Fabien Plisson

1.0k citations
26 papers · 723 indexed · h-index 16

Impact in

Papers in

Fabien Plisson

26 papers receiving 712 citations

Peers

Fabien Plisson
Comparison fields: 5 of 102
  • Microbiology 130
  • Biotechnology 95
  • Computational Theory and Mathematics 124
  • Pharmacology 123
  • Molecular Biology 397
Replace Ngoc B. Pham with:
Ngoc B. Pham Australia
Christopher F. Stratton United States
Ole A. Andersen United Kingdom
Chetna Tyagi India
Amgad Albohy Egypt
Youchao Deng China
Jongkeun Choi South Korea
Giovanni Grazioso Italy
Daigo Inoyama United States
Kaikai Gong China
Fabien Plisson relative to Ngoc B. Pham Australia Ngoc B. Pham's profile →
Citations per field
00.5×5.9×
Ngoc B. Pham · 1×
Citations per year

Countries citing papers authored by Fabien Plisson

Since Specialization
Citations

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

Fields of papers citing papers by Fabien Plisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 202098
3 201264
4 202244
5 201644
6 201240
7 201940
8 201431
9 202227
10 202025
11 201224
12 202221
13 201620
14 202117
15 202317
16 201115
17 201114
18 201614
19 202412
20 20236

About Fabien Plisson

Fabien Plisson is a scholar working on Microbiology, Biotechnology, Molecular Biology, Computational Theory and Mathematics and Organic Chemistry, having authored 26 papers that have together received 723 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (9 papers), Chemical Synthesis and Analysis (7 papers), Biochemical and Structural Characterization (5 papers), vaccines and immunoinformatics approaches (4 papers), Marine Sponges and Natural Products (4 papers), Computational Drug Discovery Methods (3 papers), Natural product bioactivities and synthesis (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Microbiology (130 citations), Biotechnology (95 citations), Computational Theory and Mathematics (124 citations), Pharmacology (123 citations) and Molecular Biology (397 citations). Fabien Plisson has collaborated with scholars based in Mexico, Australia and United States. Frequent co-authors include José L. Medina‐Franco, Fernanda I. Saldívar‐González, Zeinab G. Khalil, Robert J. Capon, Andrew M. Piggott, Xiao‐Cong Huang, Hua Zhang, Melissa Conte, Miguel Á. Gómez-Lim and Hua Zhang. Their work appears in journals such as Tetrahedron Letters, Scientific Reports, ChemBioChem, Chemistry - An Asian Journal and European Journal of Medicinal Chemistry.

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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