Marc Lipsitch
Impact in
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies
- Applied Microbiology and Biotechnology top 0.05%
Papers in
-
- COVID-19 epidemiological studies 111
- Co-authors
- Yonatan H. GradEdward GoldsteinBruce R. LevinRichard MalleyTed CohenJacco WallingaWilliam P. HanageStephen M. Kissler
- Journals
- Proceedings of the National Academy of Sciences (26 papers)Clinical Infectious Diseases (19 papers)The Journal of Infectious Diseases (18 papers)American Journal of Epidemiology (18 papers)Epidemiology (16 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Marc Lipsitch
405 papers receiving 36.3k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Modeling and Simulation 8.9k
- Applied Microbiology and Biotechnology 1.7k
- Infectious Diseases 12.4k
- Microbiology 3.8k
- Molecular Medicine 2.5k
Countries citing papers authored by Marc Lipsitch
This map shows the geographic impact of Marc Lipsitch'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 Marc Lipsitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Lipsitch more than expected).
Fields of papers citing papers by Marc Lipsitch
This network shows the impact of papers produced by Marc Lipsitch. 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 Marc Lipsitch. The network helps show where Marc Lipsitch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Lipsitch, 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 | 2025 | 0 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 43 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 3 | |
| 7 | Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period Hit paper breakdown → | 2020 | 1642 |
| 8 | 2020 | 187 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 65 | |
| 13 | 2018 | 33 | |
| 14 | 2018 | 37 | |
| 15 | 2018 | 127 | |
| 16 | 2017 | 93 | |
| 17 | 2017 | 44 | |
| 18 | 2009 | 70 | |
| 19 | How generation intervals shape the relationship between growth rates and reproductive numbers Hit paper breakdown → | 2006 | 813 |
| 20 | 2005 | 270 |
About Marc Lipsitch
Marc Lipsitch is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology, Microbiology, Infectious Diseases and Molecular Medicine, having authored 412 papers that have together received 37.3k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (121 papers), COVID-19 epidemiological studies (111 papers), Influenza Virus Research Studies (106 papers), Respiratory viral infections research (80 papers), Bacterial Infections and Vaccines (64 papers), SARS-CoV-2 and COVID-19 Research (53 papers), Vaccine Coverage and Hesitancy (43 papers) and Antibiotic Resistance in Bacteria (35 papers). The work is most often cited by research in Modeling and Simulation (8.9k citations), Applied Microbiology and Biotechnology (1.7k citations), Infectious Diseases (12.4k citations), Microbiology (3.8k citations) and Molecular Medicine (2.5k citations). Marc Lipsitch has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Yonatan H. Grad, Edward Goldstein, Bruce R. Levin, Richard Malley, Ted Cohen, Jacco Wallinga, William P. Hanage, Stephen M. Kissler, Lyn Finelli and Christine Tedijanto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Infectious Diseases, The Journal of Infectious Diseases, American Journal of Epidemiology and 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.