Thomas Hagan

4.5k citations
12 papers · 581 · h-index 8

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immune responses and vaccinations
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Immune Cell Function and Interaction 4
    • interferon and immune responses 2
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • vaccines and immunoinformatics approaches 2
    • Gut microbiota and health 2

Thomas Hagan

12 papers receiving 575 citations

Peers

Thomas Hagan
Comparison fields: 5 of 97
  • Immunology 281
  • Infectious Diseases 138
  • Epidemiology 140
  • Physical and Theoretical Chemistry 33
  • Virology 17
Replace Abigail E. Powell with:
Abigail E. Powell United States
Michael E. D’Angelo Australia
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Björn Hiller Germany
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Citations per field
00.5×4.7×
Abigail E. Powell · 1×
Citations per year

Countries citing papers authored by Thomas Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015211
2 201792
3 201577
4 202248
5 201246
6 198739
7 202225
8 201724
9 20257
10 20246
11 20235
12 20251

About Thomas Hagan

Thomas Hagan is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Surgery and Epidemiology, having authored 12 papers that have together received 581 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), interferon and immune responses (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immunotherapy and Immune Responses (2 papers), Influenza Virus Research Studies (2 papers), vaccines and immunoinformatics approaches (2 papers), T-cell and B-cell Immunology (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Immunology (281 citations), Infectious Diseases (138 citations), Epidemiology (140 citations), Physical and Theoretical Chemistry (33 citations) and Virology (17 citations). Thomas Hagan has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Bali Pulendran, Shankar Subramaniam, Helder I. Nakaya, Shakti Gupta, Denis L. Pilloud, Paul Suppan, Sai Duraisingham, Bonnie B. Blomberg, Shai S. Shen-Orr and Marcin Kwissa. Their work appears in journals such as Cell Reports, Biomaterials, Chemical Physics Letters, Science and Cell Host & Microbe.

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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