Hannah Clapham

5.0k citations
64 papers · 1.4k · h-index 22

Impact in

Papers in

Hannah Clapham

61 papers receiving 1.4k citations

Peers

Hannah Clapham
Comparison fields: 5 of 118
  • Modeling and Simulation 337
  • Infectious Diseases 756
  • Public Health, Environmental and Occupational Health 922
  • Insect Science 186
  • Health 116
Replace Enny S. Paixão with:
Enny S. Paixão Brazil
Betzana Zambrano Uruguay
Carlos A Castañeda-Orjuela Colombia
Ilaria Dorigatti United Kingdom
Laurent Coudeville France
Luciano Pamplona de Góes Cavalcanti Brazil
José Lourenço United Kingdom
Morgan Hennessey United States
Ross M. Boyce United States
In-Kyu Yoon Thailand
Hannah Clapham relative to Enny S. Paixão Brazil Enny S. Paixão's profile →
Citations per field
00.5×1.5×2.2×
Enny S. Paixão · 1×
Citations per year

Countries citing papers authored by Hannah Clapham

Since Specialization
Citations

This map shows the geographic impact of Hannah Clapham'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 Hannah Clapham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Clapham more than expected).

Fields of papers citing papers by Hannah Clapham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Clapham. 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 Hannah Clapham. The network helps show where Hannah Clapham may publish in the future.

Co-authors

The 25 scholars most cited alongside Hannah Clapham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hannah Clapham Line = papers co-authored together Hannah Clapham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015170
2 2018105
3 2020104
4 201487
5 202057
6 201652
7 201750
8 202048
9 202046
10 201840
11 202039
12 201635
13 201834
14 201632
15 201632
16 201530
17 202429
18 202027
19 201527
20 201826

About Hannah Clapham

Hannah Clapham is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation, Health and Epidemiology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (32 papers), COVID-19 epidemiological studies (24 papers), Malaria Research and Control (17 papers), Viral Infections and Vectors (16 papers), Viral Infections and Outbreaks Research (12 papers), Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Zoonotic diseases and public health (4 papers). The work is most often cited by research in Modeling and Simulation (337 citations), Infectious Diseases (756 citations), Public Health, Environmental and Occupational Health (922 citations), Insect Science (186 citations) and Health (116 citations). Hannah Clapham has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Cameron P. Simmons, Neil M. Ferguson, Derek A. T. Cummings, Bridget Wills, Nguyễn Văn Vĩnh Châu, Quan Minh Tran, Hugo C. Turner, Tran Thi Nhu Thao, Manh-Duy Nguyen and Michael A. Johansson. Their work appears in journals such as PLoS neglected tropical diseases, BMC Infectious Diseases, Vaccine, The Journal of Infectious Diseases and The Lancet Infectious Diseases.

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.

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