M. Denyer

32 papers receiving 1.3k citations

Peers

M. Denyer
Comparison fields: 5 of 76
  • Agronomy and Crop Science 767
  • Ecology, Evolution, Behavior and Systematics 470
  • Cardiology and Cardiovascular Medicine 403
  • Immunology 365
  • Animal Science and Zoology 182
Replace Elena G. Sánchez with:
Elena G. Sánchez Spain
Felix N. Toka Poland
Jacqueline Lecomte Canada
K. M. Cowan United States
Carole Balmelli Switzerland
Sylva M. Riblet United States
Patricia Zamorano Argentina
Tobias J. Tuthill United Kingdom
Takehiro Kokuho Japan
Yeun‐Kyung Shin South Korea
M. Denyer relative to Elena G. Sánchez Spain Elena G. Sánchez's profile →
Citations per field
00.5×2×2.6×
Elena G. Sánchez · 1×
Citations per year

Countries citing papers authored by M. Denyer

Since Specialization
Citations

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

Fields of papers citing papers by M. Denyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000257
2 2005202
3 2012137
4
Inhibition of T and B lymphocyte proliferation by rapamycin.
1991121
5 2005101
6 2006101
7 198495
8 200250
9 200645
10 198130
11 200828
12 199927
13 200624
14 198223
15 198221
16 201019
17 199815
18 199812
19
Characterization of long-term cultured bovine CD4-positive and CD8-positive T-cell lines and clones.
199011
20 19969

About M. Denyer

M. Denyer is a scholar working on Agronomy and Crop Science, Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (17 papers), Viral Infections and Immunology Research (7 papers), Vector-Borne Animal Diseases (6 papers), T-cell and Retrovirus Studies (6 papers), T-cell and B-cell Immunology (5 papers), Animal Virus Infections Studies (5 papers), Influenza Virus Research Studies (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Agronomy and Crop Science (767 citations), Ecology, Evolution, Behavior and Systematics (470 citations), Cardiology and Cardiovascular Medicine (403 citations), Immunology (365 citations) and Animal Science and Zoology (182 citations). M. Denyer has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include H. Takamatsu, R. M. E. Parkhouse, Thomas Wileman, R. Burrows, Catrina Stirling, Christopher Oura, Terry Jackson, Wendy Blakemore, Andrew M. Q. King and Dean Sheppard. Their work appears in journals such as Veterinary Immunology and Immunopathology, Journal of Virology, Veterinary Record, Virus Research and Journal of General Virology.

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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