Matthew Coffey

44 papers receiving 2.1k citations

Matthew Coffey's Hit Papers

Reovirus Therapy of Tumors with Activated Ras Pathway 1998 · 627 citations
6270+9+18Years since publication200400600

Peers

Matthew Coffey
Comparison fields: 5 of 65
  • Genetics 1.6k
  • Biotechnology 409
  • Infectious Diseases 690
  • Oncology 779
  • Animal Science and Zoology 214
Replace Jean‐Simon Diallo with:
Jean‐Simon Diallo Canada
Phonphimon Wongthida United States
Elena A. Kashentseva United States
Konstantin Doronin United States
Guy Ungerechts Germany
Shane Knowles Canada
Nanhai G. Chen United States
Terry Hermiston United States
Jennifer M Paterson Canada
Philippe Erbs France
Matthew Coffey relative to Jean‐Simon Diallo Canada Jean‐Simon Diallo's profile →
Citations per field
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Jean‐Simon Diallo · 1×
Citations per year

Countries citing papers authored by Matthew Coffey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Coffey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reovirus Therapy of Tumors with Activated Ras Pathway
Hit paper breakdown →
1998627
2 2002138
3
Systemic reovirus therapy of metastatic cancer in immune-competent mice.
2003124
4 2009117
5 200999
6 200994
7 200188
8 200886
9 201774
10 201170
11 201558
12 201656
13 201855
14 200954
15 201249
16 201245
17 201441
18 199640
19 202028
20 201423

About Matthew Coffey

Matthew Coffey is a scholar working on Genetics, Biotechnology, Infectious Diseases, Oncology and Molecular Biology, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (37 papers), Cancer Research and Treatments (23 papers), Viral gastroenteritis research and epidemiology (22 papers), CAR-T cell therapy research (8 papers), RNA Interference and Gene Delivery (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), Heat shock proteins research (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Genetics (1.6k citations), Biotechnology (409 citations), Infectious Diseases (690 citations), Oncology (779 citations) and Animal Science and Zoology (214 citations). Matthew Coffey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Patrick W.K. Lee, James E. Strong, Peter Forsyth, Alan Melcher, Richard G. Vile, Kensuke Hirasawa, Kara L. Norman, Sandra Nishikawa, Kevin J. Harrington and Elizabeth J. Ilett. Their work appears in journals such as Journal of Clinical Oncology, Gene Therapy, Journal of Biological Chemistry, Annals of Oncology and Veterinary and Comparative Oncology.

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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