P. Évrard

30 papers receiving 452 citations

Peers

P. Évrard
Comparison fields: 5 of 97
  • Horticulture 28
  • Developmental Neuroscience 55
  • Animal Science and Zoology 60
  • Food Science 89
  • Pharmacology 63
Replace Masayoshi Sugawara with:
Masayoshi Sugawara Japan
Yongyan Zhang China
Maziar Mohammad Akhavan Iran
Keikichi Sugiyama Japan
Vishal Chanana United States
Jarmila Veselá Slovakia
Jin Cheng China
Yumei Zhao China
Eduardo Penna Italy
P. Évrard relative to Masayoshi Sugawara Japan Masayoshi Sugawara's profile →
Citations per field
00.5×9.3×
Masayoshi Sugawara · 1×
Citations per year

Countries citing papers authored by P. Évrard

Since Specialization
Citations

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

Fields of papers citing papers by P. Évrard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Évrard, 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 P. Évrard Line = papers co-authored together P. Évrard 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 198959
2 199554
3 199644
4 199041
5 201639
6 201334
7 199827
8 199625
9 199716
10 198616
11 198814
12 199813
13 198013
14 200811
15
Ethanol-induced disturbances of gliogenesis and neuronogenesis in the developing murine brain
199210
16 19897
17 20127
18 20046
19 20024
20 19884

About P. Évrard

P. Évrard is a scholar working on Food Science, Molecular Biology, Physiology, Animal Science and Zoology and Neurology, having authored 33 papers that have together received 469 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (4 papers), Yeasts and Rust Fungi Studies (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Genetic and phenotypic traits in livestock (2 papers), Meat and Animal Product Quality (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Metabolism and Genetic Disorders (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Horticulture (28 citations), Developmental Neuroscience (55 citations), Animal Science and Zoology (60 citations), Food Science (89 citations) and Pharmacology (63 citations). P. Évrard has collaborated with scholars based in Belgium, France and Cuba. Frequent co-authors include Roger K. Verbeeck, Guy Maghuin‐Rogister, Jean‐François Gadisseux, Jean‐Paul Misson, V. S. Caviness, Heide‐Marie Daniel, Christian Van Eenaeme, Louis Istasse, Pierre Gressèns and Jean Cumps. Their work appears in journals such as Journal of Animal Science, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Pharmaceutical Research, Pediatric Research and Neuroradiology.

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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