Catherine Blais

35 papers receiving 940 citations

Peers

Catherine Blais
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 692
  • Insect Science 472
  • Genetics 293
  • Biochemistry 63
  • Ecology, Evolution, Behavior and Systematics 168
Replace P. Porcheron with:
P. Porcheron France
Stan L. Smith United States
F. C. Baker United States
Leslie W. Tsai United States
Günter F. Weirich United States
Hans Emmerich Germany
Tim R. Ladd Canada
Annick Maria France
Toshiki Namiki Japan
Fred C. Baker United States
Catherine Blais relative to P. Porcheron France P. Porcheron's profile →
Citations per field
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P. Porcheron · 1×
Citations per year

Countries citing papers authored by Catherine Blais

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Blais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982116
2 2005112
3 197774
4 201266
5 198351
6 198446
7 201445
8 199042
9 198033
10 199332
11 199629
12 198026
13 200226
14 199723
15 201423
16 199021
17 199421
18 201020
19 198919
20 197617

About Catherine Blais

Catherine Blais is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 35 papers that have together received 985 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (26 papers), Insect Utilization and Effects (17 papers), Insect and Arachnid Ecology and Behavior (7 papers), Antioxidant Activity and Oxidative Stress (6 papers), Insect Resistance and Genetics (4 papers), Aquaculture Nutrition and Growth (3 papers), Crustacean biology and ecology (3 papers) and Free Radicals and Antioxidants (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (692 citations), Insect Science (472 citations), Genetics (293 citations), Biochemistry (63 citations) and Ecology, Evolution, Behavior and Systematics (168 citations). Catherine Blais has collaborated with scholars based in France, Germany and United States. Frequent co-authors include René Lafont, Chantal Dauphin‐Villemant, Philippe Beydon, Bernard Mauchamp, Jean-Philippe Parvy, Annick Maria, Fred Bernard, Anna Petryk, James T. Warren and Michael B. O’Connor. Their work appears in journals such as Archives of Insect Biochemistry and Physiology, Journal of Insect Physiology, Insect Biochemistry and Molecular Biology, Tetrahedron and Journal of Chromatography B.

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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