Paul Soudier

521 total citations
11 papers, 305 citations indexed

About

Paul Soudier is a scholar working on Molecular Biology, Ecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul Soudier has authored 11 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul Soudier's work include Microbial Metabolic Engineering and Bioproduction (4 papers), CRISPR and Genetic Engineering (3 papers) and Gene Regulatory Network Analysis (3 papers). Paul Soudier is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), CRISPR and Genetic Engineering (3 papers) and Gene Regulatory Network Analysis (3 papers). Paul Soudier collaborates with scholars based in France, United Kingdom and Poland. Paul Soudier's co-authors include Jean‐Loup Faulon, Amir Pandi, Mathilde Koch, Jean‐Marc Nicaud, Young Kyoung Park, Manish Kushwaha, Tristan Rossignol, Olivier Borkowski, Agnès Zettor and Peter L. Voyvodic and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Microbial Cell Factories.

In The Last Decade

Paul Soudier

11 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Soudier France 9 266 77 34 17 17 11 305
Amir Pandi France 10 439 1.7× 115 1.5× 47 1.4× 18 1.1× 19 1.1× 14 523
Mathilde Koch France 10 439 1.7× 118 1.5× 33 1.0× 18 1.1× 17 1.0× 12 526
Nicolas Kylilis United Kingdom 5 283 1.1× 85 1.1× 52 1.5× 17 1.0× 21 1.2× 6 337
Zoltán A. Tuza Hungary 8 298 1.1× 60 0.8× 68 2.0× 8 0.5× 10 0.6× 19 337
Sangram Bagh India 10 184 0.7× 75 1.0× 32 0.9× 6 0.4× 5 0.3× 21 281
Nathaniel Roquet United States 4 362 1.4× 149 1.9× 44 1.3× 4 0.2× 19 1.1× 4 418
Baudoin Delépine France 9 466 1.8× 103 1.3× 39 1.1× 6 0.4× 9 0.5× 11 513
Sai Vamshi R. Jonnalagadda United States 6 205 0.8× 62 0.8× 14 0.4× 11 0.6× 9 0.5× 7 293
Glen-Oliver F. Gowers United Kingdom 6 250 0.9× 41 0.5× 27 0.8× 6 0.4× 16 0.9× 7 289
Christoph Clemens Germany 8 262 1.0× 47 0.6× 38 1.1× 32 1.9× 18 1.1× 9 306

Countries citing papers authored by Paul Soudier

Since Specialization
Citations

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

Fields of papers citing papers by Paul Soudier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Soudier

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

All Works

11 of 11 papers shown
1.
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
2.
Soudier, Paul, et al.. (2022). Toehold switch based biosensors for sensing the highly trafficked rosewood Dalbergia maritima. Synthetic and Systems Biotechnology. 7(2). 791–801. 3 indexed citations
3.
Soudier, Paul, et al.. (2022). Cell-Free Biosensors and AI Integration. Methods in molecular biology. 2433. 303–323. 3 indexed citations
4.
Soudier, Paul, Peter L. Voyvodic, Martin Cohen‐Gonsaud, et al.. (2022). Differentially Optimized Cell-Free Buffer Enables Robust Expression from Unprotected Linear DNA in Exonuclease-Deficient Extracts. ACS Synthetic Biology. 11(2). 732–746. 18 indexed citations
5.
Soudier, Paul, et al.. (2021). Optimising protein synthesis in cell‐free systems, a review. SHILAP Revista de lepidopterología. 5(1). 10–19. 16 indexed citations
6.
Borkowski, Olivier, Mathilde Koch, Agnès Zettor, et al.. (2020). Large scale active-learning-guided exploration for in vitro protein production optimization. Nature Communications. 11(1). 1872–1872. 88 indexed citations
7.
Park, Young Kyoung, Marie Vandermies, Paul Soudier, et al.. (2019). Efficient expression vectors and host strain for the production of recombinant proteins by Yarrowia lipolytica in process conditions. Microbial Cell Factories. 18(1). 167–167. 20 indexed citations
8.
Pandi, Amir, Mathilde Koch, Peter L. Voyvodic, et al.. (2019). Metabolic perceptrons for neural computing in biological systems. Nature Communications. 10(1). 3880–3880. 55 indexed citations
9.
Soudier, Paul, et al.. (2019). Selection of Heterologous Protein-Producing Strains in Yarrowia lipolytica. Methods in molecular biology. 1923. 153–168. 8 indexed citations
10.
Park, Young Kyoung, et al.. (2019). A modular Golden Gate toolkit for Yarrowia lipolytica synthetic biology. Microbial Biotechnology. 12(6). 1249–1259. 56 indexed citations
11.
Park, Young Kyoung, et al.. (2018). Engineering the architecture of erythritol-inducible promoters for regulated and enhanced gene expression in Yarrowia lipolytica. FEMS Yeast Research. 19(1). 29 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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