Florent Collas

409 citations
8 papers · 306 · h-index 8

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 7
    • CRISPR and Genetic Engineering 2
    • Bacterial Genetics and Biotechnology 1

Florent Collas

8 papers receiving 305 citations

Peers

Florent Collas
Comparison fields: 5 of 33
  • Molecular Biology 243
  • Process Chemistry and Technology 4
  • Biomedical Engineering 42
  • Fluid Flow and Transfer Processes 6
  • Environmental Engineering 9
Replace Chang-Ting Chen with:
Chang-Ting Chen United States
Wouter Kuit Netherlands
Seung Hwan Lee South Korea
Mugesh Sankaranarayanan India
R. Kyle Bennett United States
Fabian Steffler Germany
Chenhao Sun United Kingdom
Hisanari Yoneda Japan
Shivani Garg United States
Igor W. Bogorad United States
Florent Collas relative to Chang-Ting Chen United States Chang-Ting Chen's profile →
Citations per field
00.5×1.5×2×
Chang-Ting Chen · 1×
Citations per year

Countries citing papers authored by Florent Collas

Since Specialization
Citations

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

Fields of papers citing papers by Florent Collas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Florent Collas, 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 Florent Collas Line = papers co-authored together Florent Collas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201280
2 201779
3 202347
4 202332
5 201825
6 201924
7 202511
8 20208

About Florent Collas

Florent Collas is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 306 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), CRISPR and Genetic Engineering (2 papers), Bacterial Genetics and Biotechnology (1 paper) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Molecular Biology (243 citations), Process Chemistry and Technology (4 citations), Biomedical Engineering (42 citations), Fluid Flow and Transfer Processes (6 citations) and Environmental Engineering (9 citations). Florent Collas has collaborated with scholars based in Netherlands, France and Germany. Frequent co-authors include Ana María López-Contreras, Nicolas Lopes Ferreira, Wouter Kuit, Frédéric Monot, Servé W. M. Kengen, Fabian Machens, Steffen N. Lindner, Arren Bar‐Even, Karin Schann and Hetty van der Wal. Their work appears in journals such as Frontiers in Microbiology, Applied and Environmental Microbiology, Nature Communications, Frontiers in Bioengineering and Biotechnology and Journal of Microbiological Methods.

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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