Lee Kennedy‐Shaffer
- Infectious Diseases top 10%
- Modeling and Simulation top 2%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Health
- Co-authors
- Marc LipsitchXueting QiuJames A. HayWilliam P. HanageStacey GabrielSanjat KanjilalNiall J. LennonMichael J. Mina
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 epidemiological studies (9 papers)SARS-CoV-2 detection and testing (7 papers)
- Journals
- ScienceSHILAP Revista de lepidopterologíaAmerican Journal of Epidemiology
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Lee Kennedy‐Shaffer
25 papers receiving 430 citations
Peers
Comparison fields: 5 of 124
- Infectious Diseases 211
- Modeling and Simulation 144
- Epidemiology 59
- Public Health, Environmental and Occupational Health 47
- Health 31
Countries citing papers authored by Lee Kennedy‐Shaffer
This map shows the geographic impact of Lee Kennedy‐Shaffer'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 Lee Kennedy‐Shaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Kennedy‐Shaffer more than expected).
Fields of papers citing papers by Lee Kennedy‐Shaffer
This network shows the impact of papers produced by Lee Kennedy‐Shaffer. 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 Lee Kennedy‐Shaffer. The network helps show where Lee Kennedy‐Shaffer may publish in the future.
Co-authorship network of co-authors of Lee Kennedy‐Shaffer
This figure shows the co-authorship network connecting the top 25 collaborators of Lee Kennedy‐Shaffer. A scholar is included among the top collaborators of Lee Kennedy‐Shaffer 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 Lee Kennedy‐Shaffer. Lee Kennedy‐Shaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 73 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 32 | |
| 16 | 77 | |
| 17 | When the Alpha is the Omega: P-Values, "Substantial Evidence," and the 0.05 Standard at FDA. | 16 |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 4 |
About Lee Kennedy‐Shaffer
Lee Kennedy‐Shaffer is a scholar working on Modeling and Simulation, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 27 papers that have together received 448 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 epidemiological studies (9 papers) and SARS-CoV-2 detection and testing (7 papers). The work is most often cited by research in Modeling and Simulation (144 citations), Infectious Diseases (211 citations) and Statistics and Probability (31 citations). Lee Kennedy‐Shaffer has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Marc Lipsitch, Xueting Qiu, James A. Hay, William P. Hanage, Stacey Gabriel, Sanjat Kanjilal, Niall J. Lennon, Michael J. Mina, Rebecca Kahn and Edward Goldstein. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and American Journal of Epidemiology.
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.