Jane Hampton

459 citations
8 papers · 361 indexed · h-index 7

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV Research and Treatment 4
    • HIV/AIDS drug development and treatment 5
    • HIV/AIDS Research and Interventions 5

Jane Hampton

8 papers receiving 356 citations

Peers

Jane Hampton
Comparison fields: 5 of 51
  • Virology 260
  • Infectious Diseases 326
  • Emergency Medicine 16
  • General Health Professions 41
  • Epidemiology 51
Replace Amesika N. Nyaku with:
Amesika N. Nyaku United States
Elliot Raizes United States
Tamara Flys United States
Gabrièle Laborde-Balen France
L. H. DUNNING South Africa
Joshua Kayiwa Uganda
Holly Rawizza United States
Htun Nyunt Oo Myanmar
Ronnie Kasirye Uganda
Jolanda Pelgrom Belgium
Jane Hampton relative to Amesika N. Nyaku United States Amesika N. Nyaku's profile →
Citations per field
00.5×10×13.5×
Amesika N. Nyaku · 1×
Citations per year

Countries citing papers authored by Jane Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Jane Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008193
2 201267
3 201340
4 201429
5 201113
6 201411
7 20216
8 20192

About Jane Hampton

Jane Hampton is a scholar working on Virology, Infectious Diseases, Complementary and alternative medicine, Emergency Medicine and Genetics, having authored 8 papers that have together received 361 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), HIV/AIDS Research and Interventions (5 papers), HIV Research and Treatment (4 papers), Mental Health and Psychiatry (1 paper), HIV, Drug Use, Sexual Risk (1 paper), Complementary and Alternative Medicine Studies (1 paper), HIV-related health complications and treatments (1 paper) and HIV/AIDS Impact and Responses (1 paper). The work is most often cited by research in Virology (260 citations), Infectious Diseases (326 citations), Emergency Medicine (16 citations), General Health Professions (41 citations) and Epidemiology (51 citations). Jane Hampton has collaborated with scholars based in United States, South Africa and Uganda. Frequent co-authors include Vincent C. Marconi, Henry Sunpath, Michelle Gordon, Daniel R. Kuritzkes, Janet Giddy, Helga Holst, Stephen M. Carpenter, Bruce D. Walker, Douglas S. Ross and Zhigang Lu. Their work appears in journals such as Clinical Infectious Diseases, AIDS, AIDS Patient Care and STDs, Global Public Health and AIDS and Behavior.

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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