Marc Fischer
- Public Health, Environmental and Occupational Health top 0.1%
- Infectious Diseases top 0.2%
- Epidemiology top 1%
- Modeling and Simulation top 0.5%
- Molecular Biology
- Co-authors
- Susan L. HillsJ. Erin StaplesAnn M. PowersRobert S. LanciottiBrad J. BiggerstaffAmanda J. PanellaOlga KosoyJaneen Laven
- Topics
- Mosquito-borne diseases and control (53 papers)Viral Infections and Vectors (44 papers)COVID-19 epidemiological studies (9 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- United StatesLuxembourgBelgium
In The Last Decade
Marc Fischer
80 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Public Health, Environmental and Occupational Health 5.0k
- Infectious Diseases 4.2k
- Epidemiology 1.7k
- Modeling and Simulation 666
- Molecular Biology 505
Countries citing papers authored by Marc Fischer
This map shows the geographic impact of Marc Fischer'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 Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Fischer more than expected).
Fields of papers citing papers by Marc Fischer
This network shows the impact of papers produced by Marc Fischer. 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 Fischer. The network helps show where Marc Fischer may publish in the future.
Co-authorship network of co-authors of Marc Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Fischer. A scholar is included among the top collaborators of Marc Fischer 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 Marc Fischer. Marc Fischer 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 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 15 | |
| 7 | 50 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 28 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | Estimated global incidence of Japanese encephalitis:breakdown → | 735 |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 44 | |
| 20 | 43 |
About Marc Fischer
Marc Fischer is a scholar working on Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 80 papers that have together received 6.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (53 papers), Viral Infections and Vectors (44 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Infectious Diseases (4.2k citations), Public Health, Environmental and Occupational Health (5.0k citations) and Modeling and Simulation (666 citations). Marc Fischer has collaborated with scholars based in United States, Luxembourg and Belgium. Frequent co-authors include Susan L. Hills, J. Erin Staples, Ann M. Powers, Robert S. Lanciotti, Brad J. Biggerstaff, Amanda J. Panella, Olga Kosoy, Janeen Laven, Amy J. Lambert and Tai-Ho Chen. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.
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.