Jennifer C. Moïsi
- Microbiology top 1%
- Bacterial Infections and Vaccines 18
- Parasitology top 5%
- Vector-borne infectious diseases 33
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 29
- Respiratory viral infections research 20
- Infectious Diseases top 5%
- Viral Infections and Vectors 27
- Clostridium difficile and Clostridium perfringens research 10
- Health top 5%
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- Mosquito-borne diseases and control 14
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- Vector-Borne Animal Diseases 11
- Co-authors
- Orin S. LevineJ. Anthony G. ScottThomas N. WilliamsEvasius BauniHellen GatakaaMeenakshi RamakrishnanMaria Deloria KnollBenjamin Tsofa
- Cited by
- MicrobiologyParasitologyEpidemiology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Jennifer C. Moïsi
75 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Microbiology 304
- Parasitology 181
- Epidemiology 897
- Infectious Diseases 369
- Health 138
Countries citing papers authored by Jennifer C. Moïsi
This map shows the geographic impact of Jennifer C. Moïsi'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 Jennifer C. Moïsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer C. Moïsi more than expected).
Fields of papers citing papers by Jennifer C. Moïsi
This network shows the impact of papers produced by Jennifer C. Moïsi. 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 Jennifer C. Moïsi. The network helps show where Jennifer C. Moïsi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer C. Moïsi, 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 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 14 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2021 | 6 |
About Jennifer C. Moïsi
Jennifer C. Moïsi is a scholar working on Parasitology, Microbiology and Infectious Diseases, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (33 papers), Pneumonia and Respiratory Infections (29 papers), Viral Infections and Vectors (27 papers), Respiratory viral infections research (20 papers), Bacterial Infections and Vaccines (18 papers), Mosquito-borne diseases and control (14 papers), Vector-Borne Animal Diseases (11 papers) and Clostridium difficile and Clostridium perfringens research (10 papers). The work is most often cited by research in Microbiology (304 citations), Parasitology (181 citations) and Epidemiology (897 citations). Jennifer C. Moïsi has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Orin S. Levine, J. Anthony G. Scott, Thomas N. Williams, Evasius Bauni, Hellen Gatakaa, Meenakshi Ramakrishnan, Maria Deloria Knoll, Benjamin Tsofa, Katherine L. O’Brien and David L. Swerdlow. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.
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.