Tom Evans

822 citations
21 papers · 302 · h-index 9

Impact in

    • Tuberculosis Research and Epidemiology
    • Immune responses and vaccinations
    • interferon and immune responses
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses

Papers in

    • Hepatitis B Virus Studies 3
    • Influenza Virus Research Studies 2
    • Mycobacterium research and diagnosis 2
    • Tuberculosis Research and Epidemiology 5
    • SARS-CoV-2 and COVID-19 Research 2

Tom Evans

18 papers receiving 288 citations

Peers

Tom Evans
Comparison fields: 5 of 60
  • Infectious Diseases 168
  • Immunology 137
  • Epidemiology 99
  • Hepatology 14
  • Modeling and Simulation 7
Replace Hannah L. Itell with:
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Tom Evans relative to Hannah L. Itell United States Hannah L. Itell's profile →
Citations per field
00.5×1.5×2.3×
Hannah L. Itell · 1×
Citations per year

Countries citing papers authored by Tom Evans

Since Specialization
Citations

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

Fields of papers citing papers by Tom Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201891
2 201945
3 202026
4 198825
5 201625
6 201523
7 198418
8 202212
9 195911
10 20178
11 20204
12 20164
13 20233
14
New tuberculosis vaccines – modelling the impact of age targeted vaccination in China and implications for vaccine development
20182
15 20182
16 20151
17 20191
18 20151
19 19710
20 20210

About Tom Evans

Tom Evans is a scholar working on Epidemiology, Infectious Diseases, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 21 papers that have together received 302 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Immunotherapy and Immune Responses (5 papers), Hepatitis B Virus Studies (3 papers), Influenza Virus Research Studies (2 papers), Hepatitis C virus research (2 papers), Mycobacterium research and diagnosis (2 papers), Prostate Cancer Treatment and Research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (168 citations), Immunology (137 citations), Epidemiology (99 citations), Hepatology (14 citations) and Modeling and Simulation (7 citations). Tom Evans has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Rebecca C. Harris, Tom Sumner, Vicky Cárdenas, Richard G. White, Chen Chen, Gwenan M. Knight, John D. Jones, Sarah A. Stanley, Chris S. Rae and Thomas W. Dubensky. Their work appears in journals such as Journal of Hepatology, Scientific Reports, International Journal of Surgery, Tuberculosis and Cell Reports.

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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