Thomas Bean

1.6k citations
7 papers · 1.3k · 1 hit paper · h-index 7

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Thomas Bean

7 papers receiving 1.2k citations

Thomas Bean's Hit Papers

Cellular immune correlates of protection against symptomatic pandemic influenza 2013 · 731 citations
7310+4+8Years since publication200400600

Peers

Thomas Bean
Comparison fields: 5 of 85
  • Virology 124
  • Infectious Diseases 396
  • Immunology 449
  • Epidemiology 670
  • Agronomy and Crop Science 201
Replace Ana M. Falcón with:
Ana M. Falcón Spain
Rachael S. Wash United Kingdom
Matthew Angel United States
Kimberly B. Hummel United States
Sebastian Giese Germany
Yuichiro Nakatsu Japan
Kevin Ciminski Germany
Tatyana Yun United States
Adriana A. Giri Argentina
R. Joyce Verburgh Netherlands
Thomas Bean relative to Ana M. Falcón Spain Ana M. Falcón's profile →
Citations per field
00.5×2×3.1×
Ana M. Falcón · 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

7 of 7 papers shown
#Work
1
Cellular immune correlates of protection against symptomatic pandemic influenza
Hit paper breakdown →
2013731
2 2004173
3 2021143
4 2013127
5 201442
6 201239
7 199214

About Thomas Bean

Thomas Bean is a scholar working on Immunology, Agronomy and Crop Science, Epidemiology, Virology and Modeling and Simulation, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (2 papers), Animal Disease Management and Epidemiology (2 papers), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), interferon and immune responses (1 paper), Poxvirus research and outbreaks (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Virology (124 citations), Infectious Diseases (396 citations), Immunology (449 citations), Epidemiology (670 citations) and Agronomy and Crop Science (201 citations). Thomas Bean has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include William Barclay, Walt E. Adamson, Alison Bermingham, Jonathan J Deeks, Saranya Sridhar, William F. Carman, Ajit Lalvani, Katja Höschler, John G. Neilan and G. F. Kutish. Their work appears in journals such as Journal of Virology, Nature Communications, PROTEOMICS, Nature Medicine 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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