Matthew V. X. Whelan

1.5k citations
13 papers · 309 indexed · 1 hit paper · h-index 9

Matthew V. X. Whelan

12 papers receiving 308 citations

Hit Papers

Evolution of enhanced innate immune suppression by SARS-C...34202420262025102030

Peers

Matthew V. X. Whelan
Comparison fields: 5 of 63
  • Infectious Diseases 163
  • Immunology 111
  • Virology 17
  • Endocrinology 15
  • Food Science 39
Replace Veerupaxagouda Patil with:
Veerupaxagouda Patil United States
Matthew A. Getz United States
Namal P. M. Liyanage United States
Xiaodong Zai China
J Knight United States
Guozhi Wang China
Hailey Brown United States
Yong Wei China
Deann T. Snyder United States
Guruswamy Karnam India
Matthew V. X. Whelan relative to Veerupaxagouda Patil United States Veerupaxagouda Patil's profile →
Citations per field
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Veerupaxagouda Patil · 1×
Citations per year

Countries citing papers authored by Matthew V. X. Whelan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew V. X. Whelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew V. X. Whelan. 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 Matthew V. X. Whelan. The network helps show where Matthew V. X. Whelan may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20240
2
Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariantsbreakdown →
202434
3 202326
4 20223
5 202211
6 20228
7 20226
8 202128
9 20218
10 2021145
11 201927
12 20191
13 201612

About Matthew V. X. Whelan

Matthew V. X. Whelan is a scholar working on Endocrinology, Virology and Food Science, having authored 13 papers that have together received 309 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), interferon and immune responses (2 papers), HIV Research and Treatment (2 papers), Vibrio bacteria research studies (2 papers), Inflammasome and immune disorders (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (163 citations), Immunology (111 citations) and Virology (17 citations). Matthew V. X. Whelan has collaborated with scholars based in United Kingdom, Ireland and Japan. Frequent co-authors include Greg J. Towers, Lucy Thorne, Ann‐Kathrin Reuschl, Clare Jolly, Jane Turner, Mahdad Noursadeghi, Lorena Zuliani‐Alvarez, Tadhg Ó Cróinı́n, Jeremy C. Simpson and Paola Bonfanti. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Scientific 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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