Science, Genetics, Infectious Diseases and Molecular Biology, having authored 559 papers that have together received 53.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (204 papers), Respiratory viral infections research (111 papers), Genetic Associations and Epidemiology (100 papers), Animal Disease Management and Epidemiology (64 papers), Viral gastroenteritis research and epidemiology (36 papers), Bioinformatics and Genomic Networks (33 papers), Genetic Mapping and Diversity in Plants and Animals (32 papers) and RNA and protein synthesis mechanisms (28 papers). The work is most often cited by research in Epidemiology (28.7k citations), Agronomy and Crop Science (7.1k citations), Modeling and Simulation (2.8k citations), Infectious Diseases (9.8k citations) and Genetics (8.7k citations). Nancy J. Cox has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Keiji Fukuda, Carolyn B. Bridges, R. Stephanie Huang, Kanta Subbarao, Paul Geeleher, David K. Shay, Jacqueline M. Katz, Eric R. Gamazon, W. Thompson and Alexander Klimov. Their work appears in journals such as The American Journal of Human Genetics, Diabetes, The Journal of Infectious Diseases, Vaccine and Virology.
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.