Matias Kaplan

2.7k citations
7 papers · 2.0k indexed · 3 hit papers · h-index 6
Topics
CRISPR and Genetic Engineering (5 papers)RNA and protein synthesis mechanisms (5 papers)Advanced biosensing and bioanalysis techniques (4 papers)

In The Last Decade

Matias Kaplan

7 papers receiving 1.9k citations

Hit Papers

Structures of Cas9 Endonucleases Reveal RNA-Mediated Conf...2014202620182022201420142015250500750

Peers

Matias Kaplan
Comparison fields: 5 of 78
  • Molecular Biology 1.9k
  • Genetics 298
  • Business and International Management 214
  • Plant Science 186
  • Insect Science 171
Replace Ole Niewoehner with:
Ole Niewoehner Switzerland
Carolin Anders Switzerland
Emine Kaya Germany
Hisato Hirano Japan
Jonathan Strecker United States
Benjamin L. Oakes United States
Alexandra East Singapore
Russell T. Walton United States
Gang Sheng China
Shannon M. Miller United States
Matias Kaplan relative to Ole Niewoehner Switzerland Ole Niewoehner's profile →
Citations per field
00.5×1.5×1.8×
Ole Niewoehner · 1×
Citations per year

Countries citing papers authored by Matias Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Matias Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matias Kaplan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 3
2 59
3 5
4 38
5
Conformational control of DNA target cleavage by CRISPR–Cas9breakdown →
472
6
Structures of Cas9 Endonucleases Reveal RNA-Mediated Conformational Activationbreakdown →
900
7
Programmable RNA recognition and cleavage by CRISPR/Cas9breakdown →
500

About Matias Kaplan

Matias Kaplan is a scholar working on Biophysics, Information Systems and Management and Molecular Biology, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Business and International Management (214 citations), Aging (141 citations) and Molecular Biology (1.9k citations). Matias Kaplan has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jennifer A. Doudna, Samuel H. Sternberg, Benjamin LaFrance, Alexandra East-Seletsky, Mitchell R. O’Connell, Benjamin L. Oakes, Martin Jínek, Carolin Anders, David W. Taylor and M. Hauer. Their work appears in journals such as Nature, Science and Nature Communications.

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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