Nicholas S. Kelley
- Epidemiology top 1%
- Infectious Diseases top 2%
- Health top 2%
- Immunology top 10%
- Modeling and Simulation top 1%
- Co-authors
- Michael T. OsterholmEdward A. BelongiaAlfred SommerHuong Q. McLeanMaria E. SundaramJennifer P. KingMelissa SimpsonWalter Beyeler
- Topics
- Influenza Virus Research Studies (7 papers)Respiratory viral infections research (6 papers)COVID-19 epidemiological studies (3 papers)
- Partner nations
- United StatesDemocratic Republic of the CongoCanada
In The Last Decade
Nicholas S. Kelley
10 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Epidemiology 1.6k
- Infectious Diseases 598
- Health 379
- Immunology 346
- Modeling and Simulation 303
Countries citing papers authored by Nicholas S. Kelley
This map shows the geographic impact of Nicholas S. Kelley'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 Nicholas S. Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas S. Kelley more than expected).
Fields of papers citing papers by Nicholas S. Kelley
This network shows the impact of papers produced by Nicholas S. Kelley. 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 Nicholas S. Kelley. The network helps show where Nicholas S. Kelley may publish in the future.
Co-authorship network of co-authors of Nicholas S. Kelley
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas S. Kelley. A scholar is included among the top collaborators of Nicholas S. Kelley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas S. Kelley. Nicholas S. Kelley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Variable influenza vaccine effectiveness by subtype: a systematic review and meta-analysis of test-negative design studiesbreakdown → | 481 |
| 2 | 1 | |
| 3 | 64 | |
| 4 | 168 | |
| 5 | 30 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | Effi cacy and eff ectiveness of infl uenza vaccines: a systematic review and meta-analysis | 3 |
| 9 | Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysisbreakdown → | 1356 |
| 10 | Pandemic Influenza, Electricity, and the Coal Supply Chain Addressing Crucial Preparedness Gaps in the United States | 5 |
About Nicholas S. Kelley
Nicholas S. Kelley is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Epidemiology, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (6 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Modeling and Simulation (303 citations), Epidemiology (1.6k citations) and Health (379 citations). Nicholas S. Kelley has collaborated with scholars based in United States, Democratic Republic of the Congo and Canada. Frequent co-authors include Michael T. Osterholm, Edward A. Belongia, Alfred Sommer, Huong Q. McLean, Maria E. Sundaram, Jennifer P. King, Melissa Simpson, Walter Beyeler, Kristine A. Moore and Lisa M. Brosseau. Their work appears in journals such as JAMA, The Lancet Infectious Diseases and mBio.
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.