Deepak Reyon

39 papers receiving 11.6k citations

Hit Papers

Improving CRISPR-Cas nuclease specificity using truncated guide RNAs 2014 · 1.5k citations
1.5k201220262016202150010001.5k2.0k

Peers

Deepak Reyon
Comparison fields: 5 of 156
  • Business and International Management 937
  • Aging 751
  • Molecular Biology 10.3k
  • Genetics 2.4k
  • Insect Science 686
Replace Morgan L. Maeder with:
Morgan L. Maeder United States
Jeffry D. Sander United States
Shengdar Q. Tsai United States
Ophir Shalem United States
Naomi Habib United States
Wenyan Jiang China
Yanfang Fu United States
Fyodor D. Urnov United States
Silvana Konermann United States
Marc Güell Spain
Deepak Reyon relative to Morgan L. Maeder United States Morgan L. Maeder's profile →
Citations per field
00.5×1.5×
Morgan L. Maeder · 1×
Citations per year

Countries citing papers authored by Deepak Reyon

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Reyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Reyon, 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 Deepak Reyon Line = papers co-authored together Deepak Reyon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20238
3 201910
4 201746
5 2015357
6 201516
7
Toddler: An Embryonic Signal That Promotes Cell Movement via Apelin Receptors
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2014484
8 201417
9 201435
10
Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing
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2014749
11 2014163
12
Improving CRISPR-Cas nuclease specificity using truncated guide RNAs
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20141536
13 201344
14
High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells
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20132476
15 2013278
16 2013375
17 2012128
18 2012194
19 201131
20 2010269

About Deepak Reyon

Deepak Reyon is a scholar working on Business and International Management, Aging, Molecular Biology, Cell Biology and Hematology, having authored 40 papers that have together received 11.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (24 papers), Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (8 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers), Plant Virus Research Studies (5 papers), Zebrafish Biomedical Research Applications (5 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Business and International Management (937 citations), Aging (751 citations), Molecular Biology (10.3k citations), Genetics (2.4k citations) and Insect Science (686 citations). Deepak Reyon has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include J. Keith Joung, Jeffry D. Sander, Yanfang Fu, Morgan L. Maeder, Cyd Khayter, Shengdar Q. Tsai, Vincent Cascio, Jing-Ruey Joanna Yeh, Randall T. Peterson and Woong Y. Hwang. Their work appears in journals such as Nature Biotechnology, PLoS ONE, Nucleic Acids Research, Nature Methods and Blood.

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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