Melisa M. Shah
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Epidemiology
- Modeling and Simulation top 5%
- Health, Toxicology and Mutagenesis
- Co-authors
- A. Desirée LaBeaudErin A. MordecaiJamie M. CaldwellSadie J. RyanCarl M. KirschNatali AzizDavid A. StevensDeborah Cohan
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)Mosquito-borne diseases and control (5 papers)Viral Infections and Vectors (5 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Journals
- Nature CommunicationsClinical Infectious DiseasesAmerican Journal of Obstetrics and Gynecology
- Partner nations
- United StatesKenyaSouth Africa
In The Last Decade
Melisa M. Shah
19 papers receiving 509 citations
Peers
Comparison fields: 5 of 79
- Public Health, Environmental and Occupational Health 304
- Infectious Diseases 275
- Epidemiology 93
- Modeling and Simulation 46
- Health, Toxicology and Mutagenesis 45
Countries citing papers authored by Melisa M. Shah
This map shows the geographic impact of Melisa M. Shah'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 Melisa M. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melisa M. Shah more than expected).
Fields of papers citing papers by Melisa M. Shah
This network shows the impact of papers produced by Melisa M. Shah. 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 Melisa M. Shah. The network helps show where Melisa M. Shah may publish in the future.
Co-authorship network of co-authors of Melisa M. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Melisa M. Shah. A scholar is included among the top collaborators of Melisa M. Shah 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 Melisa M. Shah. Melisa M. Shah 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 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 70 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 38 | |
| 15 | 205 | |
| 16 | 20 | |
| 17 | 44 | |
| 18 | 28 | |
| 19 | 22 |
About Melisa M. Shah
Melisa M. Shah is a scholar working on Infectious Diseases, Modeling and Simulation and Virology, having authored 19 papers that have together received 520 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Mosquito-borne diseases and control (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (275 citations), Public Health, Environmental and Occupational Health (304 citations) and Modeling and Simulation (46 citations). Melisa M. Shah has collaborated with scholars based in United States, Kenya and South Africa. Frequent co-authors include A. Desirée LaBeaud, Erin A. Mordecai, Jamie M. Caldwell, Sadie J. Ryan, Carl M. Kirsch, Natali Aziz, David A. Stevens, Deborah Cohan, Bryson Ndenga and Francis Mutuku. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases and American Journal of Obstetrics and Gynecology.
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.