Nathan Téné

562 citations
25 papers · 426 · h-index 14

Impact in

    • Insect and Pesticide Research
    • Insect Utilization and Effects
    • Antimicrobial Peptides and Activities

Papers in

Nathan Téné

24 papers receiving 424 citations

Peers

Nathan Téné
Comparison fields: 5 of 59
  • Insect Science 207
  • Microbiology 94
  • Drug Discovery 1
  • Biochemistry 31
  • Genetics 141
Replace Shoaib Freed with:
Shoaib Freed Pakistan
Fernand F. Fagutao Japan
Jana Júdová Slovakia
Juan R. Girotti Argentina
Mariangela Coppola Italy
Jie Dong China
Marina Offengenden Canada
Lieselot Vercruysse Belgium
Min Yuan China
Silvia Valdés‐Rodríguez Mexico
Nathan Téné relative to Shoaib Freed Pakistan Shoaib Freed's profile →
Citations per field
00.5×4.4×
Shoaib Freed · 1×
Citations per year

Countries citing papers authored by Nathan Téné

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Téné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nathan Téné, 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 Nathan Téné Line = papers co-authored together Nathan Téné 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 201256
2 201642
3 201933
4 202233
5 201332
6 202032
7 201730
8 201821
9 202118
10 201316
11 201915
12 201315
13 201415
14 201815
15 202211
16 201110
17 202210
18 20236
19 20235
20 20134

About Nathan Téné

Nathan Téné is a scholar working on Insect Science, Genetics, Plant Science, Cellular and Molecular Neuroscience and Microbiology, having authored 25 papers that have together received 426 indexed citations. Recurring topics across this work include Insect and Pesticide Research (11 papers), Insect and Arachnid Ecology and Behavior (9 papers), Neurobiology and Insect Physiology Research (5 papers), Antimicrobial Peptides and Activities (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Phytochemistry and Biological Activities (4 papers), Plant and animal studies (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Insect Science (207 citations), Microbiology (94 citations), Drug Discovery (1 citation), Biochemistry (31 citations) and Genetics (141 citations). Nathan Téné has collaborated with scholars based in France, Tunisia and French Guiana. Frequent co-authors include Michel Treilhou, Elsa Bonnafé, Jérôme Leprince, Aline Rifflet, Axel Touchard, Angélique Vétillard, Laure Guilhaudis, Michel Sauvain, Denis Castillo and Jérôme Orivel. Their work appears in journals such as Molecules, Toxins, Journal of Proteome Research, Peptides and Environmental Science and Pollution Research.

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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