Kenji Sugimoto

7.0k citations
175 papers · 5.6k indexed · 2 hit papers · h-index 35
Topics
Microtubule and mitosis dynamics (21 papers)Synthetic Organic Chemistry Methods (21 papers)Genomics and Chromatin Dynamics (17 papers)

In The Last Decade

Kenji Sugimoto

169 papers receiving 5.4k citations

Hit Papers

G9a histone methyltransferase plays a dominant role in eu...200120262009201720022001250500750

Peers

Kenji Sugimoto
Comparison fields: 5 of 134
  • Molecular Biology 3.6k
  • Organic Chemistry 1.1k
  • Cell Biology 799
  • Plant Science 597
  • Genetics 433
Replace Shuji Takahashi with:
Shuji Takahashi Japan
Tatsuya Tamaoki Japan
A. Ivana Scovassi Italy
Marc Labelle Canada
Yves Gareau Canada
Michel Gallant Canada
Karin Öllinger Sweden
Ho Jeong Kwon South Korea
Michael Boyce United States
Georg Krupitza Austria
Kenji Sugimoto relative to Shuji Takahashi Japan Shuji Takahashi's profile →
Citations per field
00.5×1.5×1.9×
Shuji Takahashi · 1×
Citations per year

Countries citing papers authored by Kenji Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Sugimoto

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 3
5 6
6 3
7 6
8 46
9 25
10 3
11 4
12 18
13 27
14 11
15 161
16 61
17
SET Domain-containing Protein, G9a, Is a Novel Lysine-preferring Mammalian Histone Methyltransferase with Hyperactivity and Specific Selectivity to Lysines 9 and 27 of Histone H3breakdown →
639
18 22
19 94
20 1

About Kenji Sugimoto

Kenji Sugimoto is a scholar working on Organic Chemistry, Cell Biology and Pharmacology, having authored 175 papers that have together received 5.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (21 papers), Synthetic Organic Chemistry Methods (21 papers) and Genomics and Chromatin Dynamics (17 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Cell Biology (799 citations) and Organic Chemistry (1.1k citations). Kenji Sugimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Makoto Tachibana, Yoichi Shinkai, Tatsunobu Fukushima, Hidetoshi Tokuyama, Michio Himeno, Naoki Takeda, Hiroyuki Kato, Jun Ueda, Tsutomu Ohta and Hiroyuki Niida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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