Nancy J. Cox

125.6k citations
559 papers · 53.5k indexed · 25 hit papers · h-index 103

Impact in

Papers in

Nancy J. Cox

546 papers receiving 51.7k citations

Hit Papers

A brief history of human disease genetics 2020 · 349 citations
349199620262006201650010001.5k2.0k2.5k

Peers

Nancy J. Cox
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
Replace George F. Gao with:
George F. Gao China
Anthony S. Fauci United States
Albert D. M. E. Osterhaus Netherlands
Adolfo Garcı́a-Sastre United States
Kwok‐Yung Yuen Hong Kong
Malik Peiris Hong Kong
Jeffery K. Taubenberger United States
Yi Guan Hong Kong
Ron A. M. Fouchier Netherlands
Leo L. M. Poon Hong Kong
Nancy J. Cox relative to George F. Gao China George F. Gao's profile →
Citations per field
00.5×4.2×
George F. Gao · 1×
Citations per year

Countries citing papers authored by Nancy J. Cox

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nancy J. Cox Line = papers co-authored together Nancy J. Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20231
4 20236
5 20232
6 20234
7 202210
8 202121
9 202118
10 202030
11 201920
12 201812
13 201817
14 201763
15 20173
16 201353
17 201249
18 2011104
19
NIH state-of-the-science conference statement: Preventing Alzheimer's disease and cognitive decline.
2010140
20 200829

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.

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