M. Seki

60 papers receiving 2.9k citations

M. Seki's Hit Papers

Virological characteristics of the SARS-CoV-2 Omicron BA.2 spike 2022 · 233 citations
2330+2+5Years since publication250500750

Peers

M. Seki
Comparison fields: 5 of 149
  • Business and International Management 99
  • Aging 80
  • Infectious Diseases 611
  • Molecular Biology 1.3k
  • Nuclear and High Energy Physics 270
Replace Neil A. Switz with:
Neil A. Switz United States
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Countries citing papers authored by M. Seki

Since Specialization
Citations

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

Fields of papers citing papers by M. Seki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Engineered CRISPR-Cas9 nuclease with expanded targeting space
Hit paper breakdown →
2018878
2
Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant
Hit paper breakdown →
2022491
3
Virological characteristics of the SARS-CoV-2 Omicron BA.2 spike
Hit paper breakdown →
2022233
4 2020171
5 2003152
6 199785
7 202085
8 197878
9 200268
10 200055
11 202051
12 199649
13 201049
14 197834
15 200432
16 199030
17 199130
18 198926
19 200524
20 199022

About M. Seki

M. Seki is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Materials Chemistry, Molecular Biology and Surgery, having authored 65 papers that have together received 2.9k indexed citations. Recurring topics across this work include Fusion materials and technologies (16 papers), Magnetic confinement fusion research (12 papers), CRISPR and Genetic Engineering (8 papers), Nuclear Materials and Properties (6 papers), Superconducting Materials and Applications (6 papers), Laser-Plasma Interactions and Diagnostics (4 papers), RNA and protein synthesis mechanisms (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Business and International Management (99 citations), Aging (80 citations), Infectious Diseases (611 citations), Molecular Biology (1.3k citations) and Nuclear and High Energy Physics (270 citations). M. Seki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuhiko Sumi, Hiroshi Kawamura, Takahiro Wada, Nozomu Yachie, Osamu Naito, Hiroyuki Aburatani, Shunta Ide, Toshio Fujita, Philippe C Després and Shogo Yamamoto. Their work appears in journals such as Journal of Nuclear Materials, Fusion Engineering and Design, Nuclear Fusion, Cancer Science and Journal of Visualized Experiments.

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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