Lawrence C. Madoff
- Epidemiology top 1%
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 1%
- Plant Science top 2%
- Molecular Biology top 10%
- Co-authors
- John S. BrownsteinCheryl J. BriggsDaniel A. HenkMatthew C. FisherSarah J. GurrClark C. FreifeldJ L MichelDennis L. Kasper
- Topics
- Streptococcal Infections and Treatments (44 papers)Neonatal and Maternal Infections (43 papers)Data-Driven Disease Surveillance (23 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Lawrence C. Madoff
109 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Epidemiology 2.4k
- Public Health, Environmental and Occupational Health 2.2k
- Infectious Diseases 1.5k
- Plant Science 1.2k
- Molecular Biology 1.0k
Countries citing papers authored by Lawrence C. Madoff
This map shows the geographic impact of Lawrence C. Madoff'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 Lawrence C. Madoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence C. Madoff more than expected).
Fields of papers citing papers by Lawrence C. Madoff
This network shows the impact of papers produced by Lawrence C. Madoff. 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 Lawrence C. Madoff. The network helps show where Lawrence C. Madoff may publish in the future.
Co-authorship network of co-authors of Lawrence C. Madoff
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence C. Madoff. A scholar is included among the top collaborators of Lawrence C. Madoff 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 Lawrence C. Madoff. Lawrence C. Madoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 43 | |
| 3 | 20 | |
| 4 | 27 | |
| 5 | 134 | |
| 6 | 61 | |
| 7 | Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter. | 3 |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 49 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 54 | |
| 15 | 42 | |
| 16 | 13 | |
| 17 | 20 | |
| 18 | 161 | |
| 19 | 68 | |
| 20 | 10 |
About Lawrence C. Madoff
Lawrence C. Madoff is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology, having authored 112 papers that have together received 7.0k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (44 papers), Neonatal and Maternal Infections (43 papers) and Data-Driven Disease Surveillance (23 papers). The work is most often cited by research in Modeling and Simulation (425 citations), Infectious Diseases (1.5k citations) and Public Health, Environmental and Occupational Health (2.2k citations). Lawrence C. Madoff has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John S. Brownstein, Cheryl J. Briggs, Daniel A. Henk, Matthew C. Fisher, Sarah J. Gurr, Clark C. Freifeld, J L Michel, Dennis L. Kasper, Karen M. Puopolo and David E. Kling. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.