William Bermingham

1.4k citations
12 papers · 645 · 1 hit paper · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 3
    • SARS-CoV-2 detection and testing 2
    • Tuberculosis Research and Epidemiology 1
    • Drug-Induced Adverse Reactions 4

William Bermingham

11 papers receiving 635 citations

William Bermingham's Hit Papers

T cell response to SARS-CoV-2 infection in humans: A systematic review 2021 · 259 citations
2590+1+3Years since publication50100150200250

Peers

William Bermingham
Comparison fields: 5 of 64
  • Infectious Diseases 452
  • Modeling and Simulation 48
  • Obstetrics and Gynecology 33
  • Neurology 61
  • Health 24
Replace Qingqing Lin with:
Qingqing Lin China
Wai Hung Chan Hong Kong
Kelvin Kai Wang To Hong Kong
Mayce Mansour United States
Paavani Atluri United States
Samuel Rigby United Kingdom
Michael K. Klebert United States
David M. Manthei United States
Maaweya E. Hamed Saudi Arabia
Pauliina Rumm Estonia
William Bermingham relative to Qingqing Lin China Qingqing Lin's profile →
Citations per field
00.5×2×3×3.7×
Qingqing Lin · 1×
Citations per year

Countries citing papers authored by William Bermingham

Since Specialization
Citations

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

Fields of papers citing papers by William Bermingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
T cell response to SARS-CoV-2 infection in humans: A systematic review
Hit paper breakdown →
2021259
2 2020234
3 202079
4 202017
5 202016
6 202115
7 202110
8 20238
9 20204
10 20122
11 20231
12 20230

About William Bermingham

William Bermingham is a scholar working on Infectious Diseases, Pharmacology, Toxicology, Epidemiology and Rheumatology, having authored 12 papers that have together received 645 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Drug-Induced Adverse Reactions (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 detection and testing (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Antibiotic Use and Resistance (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (452 citations), Modeling and Simulation (48 citations), Obstetrics and Gynecology (33 citations), Neurology (61 citations) and Health (24 citations). William Bermingham has collaborated with scholars based in United Kingdom, Sri Lanka and Nepal. Frequent co-authors include Danielle Eddy, Sharon J. Peacock, May CI van Schalkwyk, Samuel Rigby, Sarah Williams, Madhumita Shrotri, Sharif Ismail, Gayatri Amirthalingam, John Maher and Paul Kellam. Their work appears in journals such as PLoS ONE, Clinical Chemistry, The International Journal of Tuberculosis and Lung Disease, Frontiers in Immunology and The Journal of Allergy and Clinical Immunology In Practice.

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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