Tom Gallagher

4.9k citations
47 papers · 3.2k · 2 hit papers · h-index 27

Impact in

Papers in

Tom Gallagher

46 papers receiving 3.2k citations

Tom Gallagher's Hit Papers

Rapid generation of a mouse model for Middle East respiratory syndrome 2014 · 347 citations
3470+5+10Years since publication100200300400500

Peers

Tom Gallagher
Comparison fields: 5 of 105
  • Infectious Diseases 2.3k
  • Animal Science and Zoology 956
  • Immunology 357
  • Modeling and Simulation 65
  • Neurology 184
Replace Cheng Huang with:
Cheng Huang United States
Kumari G. Lokugamage United States
Rui Luo China
Yongfei Cai United States
Fumihiro Taguchi Japan
Marjolein Kikkert Netherlands
Katharine H. D. Crawford United States
Fernando Almazán Spain
Hongjie Xia United States
Peter J. Bredenbeek Netherlands
Tom Gallagher relative to Cheng Huang United States Cheng Huang's profile →
Citations per field
00.5×1.5×1.8×
Cheng Huang · 1×
Citations per year

Countries citing papers authored by Tom Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Tom Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Transmembrane Serine Protease Is Linked to the Severe Acute Respiratory Syndrome Coronavirus Receptor and Activates Virus Entry
Hit paper breakdown →
2010516
2
Rapid generation of a mouse model for Middle East respiratory syndrome
Hit paper breakdown →
2014347
3 2012248
4 2016221
5 1991139
6 2017137
7 2017117
8 1988110
9 1992110
10 201497
11 202197
12 198787
13 199084
14 202074
15 201671
16 198664
17 199757
18 201857
19 201756
20 202155

About Tom Gallagher

Tom Gallagher is a scholar working on Infectious Diseases, Animal Science and Zoology, Molecular Biology, Genetics and Immunology, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (31 papers), Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (13 papers), Virus-based gene therapy research (8 papers), COVID-19 Clinical Research Studies (5 papers), Plant Virus Research Studies (5 papers), interferon and immune responses (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Animal Science and Zoology (956 citations), Immunology (357 citations), Modeling and Simulation (65 citations) and Neurology (184 citations). Tom Gallagher has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Stanley Perlman, Taylor Heald‐Sargent, Jincun Zhao, Ana Shulla, Paul B. McCray, Kun Li, Roland R. Rueckert, Gitanjali Subramanya, Michael J. Buchmeier and Enya Qing. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, mBio, Advances in experimental medicine and biology and Nature Communications.

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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