Katsumi Kito

3.0k citations
56 papers · 2.5k indexed · h-index 23
Topics
Ubiquitin and proteasome pathways (8 papers)Cancer-related Molecular Pathways (6 papers)Microtubule and mitosis dynamics (5 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaJournal of Molecular Biology
Partner nations
JapanUnited StatesJordan

In The Last Decade

Katsumi Kito

54 papers receiving 2.5k citations

Peers

Katsumi Kito
Comparison fields: 5 of 87
  • Molecular Biology 2.0k
  • Oncology 588
  • Cell Biology 383
  • Epidemiology 351
  • Immunology 293
Replace Saskia M. Brachmann with:
Saskia M. Brachmann United States
Mark P.A. Luna‐Vargas Netherlands
Jean‐Philippe Theurillat Switzerland
Bénédicte Lemmers France
Isabelle Jariel‐Encontre France
Andreas Gast Germany
Grzegorz Nalepa United States
Xavier Jacq United Kingdom
Dawadschargal Bech‐Otschir Germany
Diep Nguyen United States
Katsumi Kito relative to Saskia M. Brachmann United States Saskia M. Brachmann's profile →
Citations per field
00.5×1.5×
Saskia M. Brachmann · 1×
Citations per year

Countries citing papers authored by Katsumi Kito

Since Specialization
Citations

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

Fields of papers citing papers by Katsumi Kito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsumi Kito

This figure shows the co-authorship network connecting the top 25 collaborators of Katsumi Kito. A scholar is included among the top collaborators of Katsumi Kito 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 Katsumi Kito. Katsumi Kito 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 19
3 1
4 28
5 77
6 40
7 56
8 49
9 92
10 65
11 123
12 62
13 87
14 4
15 135
16 14
17 186
18 272
19 22
20 22

About Katsumi Kito

Katsumi Kito is a scholar working on Hepatology, Cell Biology and Oncology, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (6 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cell Biology (383 citations) and Oncology (588 citations). Katsumi Kito has collaborated with scholars based in Japan, United States and Jordan. Frequent co-authors include Tetsu Kamitani, Edward T.H. Yeh, Hung Phi Nguyen, Norifumi Ueda, Yasuhito Abe, Hiroyoshi Wada, Suguru Matsumoto, Takashi Takeuchi, Kazuhiro Shigemoto and Laura S. Caskey. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

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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