H Prudden

544 citations
20 papers · 169 · h-index 9

Impact in

Papers in

H Prudden

19 papers receiving 165 citations

Peers

H Prudden
Comparison fields: 5 of 41
  • Infectious Diseases 87
  • Endocrinology 23
  • Virology 12
  • Epidemiology 38
  • Sociology and Political Science 37
Replace Kavita Misra with:
Kavita Misra United States
Dwiyanti Puspitasari Indonesia
Mary R. Tanner United States
Lorraine Lighton United Kingdom
Gerald Pande Uganda
Mucho Mizinduko Tanzania
Timothy Letsa Ghana
Cheikh Ndour Senegal
Ngashi Ngongo Ethiopia
Sakoba Keïta Guinea
H Prudden relative to Kavita Misra United States Kavita Misra's profile →
Citations per field
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Citations per year

Countries citing papers authored by H Prudden

Since Specialization
Citations

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

Fields of papers citing papers by H Prudden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H Prudden, 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 H Prudden Line = papers co-authored together H Prudden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201321
2 202121
3 201620
4 201719
5 202016
6 202114
7 201510
8 20149
9 20179
10 20148
11 20237
12 20154
13 20143
14 20122
15
The UNAIDS Modes of Transmission model: A useful tool for decision making?
20112
16 20141
17 20231
18
Modelling the potential impact on HIV transmission of a rectal microbicide used by men who have sex with men and the effects of condom substitution
20101
19
Using mathematical modelling to improve our understanding of the HIV prevalence among the 'hidden' population of men who have sex with men (MSM) in southern India: Implications for HIV programming.
20121
20 20130

About H Prudden

H Prudden is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Virology and Economics and Econometrics, having authored 20 papers that have together received 169 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), HIV, Drug Use, Sexual Risk (6 papers), Adolescent Sexual and Reproductive Health (4 papers), HIV Research and Treatment (3 papers), HIV/AIDS Impact and Responses (3 papers), Sex work and related issues (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Infectious Diseases (87 citations), Endocrinology (23 citations), Virology (12 citations), Epidemiology (38 citations) and Sociology and Political Science (37 citations). H Prudden has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Charlotte Watts, Anna M. Foss, Peter Vickerman, Zindoga Mukandavire, Kate M. Mitchell, Natalia Bobrova, Marie‐Claude Boily, Shajy Isac, James Blanchard and Gabriela B. Gomez. Their work appears in journals such as Vaccine, PLoS ONE, Journal of the International AIDS Society, AIDS Research and Human Retroviruses and International Journal of STD & AIDS.

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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