K. Okamura

143 papers receiving 4.0k citations

K. Okamura's Hit Papers

Targeted DNA demethylation in vivo using dCas9–peptide repeat and scFv–TET1 catalytic domain fusions 2016 · 382 citations
3820+3+6Years since publication100200300

Peers

K. Okamura
Comparison fields: 5 of 155
  • Ceramics and Composites 1.5k
  • Reproductive Medicine 208
  • Mechanical Engineering 915
  • Materials Chemistry 942
  • Genetics 477
Replace Mark P. Lewis with:
Mark P. Lewis United Kingdom
Yoshihito Yokoyama Japan
Takuya Matsunaga Japan
Morihiko Nakamura Japan
Hong Wang China
Satoshi Yamazaki Japan
Koji Miyake Japan
Fabrice Rossignol France
Kenichi Nishiyama Japan
Keizo Kobayashi Japan
K. Okamura relative to Mark P. Lewis United Kingdom Mark P. Lewis's profile →
Citations per field
00.5×8.0×
Mark P. Lewis · 1×
Citations per year

Countries citing papers authored by K. Okamura

Since Specialization
Citations

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

Fields of papers citing papers by K. Okamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976441
2
Targeted DNA demethylation in vivo using dCas9–peptide repeat and scFv–TET1 catalytic domain fusions
Hit paper breakdown →
2016382
3 1978306
4 1999166
5 1987147
6 1987104
7 200490
8 200087
9 199885
10 200367
11 198966
12 197664
13 200063
14 198760
15 200052
16 201748
17 198646
18 200245
19 201441
20 200241

About K. Okamura

K. Okamura is a scholar working on Ceramics and Composites, Molecular Biology, Genetics, Materials Chemistry and Mechanical Engineering, having authored 148 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced ceramic materials synthesis (40 papers), Epigenetics and DNA Methylation (19 papers), Advanced materials and composites (10 papers), Fiber-reinforced polymer composites (10 papers), Diamond and Carbon-based Materials Research (9 papers), Genetic Syndromes and Imprinting (9 papers), Silicone and Siloxane Chemistry (8 papers) and Silicon Carbide Semiconductor Technologies (7 papers). The work is most often cited by research in Ceramics and Composites (1.5k citations), Reproductive Medicine (208 citations), Mechanical Engineering (915 citations), Materials Chemistry (942 citations) and Genetics (477 citations). K. Okamura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Setsuko Yajima, Yoshio Hasegawa, J. Hayashi, Mika Omori, Takuro Matsuzawa, Toshio Shimoo, Kazuhiko Nakabayashi, Kenichiro Hata, Masaki Sato and Yuya Sasaki. Their work appears in journals such as Journal of Materials Science, Scientific Reports, Journal of Nuclear Materials, International Journal of Gynecological Cancer and BMC Genomics.

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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