Marc Lipsitch
Impact in
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies
- Applied Microbiology and Biotechnology top 0.05%
Papers in
- Epidemiology 206
- Pneumonia and Respiratory Infections 112
- Influenza Virus Research Studies 80
- Respiratory viral infections research 51
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- SARS-CoV-2 and COVID-19 Research 51
- Co-authors
- Yonatan H. Grad (37 shared papers)Edward Goldstein (42 shared papers)Bruce R. Levin (13 shared papers)Richard Malley (25 shared papers)Ted Cohen (12 shared papers)Jacco Wallinga (12 shared papers)William P. Hanage (46 shared papers)Stephen M. Kissler (7 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (26 papers)Clinical Infectious Diseases (19 papers)American Journal of Epidemiology (18 papers)The Journal of Infectious Diseases (18 papers)Epidemiology (17 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Marc Lipsitch
407 papers receiving 36.9k citations
Marc Lipsitch's Hit Papers
Peers
Comparison fields: 5 of 215
- Modeling and Simulation 7.4k
- Applied Microbiology and Biotechnology 1.4k
- Infectious Diseases 10.4k
- Microbiology 3.1k
- Molecular Medicine 2.2k
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-authors
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
Showing the 20 most-cited of 414 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period Hit paper breakdown → | 2020 | 1661 |
| 2 | BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting Hit paper breakdown → | 2021 | 1646 |
| 3 | Transmission Dynamics and Control of Severe Acute Respiratory Syndrome Hit paper breakdown → | 2003 | 1009 |
| 4 | Negative Controls Hit paper breakdown → | 2010 | 994 |
| 5 | How generation intervals shape the relationship between growth rates and reproductive numbers Hit paper breakdown → | 2006 | 829 |
| 6 | Covid-19 Breakthrough Infections in Vaccinated Health Care Workers Hit paper breakdown → | 2021 | 828 |
| 7 | Defining the Epidemiology of Covid-19 — Studies Needed Hit paper breakdown → | 2020 | 786 |
| 8 | Serotype replacement in disease after pneumococcal vaccination Hit paper breakdown → | 2011 | 725 |
| 9 | Safety of the BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Setting Hit paper breakdown → | 2021 | 686 |
| 10 | Transmissibility of 1918 pandemic influenza Hit paper breakdown → | 2004 | 597 |
| 11 | Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study Hit paper breakdown → | 2021 | 562 |
| 12 | Recognition of pneumolysin by Toll-like receptor 4 confers resistance to pneumococcal infection Hit paper breakdown → | 2003 | 537 |
| 13 | Model-informed COVID-19 vaccine prioritization strategies by age and serostatus Hit paper breakdown → | 2021 | 497 |
| 14 | Public health interventions and epidemic intensity during the 1918 influenza pandemic Hit paper breakdown → | 2007 | 493 |
| 15 | Absolute Humidity and the Seasonal Onset of Influenza in the Continental United States Hit paper breakdown → | 2010 | 468 |
| 16 | Antibiotics in agriculture and the risk to human health: how worried should we be? Hit paper breakdown → | 2014 | 446 |
| 17 | 2008 | 383 | |
| 18 | 2002 | 371 | |
| 19 | 1997 | 357 | |
| 20 | 2011 | 328 |
About Marc Lipsitch
Marc Lipsitch is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Microbiology and Public Health, Environmental and Occupational Health, having authored 414 papers that have together received 37.8k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (112 papers), COVID-19 epidemiological studies (84 papers), Influenza Virus Research Studies (80 papers), Bacterial Infections and Vaccines (54 papers), Respiratory viral infections research (51 papers), SARS-CoV-2 and COVID-19 Research (51 papers), Vaccine Coverage and Hesitancy (35 papers) and Antibiotic Resistance in Bacteria (34 papers). The work is most often cited by research in Modeling and Simulation (7.4k citations), Applied Microbiology and Biotechnology (1.4k citations), Infectious Diseases (10.4k citations), Microbiology (3.1k citations) and Molecular Medicine (2.2k 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, American Journal of Epidemiology, The Journal of Infectious Diseases 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.