Marielle Besnard‐Gonnet

533 citations
4 papers · 144 indexed · h-index 4
Topics
Amino Acid Enzymes and Metabolism (2 papers)Enzyme Catalysis and Immobilization (2 papers)Enzyme Structure and Function (2 papers)
Partner nations
France

In The Last Decade

Marielle Besnard‐Gonnet

4 papers receiving 143 citations

Peers

Marielle Besnard‐Gonnet
Comparison fields: 5 of 44
  • Molecular Biology 105
  • Biochemistry 33
  • Biotechnology 21
  • Materials Chemistry 20
  • Plant Science 18
Replace Chetanya Pandya with:
Chetanya Pandya United States
Louis‐Claude Comeau France
Florian Hubrich Germany
Naoyuki Tanaka Japan
Daniel Gerngross Switzerland
Yusong Zou United States
Jack A. Connolly United Kingdom
Edward Donald Kennedy United Kingdom
Michael Schümperli Switzerland
Trevor Palmer United Kingdom
Marielle Besnard‐Gonnet relative to Chetanya Pandya United States Chetanya Pandya's profile →
Citations per field
00.5×1.5×
Chetanya Pandya · 1×
Citations per year

Countries citing papers authored by Marielle Besnard‐Gonnet

Since Specialization
Citations

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

Fields of papers citing papers by Marielle Besnard‐Gonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marielle Besnard‐Gonnet. 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 Marielle Besnard‐Gonnet. The network helps show where Marielle Besnard‐Gonnet may publish in the future.

Co-authorship network of co-authors of Marielle Besnard‐Gonnet

This figure shows the co-authorship network connecting the top 25 collaborators of Marielle Besnard‐Gonnet. A scholar is included among the top collaborators of Marielle Besnard‐Gonnet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marielle Besnard‐Gonnet. Marielle Besnard‐Gonnet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 34
2 22
3 59
4 29

About Marielle Besnard‐Gonnet

Marielle Besnard‐Gonnet is a scholar working on Biochemistry, Biotechnology and Pollution, having authored 4 papers that have together received 144 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Biochemistry (33 citations), Biotechnology (21 citations) and Molecular Biology (105 citations). Marielle Besnard‐Gonnet has collaborated with scholars based in France. Frequent co-authors include Véronique de Berardinis, Alain Perret, Marcel Salanoubat, Jean‐Louis Petit, Adrien Debard, Aline Mariage, Virginie Pellouin, Mark Stam, Jean Weissenbach and Anne Zaparucha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Advanced Synthesis & Catalysis.

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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