Dimitri Perrin

4.5k total citations · 2 hit papers
47 papers, 2.2k citations indexed

About

Dimitri Perrin is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Dimitri Perrin has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Ecology. Recurrent topics in Dimitri Perrin's work include CRISPR and Genetic Engineering (8 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (4 papers). Dimitri Perrin is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (4 papers). Dimitri Perrin collaborates with scholars based in Australia, Japan and United States. Dimitri Perrin's co-authors include Hiroki R. Ueda, Etsuo A. Susaki, Kazuki Tainaka, Hiroko Yukinaga, Akihiro Kuno, Yoshihiro Shimizu, Hiroshi Kiyonari, Chihiro Yokoyama, Hideo Yokota and Atsushi Miyawaki and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dimitri Perrin

37 papers receiving 2.2k citations

Hit Papers

Whole-Brain Imaging with Single-Cell Resolution Using Che... 2014 2026 2018 2022 2014 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimitri Perrin Australia 13 884 667 329 329 287 47 2.2k
Etsuo A. Susaki Japan 19 1.3k 1.4× 907 1.4× 365 1.1× 470 1.4× 222 0.8× 41 2.9k
Raju Tomer United States 19 1.2k 1.4× 1.0k 1.5× 816 2.5× 468 1.4× 480 1.7× 28 3.0k
Pablo Ariel United States 12 956 1.1× 493 0.7× 507 1.5× 249 0.8× 165 0.6× 18 2.0k
Sheel Shah United States 16 1.8k 2.0× 647 1.0× 224 0.7× 305 0.9× 115 0.4× 25 2.6k
Hiroko Yukinaga Japan 7 732 0.8× 341 0.5× 217 0.7× 166 0.5× 115 0.4× 9 1.3k
Christoph Kirst United States 14 589 0.7× 254 0.4× 315 1.0× 225 0.7× 330 1.1× 23 1.5k
Takeshi Imai Japan 23 903 1.0× 576 0.9× 1.4k 4.1× 503 1.5× 160 0.6× 75 3.2k
Arthur Edelstein United States 5 1.3k 1.5× 628 0.9× 295 0.9× 438 1.3× 89 0.3× 7 2.7k
Nenad Amodaj Serbia 4 1.3k 1.4× 558 0.8× 295 0.9× 440 1.3× 88 0.3× 5 2.6k
Michalis Michaelos United States 8 887 1.0× 645 1.0× 218 0.7× 174 0.5× 152 0.5× 8 1.9k

Countries citing papers authored by Dimitri Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Dimitri Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitri Perrin

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

All Works

20 of 20 papers shown
1.
Schmitz, Carl, et al.. (2025). Leveraging uncertainty quantification to optimize CRISPR guide RNA selection. Biology Methods and Protocols. 10(1). bpaf054–bpaf054.
3.
Wynn, Moe Thandar, et al.. (2023). Predicting Carcass Weight of Grass-Fed Beef Cattle before Slaughter Using Statistical Modelling. Animals. 13(12). 1968–1968. 5 indexed citations
4.
Perrin, Dimitri, et al.. (2022). Rapid Whole-Genome Identification of High Quality CRISPR Guide RNAs with the Crackling Method. The CRISPR Journal. 5(3). 410–421. 2 indexed citations
5.
Geva, Shlomo, et al.. (2022). Metagenomic Geolocation Using Read Signatures. Frontiers in Genetics. 13. 643592–643592. 2 indexed citations
6.
Cleves, Phillip A., et al.. (2020). Reduced thermal tolerance in a coral carrying CRISPR-induced mutations in the gene for a heat-shock transcription factor. Proceedings of the National Academy of Sciences. 117(46). 28899–28905. 56 indexed citations
7.
Zhou, Bo, Steve S. Ho, Stephanie Greer, et al.. (2019). Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2. Nucleic Acids Research. 47(8). 3846–3861. 41 indexed citations
8.
Zhou, Bo, Steve S. Ho, Stephanie Greer, et al.. (2019). Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562. Genome Research. 29(3). 472–484. 60 indexed citations
9.
Perrin, Dimitri, et al.. (2019). Improving CRISPR guide design with consensus approaches. BMC Genomics. 20(S9). 931–931. 8 indexed citations
10.
Perrin, Dimitri, et al.. (2019). A benchmark of computational CRISPR-Cas9 guide design methods. PLoS Computational Biology. 15(8). e1007274–e1007274. 27 indexed citations
11.
Woodley, Alan, et al.. (2019). Flood Detection in Social Media Images using Visual Features and Metadata. 1–8. 12 indexed citations
12.
Niwa, Yasutaka, Genki N. Kanda, Rikuhiro G. Yamada, et al.. (2018). Muscarinic Acetylcholine Receptors Chrm1 and Chrm3 Are Essential for REM Sleep. Cell Reports. 24(9). 2231–2247.e7. 73 indexed citations
13.
Geva, Shlomo, James M. Hogan, Flavia Huygens, et al.. (2018). Rapid analysis of metagenomic data using signature-based clustering. BMC Bioinformatics. 19(S20). 509–509. 2 indexed citations
14.
Jolley, Craig C., Maki Ukai‐Tadenuma, Dimitri Perrin, & Hiroki R. Ueda. (2014). A Mammalian Circadian Clock Model Incorporating Daytime Expression Elements. Biophysical Journal. 107(6). 1462–1473. 21 indexed citations
15.
Ruskin, Heather J., et al.. (2011). Computational analysis of epigenetic information in human DNA sequences. QUT ePrints (Queensland University of Technology).
16.
Ruskin, Heather J., et al.. (2010). Computational Micromodel for Epigenetic Mechanisms. PLoS ONE. 5(11). e14031–e14031. 10 indexed citations
17.
Perrin, Dimitri, Heather J. Ruskin, & Tohru Niwa. (2010). Cell type-dependent, infection-induced, aberrant DNA methylation in gastric cancer. Journal of Theoretical Biology. 264(2). 570–577. 10 indexed citations
18.
Perrin, Dimitri & John W. Burns. (2008). Large-Scale Immune Models and Visualization.. ERCIM news/ERCIM news online edition. 2008(9). 914–919.
19.
Perrin, Dimitri, Heather J. Ruskin, & Martin Crane. (2008). Hiv Modelling - Parallel Implementation Strategies. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
20.
Perrin, Dimitri, Esteban Ballestar, Mario F. Fraga, et al.. (2006). Specific hypermethylation of LINE-1 elements during abnormal overgrowth and differentiation of human placenta. Oncogene. 26(17). 2518–2524. 41 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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