Keiko Sugimoto

12.4k total citations · 3 hit papers
105 papers, 8.8k citations indexed

About

Keiko Sugimoto is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Keiko Sugimoto has authored 105 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Plant Science, 77 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Keiko Sugimoto's work include Plant Molecular Biology Research (79 papers), Plant Reproductive Biology (32 papers) and Plant tissue culture and regeneration (27 papers). Keiko Sugimoto is often cited by papers focused on Plant Molecular Biology Research (79 papers), Plant Reproductive Biology (32 papers) and Plant tissue culture and regeneration (27 papers). Keiko Sugimoto collaborates with scholars based in Japan, United States and United Kingdom. Keiko Sugimoto's co-authors include Akira Iwase, Momoko Ikeuchi, Keith Roberts, Takashi Ishida, Geoffrey O. Wasteneys, Christian Breuer, Bart Rymen, Richard E. Williamson, Nicola Stacey and Mikiko Kojima and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Keiko Sugimoto

103 papers receiving 8.6k citations

Hit Papers

Plant Callus: Mechanisms of Induction and Repression 2013 2026 2017 2021 2013 2016 2019 200 400 600

Peers

Keiko Sugimoto
Comparison fields: 5 of 132
  • Plant Science 7.4k
  • Molecular Biology 6.3k
  • Cell Biology 568
  • Ecology, Evolution, Behavior and Systematics 322
  • Genetics 238
Minami Matsui Japan
Norbert Sauer Germany
Jin‐Gui Chen United States
Tomohiko Kato Japan
Ranjan Swarup United Kingdom
Alexandra M. E. Jones United Kingdom
Zhizhong Gong China
Miguel A. Botella Spain
Ykä Helariutta Finland
Niko Geldner Switzerland
Minami Matsui Japan View profile →
Citations per field, relative to Keiko Sugimoto
Keiko Sugimoto · 1×
Citations per year, relative to Keiko Sugimoto
Keiko Sugimoto · 1×

Countries citing papers authored by Keiko Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Sugimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Sugimoto. A scholar is included among the top collaborators of Keiko 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 Keiko Sugimoto. Keiko 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
# Work Indexed citations
1 5
2 40
3 7
4 11
5 81
6 62
7 235
8 177
9 101
10 27
11 72
12 128
13 4
14 376
15 363
16 219
17 157
18 135
19 11
20
A neurophysiological study among Chinese CS2-exposed workers.
9

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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