Thomas Duigou

658 total citations
10 papers, 399 citations indexed

About

Thomas Duigou is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Thomas Duigou has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Pharmacology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Thomas Duigou's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Enzyme Catalysis and Immobilization (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Thomas Duigou is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Enzyme Catalysis and Immobilization (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Thomas Duigou collaborates with scholars based in France, United Kingdom and Czechia. Thomas Duigou's co-authors include Jean‐Loup Faulon, Pablo Carbonell, Baudoin Delépine, Mathilde Koch, Guillaume Gricourt, Manish Kushwaha, Gizem Buldum, Geoff Baldwin, Valentin Zulkower and Olivier Telle and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Thomas Duigou

9 papers receiving 397 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas Duigou France	7	360	87	81	73	19	10	399
Aashutosh Girish Boob United States	8	260 0.7×	81 0.9×	25 0.3×	30 0.4×	18 0.9×	11	320
Tao Zeng China	9	223 0.6×	18 0.2×	65 0.8×	102 1.4×	25 1.3×	22	300
Jianan Canal Li United States	2	197 0.5×	21 0.2×	36 0.4×	15 0.2×	30 1.6×	3	257
Daniel Gerngross Switzerland	7	296 0.8×	74 0.9×	10 0.1×	32 0.4×	26 1.4×	9	337
Daniel Scheps Germany	9	269 0.7×	62 0.7×	23 0.3×	21 0.3×	12 0.6×	14	355
Alexander Kroll Germany	6	248 0.7×	48 0.6×	86 1.1×	8 0.1×	35 1.8×	9	298
Hulda S. Haraldsdóttir Luxembourg	8	379 1.1×	82 0.9×	35 0.4×	5 0.1×	27 1.4×	10	427
James G. Jeffryes United States	7	317 0.9×	53 0.6×	53 0.7×	29 0.4×	32 1.7×	8	357
Shuai Qian United States	10	554 1.5×	128 1.5×	13 0.2×	107 1.5×	27 1.4×	14	615
Marie-Claude Blatter Switzerland	5	231 0.6×	25 0.3×	59 0.7×	21 0.3×	23 1.2×	10	303

Countries citing papers authored by Thomas Duigou

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Duigou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Duigou

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Duigou. A scholar is included among the top collaborators of Thomas Duigou 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 Thomas Duigou. Thomas Duigou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Duigou, Thomas, et al.. (2025). Reverse engineering molecules from fingerprints through deterministic enumeration and generative models. Journal of Cheminformatics. 17(1). 157–157.

Gricourt, Guillaume, et al.. (2024). Artificial Intelligence Methods and Models for Retro-Biosynthesis: A Scoping Review. ACS Synthetic Biology. 13(8). 2276–2294. 16 indexed citations

Gricourt, Guillaume, Thomas Duigou, Sandra Dérozier, & Jean‐Loup Faulon. (2024). neo4jsbml: import systems biology markup language data into the graph database Neo4j. PeerJ. 12. e16726–e16726. 1 indexed citations

Soudier, Paul, Ana Zúñiga, Thomas Duigou, et al.. (2022). PeroxiHUB: A Modular Cell-Free Biosensing Platform Using H ₂ O ₂ as Signal Integrator. ACS Synthetic Biology. 11(8). 2578–2588. 9 indexed citations

Duigou, Thomas, Gizem Buldum, Olivier Telle, et al.. (2022). The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering. Nature Communications. 13(1). 5082–5082. 25 indexed citations

Koch, Mathilde, Thomas Duigou, & Jean‐Loup Faulon. (2019). Reinforcement Learning for Bioretrosynthesis. ACS Synthetic Biology. 9(1). 157–168. 92 indexed citations

Carbonell, Pablo, Mathilde Koch, Thomas Duigou, & Jean‐Loup Faulon. (2018). Enzyme Discovery: Enzyme Selection and Pathway Design. Methods in enzymology on CD-ROM/Methods in enzymology. 608. 3–27. 3 indexed citations

Duigou, Thomas, et al.. (2018). RetroRules: a database of reaction rules for engineering biology. Nucleic Acids Research. 47(D1). D1229–D1235. 74 indexed citations

Koch, Mathilde, Thomas Duigou, Pablo Carbonell, & Jean‐Loup Faulon. (2017). Molecular structures enumeration and virtual screening in the chemical space with RetroPath2.0. Journal of Cheminformatics. 9(1). 64–64. 12 indexed citations

10.

Delépine, Baudoin, Thomas Duigou, Pablo Carbonell, & Jean‐Loup Faulon. (2017). RetroPath2.0: A retrosynthesis workflow for metabolic engineers. Metabolic Engineering. 45. 158–170. 167 indexed citations

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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