Gemma E. Hartley

478 citations
6 papers · 235 · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 1
    • SARS-CoV-2 detection and testing 1
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1

Gemma E. Hartley

6 papers receiving 230 citations

Peers

Gemma E. Hartley
Comparison fields: 5 of 38
  • Infectious Diseases 186
  • Immunology 76
  • Modeling and Simulation 16
  • Neurology 38
  • Animal Science and Zoology 13
Replace Stephanie Stojanovic with:
Stephanie Stojanovic Australia
Ludwig Knabl Austria
Simone Lucchesi Italy
Thomas Tsz-Kan Lau Hong Kong
Pauline Yeung Hong Kong
Rhoda Tano-Menka United States
Patrícia Figueiredo‐Campos Portugal
Sarah A. Bertino United States
Marshall Lammers United States
Wanda Christ Sweden
Gemma E. Hartley relative to Stephanie Stojanovic Australia Stephanie Stojanovic's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gemma E. Hartley

Since Specialization
Citations

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

Fields of papers citing papers by Gemma E. Hartley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Gemma E. Hartley, 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 E. Hartley Line = papers co-authored together Gemma E. Hartley links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2020182
2 202013
3 202311
4 202211
5 202210
6 20248

About Gemma E. Hartley

Gemma E. Hartley is a scholar working on Infectious Diseases, Immunology, Oncology, Health and Organic Chemistry, having authored 6 papers that have together received 235 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (2 papers), COVID-19 Clinical Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), SARS-CoV-2 detection and testing (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Infectious Diseases (186 citations), Immunology (76 citations), Modeling and Simulation (16 citations), Neurology (38 citations) and Animal Science and Zoology (13 citations). Gemma E. Hartley has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Robyn E. O’Hehir, Emily S.J. Edwards, Menno C. van Zelm, P. Mark Hogarth, Heidi E. Drummer, Irene Boo, Nirupama Varese, James McMahon, Pei M. Aui and Anton Y. Peleg. Their work appears in journals such as Biochemical Society Transactions, Science Immunology, Clinical & Translational Immunology, Journal of Clinical Immunology and npj Vaccines.

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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