Léo Pomar
Impact in
- Obstetrics and Gynecology top 0.5%
- COVID-19 Impact on Reproduction
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Impact on Reproduction 24
-
- Global Maternal and Child Health 14
- Prenatal Screening and Diagnostics 7
- Co-authors
- David BaudGuillaume FavreDidier MussoKarin Nielsen‐SainesXiaolong QiAlice PanchaudGilbert GreubCarole Gengler
- Journals
- Viruses (7 papers)Ultrasound in Obstetrics and Gynecology (6 papers)Prenatal Diagnosis (4 papers)International Journal of Environmental Research and Public Health (3 papers)European Journal of Obstetrics & Gynecology and Reproductive Biology (2 papers)
- Partner nations
- SwitzerlandFranceFrench Guiana
In The Last Decade
Léo Pomar
55 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Obstetrics and Gynecology 886
- Modeling and Simulation 313
- Infectious Diseases 769
- Public Health, Environmental and Occupational Health 813
- Health 206
Countries citing papers authored by Léo Pomar
This map shows the geographic impact of Léo Pomar'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 Léo Pomar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léo Pomar more than expected).
Fields of papers citing papers by Léo Pomar
This network shows the impact of papers produced by Léo Pomar. 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 Léo Pomar. The network helps show where Léo Pomar may publish in the future.
Co-authors
The 25 scholars most cited alongside Léo Pomar, 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 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 23 | |
| 15 | 2020 | 63 | |
| 16 | 2020 | 5 | |
| 17 | Real estimates of mortality following COVID-19 infection Hit paper breakdown → | 2020 | 812 |
| 18 | 2020 | 158 | |
| 19 | Vertical transmission and materno-fetal outcomes in 13 patients with COVID-19. | 2020 | 1 |
| 20 | 2018 | 89 |
About Léo Pomar
Léo Pomar is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Infectious Diseases and Modeling and Simulation, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (24 papers), Mosquito-borne diseases and control (17 papers), Global Maternal and Child Health (14 papers), Viral Infections and Vectors (10 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers), Prenatal Screening and Diagnostics (7 papers), COVID-19 and healthcare impacts (7 papers) and Virology and Viral Diseases (6 papers). The work is most often cited by research in Obstetrics and Gynecology (886 citations), Modeling and Simulation (313 citations), Infectious Diseases (769 citations), Public Health, Environmental and Occupational Health (813 citations) and Health (206 citations). Léo Pomar has collaborated with scholars based in Switzerland, France and French Guiana. Frequent co-authors include David Baud, Guillaume Favre, Didier Musso, Karin Nielsen‐Saines, Xiaolong Qi, Alice Panchaud, Gilbert Greub, Carole Gengler, Katia Jaton and Manon Vouga. Their work appears in journals such as Viruses, Ultrasound in Obstetrics and Gynecology, Prenatal Diagnosis, International Journal of Environmental Research and Public Health and European Journal of Obstetrics & Gynecology and Reproductive Biology.
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.