D. Ménard

25 papers receiving 989 citations

Peers

D. Ménard
Comparison fields: 5 of 98
  • Health, Toxicology and Mutagenesis 265
  • Pollution 144
  • Infectious Diseases 179
  • Clinical Biochemistry 66
  • Hepatology 67
Replace Katja J. Teerds with:
Katja J. Teerds Netherlands
Xiang‐Shun Cui South Korea
J. Larry Renfro United States
Patrizia Lo Cascio Italy
Knut-Jan Andersen Norway
Jack D. Thrasher United States
Seiji Kanda Japan
Yuanyuan Li China
Takashi Makita Japan
D. Ménard relative to Katja J. Teerds Netherlands Katja J. Teerds's profile →
Citations per field
00.5×10×14.9×
Katja J. Teerds · 1×
Citations per year

Countries citing papers authored by D. Ménard

Since Specialization
Citations

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

Fields of papers citing papers by D. Ménard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992311
2 1994163
3 2004136
4 201065
5 201362
6 199244
7 200837
8 201631
9 201423
10 199621
11 200121
12 201620
13 199419
14 199219
15 201116
16 20108
17 19956
18 20206
19 19946
20
A new technique for rapid titration of adenovirus 5 infectious particles.
19665

About D. Ménard

D. Ménard is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Infectious Diseases, Genetics and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Toxic Organic Pollutants Impact (4 papers), Virus-based gene therapy research (4 papers), Receptor Mechanisms and Signaling (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Viral Infections and Immunology Research (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (265 citations), Pollution (144 citations), Infectious Diseases (179 citations), Clinical Biochemistry (66 citations) and Hepatology (67 citations). D. Ménard has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include M. Pommepuy, F. Le Guyader, Éric Dubois, David H. Miller, D. A. S. Compston, H. Kellar-Wood, C J Mumford, A E Harding, Mary G. Sweeney and W. I. McDonald. Their work appears in journals such as Annals of the New York Academy of Sciences, Aquatic Toxicology, Environmental Science and Pollution Research, Water Science & Technology and Veterinary Immunology and Immunopathology.

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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