Thomas Bean

1.6k citations
6 papers · 1000 · 1 hit paper · h-index 6

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
  • Virology top 5%

Papers in

    • Influenza Virus Research Studies 3
    • Respiratory viral infections research 2
    • interferon and immune responses 1
    • T-cell and B-cell Immunology 1

Thomas Bean

6 papers receiving 968 citations

Thomas Bean's Hit Papers

Cellular immune correlates of protection against symptomatic pandemic influenza 2013 · 643 citations
6430+4+8Years since publication200400600

Peers

Thomas Bean
Comparison fields: 5 of 71
  • Immunology 461
  • Virology 102
  • Agronomy and Crop Science 197
  • Epidemiology 612
  • Infectious Diseases 268
Replace Minoru Kidokoro with:
Minoru Kidokoro Japan
Ana Falcón Spain
Qinshan Gao United States
Sandra Diederich Germany
Liz Medcalf United Kingdom
Jayati Mullick India
Tatyana Yun United States
Xiǎolì Chī United States
Juan Ayllón United States
Shuzo Urata Japan
Thomas Bean relative to Minoru Kidokoro Japan Minoru Kidokoro's profile →
Citations per field
00.5×3.0×
Minoru Kidokoro · 1×
Citations per year

Countries citing papers authored by Thomas Bean

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Cellular immune correlates of protection against symptomatic pandemic influenza
Hit paper breakdown →
2013643
2 2004160
3 2013103
4 201240
5 201439
6 199215

About Thomas Bean

Thomas Bean is a scholar working on Epidemiology, Immunology, Agronomy and Crop Science, Molecular Biology and Virology, having authored 6 papers that have together received 1000 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Animal Disease Management and Epidemiology (2 papers), Respiratory viral infections research (2 papers), Technology Assessment and Management (1 paper), interferon and immune responses (1 paper), Bacillus and Francisella bacterial research (1 paper), Innovation Policy and R&D (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (461 citations), Virology (102 citations), Agronomy and Crop Science (197 citations), Epidemiology (612 citations) and Infectious Diseases (268 citations). Thomas Bean has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include William Barclay, William F. Carman, Katja Höschler, Ajit Lalvani, Alison Bermingham, Walt E. Adamson, Jonathan J Deeks, Saranya Sridhar, M E Piccone and Corey A. Balinsky. Their work appears in journals such as Journal of Virology, Nature Medicine, PROTEOMICS, PLoS ONE and Research-Technology Management.

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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