Esther Hamblion
- Infectious Diseases top 5%
- Epidemiology
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health
- Information Systems top 10%
- Co-authors
- Bénido ImpoumaJugnoo S. RahiAnthony T. MooreGeorge Sie WilliamsFranck MboussouTolbert NyenswahIbrahim AbubakarLaura Anderson
- Topics
- Viral Infections and Outbreaks Research (14 papers)COVID-19 epidemiological studies (9 papers)Tuberculosis Research and Epidemiology (5 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- Republic of the CongoUnited KingdomLiberia
In The Last Decade
Esther Hamblion
26 papers receiving 543 citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 318
- Epidemiology 212
- Modeling and Simulation 150
- Public Health, Environmental and Occupational Health 83
- Information Systems 53
Countries citing papers authored by Esther Hamblion
This map shows the geographic impact of Esther Hamblion'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 Esther Hamblion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esther Hamblion more than expected).
Fields of papers citing papers by Esther Hamblion
This network shows the impact of papers produced by Esther Hamblion. 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 Esther Hamblion. The network helps show where Esther Hamblion may publish in the future.
Co-authorship network of co-authors of Esther Hamblion
This figure shows the co-authorship network connecting the top 25 collaborators of Esther Hamblion. A scholar is included among the top collaborators of Esther Hamblion 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 Esther Hamblion. Esther Hamblion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 27 | |
| 4 | 24 | |
| 5 | 21 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 67 | |
| 12 | 7 | |
| 13 | 31 | |
| 14 | 38 | |
| 15 | 23 | |
| 16 | 23 | |
| 17 | 15 | |
| 18 | 44 | |
| 19 | 4 | |
| 20 | 20 |
About Esther Hamblion
Esther Hamblion is a scholar working on Modeling and Simulation, Infectious Diseases and Endocrinology, having authored 28 papers that have together received 553 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (14 papers), COVID-19 epidemiological studies (9 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Modeling and Simulation (150 citations), Infectious Diseases (318 citations) and Emergency Medical Services (51 citations). Esther Hamblion has collaborated with scholars based in Republic of the Congo, United Kingdom and Liberia. Frequent co-authors include Bénido Impouma, Jugnoo S. Rahi, Anthony T. Moore, George Sie Williams, Franck Mboussou, Tolbert Nyenswah, Ibrahim Abubakar, Laura Anderson, Maeve K. Lalor and Alex Gasasira. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología 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.