Flore Mas

554 citations
20 papers · 397 · h-index 12

Impact in

Papers in

Flore Mas

19 papers receiving 389 citations

Peers

Flore Mas
Comparison fields: 5 of 47
  • Insect Science 214
  • Ecology, Evolution, Behavior and Systematics 265
  • Horticulture 9
  • Genetics 193
  • Developmental Biology 9
Replace Takashi Kuriwada with:
Takashi Kuriwada Japan
Randy E. Hunt United States
Felipe Andrés León Contrera Brazil
Paul A. Lenhart United States
Tomas Kay Switzerland
Aldenise Alves Moreira Brazil
James C. Makinson Australia
Maurice Tindo Cameroon
Anne Marie Cortesero France
Dao‐Hong Zhu China
Flore Mas relative to Takashi Kuriwada Japan Takashi Kuriwada's profile →
Citations per field
00.5×1.6×
Takashi Kuriwada · 1×
Citations per year

Countries citing papers authored by Flore Mas

Since Specialization
Citations

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

Fields of papers citing papers by Flore Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Flore Mas, 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 Flore Mas Line = papers co-authored together Flore Mas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200873
2 200960
3 200546
4 201443
5 201025
6 201524
7 201721
8 201820
9 201317
10 201115
11 202014
12 201911
13 20228
14 20245
15 20215
16 20204
17 20193
18 20232
19
Exploiting honey bee learning and foraging behavior for biosecurity
20141
20 20230

About Flore Mas

Flore Mas is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Plant Science and Nature and Landscape Conservation, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Plant and animal studies (12 papers), Insect and Pesticide Research (9 papers), Insect and Arachnid Ecology and Behavior (8 papers), Insect behavior and control techniques (7 papers), Insect Pheromone Research and Control (3 papers), Insect Pest Control Strategies (3 papers), Insect Utilization and Effects (2 papers) and Bee Products Chemical Analysis (2 papers). The work is most often cited by research in Insect Science (214 citations), Ecology, Evolution, Behavior and Systematics (265 citations), Horticulture (9 citations), Genetics (193 citations) and Developmental Biology (9 citations). Flore Mas has collaborated with scholars based in New Zealand, Switzerland and Australia. Frequent co-authors include Mathias Kölliker, D. M. Suckling, Jean‐Marc Jallon, Kenneth F. Haynes, Mathias Kölliker, Jessica Vereijssen, Lee‐Anne Manning, R.C. Butler, David E. Pattemore and Jason M. Tylianakis. Their work appears in journals such as Journal of Chemical Ecology, Journal of Agricultural and Food Chemistry, Behavioral Ecology and Sociobiology, Journal of the Science of Food and Agriculture and Proceedings of the Royal Society B Biological Sciences.

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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