Dimitri Perrin

4.6k citations
56 papers · 2.3k · 2 hit papers · h-index 14

Impact in

Papers in

Dimitri Perrin

45 papers receiving 2.3k citations

Dimitri Perrin's Hit Papers

Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging 2015 · 531 citations
5310+4+8Years since publication250500750

Peers

Dimitri Perrin
Comparison fields: 5 of 152
  • Biophysics 667
  • Endocrine and Autonomic Systems 166
  • Structural Biology 37
  • Cellular and Molecular Neuroscience 328
  • Developmental Neuroscience 61
Replace Etsuo A. Susaki with:
Etsuo A. Susaki Japan
Sheel Shah United States
Raju Tomer United States
Pablo Ariel United States
Takeshi Imai Japan
Ryan W. Draft United States
Michalis Michaelos United States
Carsen Stringer United States
Verena C. Wimmer Australia
Eric Lubeck United States
Dimitri Perrin relative to Etsuo A. Susaki Japan Etsuo A. Susaki's profile →
Citations per field
00.5×1.5×
Etsuo A. Susaki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dimitri Perrin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dimitri Perrin Line = papers co-authored together Dimitri Perrin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis
Hit paper breakdown →
2014951
2
Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging
Hit paper breakdown →
2015531
3 2016142
4 201688
5 201878
6 202069
7 201964
8 201863
9 200644
10 201943
11 201930
12 201428
13 201421
14 202317
15 202313
16 201013
17 201913
18 200613
19 202312
20 201011

About Dimitri Perrin

Dimitri Perrin is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering, Ecology and Cognitive Neuroscience, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Epigenetics and DNA Methylation (5 papers), Artificial Immune Systems Applications (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Cell Image Analysis Techniques (4 papers), RNA modifications and cancer (4 papers), Complex Network Analysis Techniques (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Biophysics (667 citations), Endocrine and Autonomic Systems (166 citations), Structural Biology (37 citations), Cellular and Molecular Neuroscience (328 citations) and Developmental Neuroscience (61 citations). Dimitri Perrin has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include Hiroki R. Ueda, Etsuo A. Susaki, Kazuki Tainaka, Hiroko Yukinaga, Akihiro Kuno, Yoshihiro Shimizu, Hiroshi Kiyonari, Megumi Eguchi, Tomonobu M. Watanabe and Chihiro Yokoyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, mSystems, Cell Reports, Cell and Nature Protocols.

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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