Daniel Moynet

31 papers receiving 932 citations

Peers

Daniel Moynet
Comparison fields: 5 of 116
  • Biochemistry 99
  • Microbiology 11
  • Parasitology 78
  • Immunology 182
  • Public Health, Environmental and Occupational Health 195
Replace Pavel Boštík with:
Pavel Boštík Czechia
Supachok Sinchaikul Taiwan
Yuko Sato Japan
Pompei Bolfă Romania
L. J. Filippich Australia
Yasuyuki Asai Japan
Guo‐Yu Yang China
Mingyuan Liu China
Weixin Chen China
John J. Docherty United States
Daniel Moynet relative to Pavel Boštík Czechia Pavel Boštík's profile →
Citations per field
00.5×5.5×
Pavel Boštík · 1×
Citations per year

Countries citing papers authored by Daniel Moynet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Moynet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006168
2 2002117
3 2009102
4 200665
5 201364
6 200856
7 200143
8 200341
9 201139
10 201730
11 199527
12 200924
13 201620
14 200918
15 200918
16 200314
17 201314
18 199913
19 201011
20 199910

About Daniel Moynet

Daniel Moynet is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science, having authored 31 papers that have together received 956 indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (5 papers), Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (5 papers), T-cell and Retrovirus Studies (5 papers), Bacteriophages and microbial interactions (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Immune Cell Function and Interaction (3 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Biochemistry (99 citations), Microbiology (11 citations), Parasitology (78 citations), Immunology (182 citations) and Public Health, Environmental and Occupational Health (195 citations). Daniel Moynet has collaborated with scholars based in France, United States and Belize. Frequent co-authors include M. Djavad Mossalayi, Jérôme Rambert, Denis Malvy, Maria Mamani‐Matsuda, Denis Thiolat, Sylvie Daulouède, Philippe Vincendeau, Tina Kauss, Alain P. Gobert and Fawaz Fawaz. Their work appears in journals such as Virology, Sensors and Actuators B Chemical, Biochemical Pharmacology, BMC Infectious Diseases and PLoS ONE.

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.

Explore authors with similar magnitude of impact