Jenny Momoh
- General Health Professions top 10%
- Pediatrics, Perinatology and Child Health
- Public Health, Environmental and Occupational Health
- Finance top 10%
- Economics and Econometrics
- Co-authors
- Thomas BarberaFrancisco MbofanaSimon D. Taylor‐RobinsonRoger J. WilliamsObinna Ositadimma OleribeBenjamin UzochukwuRobert WilliamsAdebowale I. Adebiyi
- Topics
- Global Maternal and Child Health (2 papers)COVID-19 epidemiological studies (2 papers)Vaccine Coverage and Hesitancy (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaVaccineInternational Journal of General Medicine
- Partner nations
- NigeriaSwitzerlandUnited States
In The Last Decade
Jenny Momoh
4 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- General Health Professions 90
- Pediatrics, Perinatology and Child Health 80
- Public Health, Environmental and Occupational Health 56
- Finance 51
- Economics and Econometrics 50
Countries citing papers authored by Jenny Momoh
This map shows the geographic impact of Jenny Momoh'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 Jenny Momoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny Momoh more than expected).
Fields of papers citing papers by Jenny Momoh
This network shows the impact of papers produced by Jenny Momoh. 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 Jenny Momoh. The network helps show where Jenny Momoh may publish in the future.
Co-authorship network of co-authors of Jenny Momoh
This figure shows the co-authorship network connecting the top 25 collaborators of Jenny Momoh. A scholar is included among the top collaborators of Jenny Momoh 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 Jenny Momoh. Jenny Momoh 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 | 2 | |
| 3 | Identifying Key Challenges Facing Healthcare Systems In Africa And Potential Solutions | 30 |
| 4 | <p>Identifying Key Challenges Facing Healthcare Systems In Africa And Potential Solutions</p>breakdown → | 319 |
About Jenny Momoh
Jenny Momoh is a scholar working on Modeling and Simulation, Health and Pediatrics, Perinatology and Child Health, having authored 4 papers that have together received 352 indexed citations. Recurring topics across this work include Global Maternal and Child Health (2 papers), COVID-19 epidemiological studies (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Health Informatics (9 citations), Modeling and Simulation (30 citations) and Finance (51 citations). Jenny Momoh has collaborated with scholars based in Nigeria, Switzerland and United States. Frequent co-authors include Thomas Barbera, Francisco Mbofana, Simon D. Taylor‐Robinson, Roger J. Williams, Obinna Ositadimma Oleribe, Benjamin Uzochukwu, Robert Williams, Adebowale I. Adebiyi, Balcha Masresha and Rahul Pradhan. Their work appears in journals such as SHILAP Revista de lepidopterología, Vaccine and International Journal of General Medicine.
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.