Gemma Hancock

828 citations
20 papers · 623 · h-index 13

Impact in

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 3
    • HIV Research and Treatment 11

Gemma Hancock

19 papers receiving 611 citations

Peers

Gemma Hancock
Comparison fields: 5 of 54
  • Virology 210
  • Emergency Medicine 226
  • Immunology 200
  • Cardiology and Cardiovascular Medicine 183
  • Infectious Diseases 121
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L Boshkov Canada
Sabine Allard Belgium
Tzong‐Hae Lee United States
Rada Ellegård Sweden
Nickolas Teigen United States
Mohamed Elrefaei United States
Ross A. Pollack United States
María Abad-Fernández Spain
W. Heise Germany
Gabriele Forcina Italy
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Citations per field
00.5×9.8×
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Citations per year

Countries citing papers authored by Gemma Hancock

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013150
2 201683
3 201782
4 201261
5 201537
6 201631
7 201430
8 201828
9 201727
10 201319
11 201918
12 201017
13 198416
14 20238
15 20235
16 20125
17 20134
18
The antiviral inhibitory capacity of CD8+T cells predicts the rate of CD4+cell decline in HIV-1 infection
20121
19 20121
20 20220

About Gemma Hancock

Gemma Hancock is a scholar working on Immunology, Virology, Epidemiology, Molecular Biology and Infectious Diseases, having authored 20 papers that have together received 623 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (5 papers), vaccines and immunoinformatics approaches (4 papers), HIV-related health complications and treatments (3 papers), T-cell and B-cell Immunology (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Virology (210 citations), Emergency Medicine (226 citations), Immunology (200 citations), Cardiology and Cardiovascular Medicine (183 citations) and Infectious Diseases (121 citations). Gemma Hancock has collaborated with scholars based in United Kingdom, Australia and South Africa. Frequent co-authors include Lucy Dorrell, Karin Hellner, Genevieve Clutton, Emma Wainwright, Ntobeko Ntusi, Kieran Clarke, Brian Angus, Stefan Neubauer, Cameron Holloway and Stefan K. Piechnik. Their work appears in journals such as Scientific Reports, Retrovirology, Molecular Therapy, HIV Medicine and Journal of the International AIDS Society.

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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