Jean Peccoud

4.0k total citations
72 papers, 2.4k citations indexed

About

Jean Peccoud is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Jean Peccoud has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Artificial Intelligence. Recurrent topics in Jean Peccoud's work include Gene Regulatory Network Analysis (33 papers), CRISPR and Genetic Engineering (11 papers) and Bioinformatics and Genomic Networks (10 papers). Jean Peccoud is often cited by papers focused on Gene Regulatory Network Analysis (33 papers), CRISPR and Genetic Engineering (11 papers) and Bioinformatics and Genomic Networks (10 papers). Jean Peccoud collaborates with scholars based in United States, France and Niger. Jean Peccoud's co-authors include Bernard Ycart, Diane Mathis, Yizhi Cai, Paolo Dellabona, Christophe Jacob, Christophe Benoıst, Michael J. Czar, John W. Kappler, Philippa Marrack and Jenna Gallegos and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jean Peccoud

68 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Peccoud United States	21	1.7k	449	400	177	131	72	2.4k
Tatiana T. Marquez‐Lago United States	30	3.1k 1.9×	284 0.6×	340 0.8×	81 0.5×	129 1.0×	62	3.8k
André Leier United States	31	3.2k 1.9×	278 0.6×	148 0.4×	159 0.9×	75 0.6×	66	3.7k
William S. Hlavacek United States	36	2.9k 1.8×	402 0.9×	522 1.3×	99 0.6×	145 1.1×	103	4.0k
Yanhong Li China	17	2.0k 1.2×	315 0.7×	225 0.6×	173 1.0×	47 0.4×	87	3.4k
Deval Lashkari United States	14	4.6k 2.7×	705 1.6×	374 0.9×	261 1.5×	201 1.5×	19	5.9k
Brian Hie United States	17	2.9k 1.7×	250 0.6×	222 0.6×	191 1.1×	116 0.9×	24	3.7k
Sven Rahmann Germany	31	2.9k 1.7×	528 1.2×	338 0.8×	272 1.5×	216 1.6×	132	4.3k
Teresa M. Przytycka United States	44	4.5k 2.7×	762 1.7×	192 0.5×	313 1.8×	163 1.2×	157	5.7k
Julien Gagneur Germany	37	5.0k 3.0×	824 1.8×	266 0.7×	154 0.9×	213 1.6×	92	6.0k
Jianzhu Ma United States	27	2.2k 1.3×	162 0.4×	139 0.3×	309 1.7×	83 0.6×	69	3.1k

Countries citing papers authored by Jean Peccoud

Since Specialization

Citations

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

Fields of papers citing papers by Jean Peccoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Peccoud

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peccoud, Jean, et al.. (2025). Self-documenting plasmids. Trends in biotechnology. 43(9). 2344–2361.

Peccoud, Jean, et al.. (2024). Cryptographic approaches to authenticating synthetic DNA sequences. Trends in biotechnology. 42(8). 1002–1016. 9 indexed citations

Gallegos, Jenna, et al.. (2020). Rapid, robust plasmid verification by de novo assembly of short sequencing reads. Nucleic Acids Research. 48(18). e106–e106. 10 indexed citations

Tyson, John J., et al.. (2020). A hybrid stochastic model of the budding yeast cell cycle. npj Systems Biology and Applications. 6(1). 7–7. 10 indexed citations

Adames, Neil, et al.. (2020). A stochastic model for error correction of kinetochore-microtubule attachments in budding yeast. PLoS ONE. 15(8). e0236293–e0236293.

Adames, Neil, et al.. (2019). Hands-On Introduction to Synthetic Biology for Security Professionals. Trends in biotechnology. 37(11). 1143–1146. 3 indexed citations

Adames, Neil, Jenna Gallegos, & Jean Peccoud. (2018). Yeast genetic interaction screens in the age of CRISPR/Cas. Current Genetics. 65(2). 307–327. 26 indexed citations

Murch, Randall S., et al.. (2018). Cyberbiosecurity: An Emerging New Discipline to Help Safeguard the Bioeconomy. Frontiers in Bioengineering and Biotechnology. 6. 39–39. 61 indexed citations

Peccoud, Jean, Jenna Gallegos, Randall S. Murch, Wallace G. Buchholz, & Sanjay Raman. (2017). Cyberbiosecurity: From Naive Trust to Risk Awareness. Trends in biotechnology. 36(1). 4–7. 61 indexed citations

10.

Coll, Anna, Mandy Wilson, Kristina Gruden, & Jean Peccoud. (2016). GenoCAD Plant Grammar to Design Plant Expression Vectors for Promoter Analysis. Methods in molecular biology. 1482. 219–232. 6 indexed citations

11.

Adames, Neil, et al.. (2015). Experimental testing of a new integrated model of the budding yeast Starttransition. Molecular Biology of the Cell. 26(22). 3966–3984. 16 indexed citations

12.

Adames, Neil, Mandy Wilson, Gang Fang, et al.. (2015). GenoLIB: a database of biological parts derived from a library of common plasmid features. Nucleic Acids Research. 43(10). 4823–4832. 17 indexed citations

13.

Ball, David A., Matthew W. Lux, Neil Adames, & Jean Peccoud. (2014). Adaptive Imaging Cytometry to Estimate Parameters of Gene Networks Models in Systems and Synthetic Biology. PLoS ONE. 9(9). e107087–e107087. 10 indexed citations

14.

Peccoud, Jean. (2013). The A-Myth: running your lab as a business. Figshare. 1 indexed citations

15.

Peccoud, Jean. (2012). Gene Synthesis. Methods in molecular biology. 6 indexed citations

16.

Wilson, Mandy, et al.. (2011). A Step-by-Step Introduction to Rule-Based Design of Synthetic Genetic Constructs Using GenoCAD. Methods in enzymology on CD-ROM/Methods in enzymology. 498. 173–188. 7 indexed citations

17.

Lux, Matthew W., et al.. (2011). Genetic design automation: engineering fantasy or scientific renewal?. Trends in biotechnology. 30(2). 120–126. 45 indexed citations

18.

Goler, Jonathan A., et al.. (2008). Genetic design: rising above the sequence. Trends in biotechnology. 26(10). 538–544. 24 indexed citations

19.

Peccoud, Jean. (2004). The Selective Values of Alleles in a Molecular Network Model Are Context Dependent. Genetics. 166(4). 1715–1725. 36 indexed citations

20.

Reske-Kunz, A B, D Landais, Jean Peccoud, Christophe Benoıst, & Diane Mathis. (1989). Functional sites on the A alpha -chain. Polymorphic residues involved in antigen presentation to insulin-specific, A b alpha :A k beta -restricted T cells.. The Journal of Immunology. 143(5). 1472–1481. 8 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.

Explore authors with similar magnitude of impact