Takumi Kamura

10.7k citations
85 papers · 7.3k indexed · 5 hit papers · h-index 36
Topics
Ubiquitin and proteasome pathways (46 papers)Cancer-related Molecular Pathways (20 papers)Endoplasmic Reticulum Stress and Disease (14 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Takumi Kamura

85 papers receiving 7.2k citations

Hit Papers

Rbx1, a Component of the VHL Tumor Suppressor Complex and...199820262007201619992004200019982001200400600

Peers

Takumi Kamura
Comparison fields: 5 of 115
  • Molecular Biology 5.6k
  • Oncology 2.5k
  • Cancer Research 1.5k
  • Cell Biology 1.1k
  • Genetics 965
Replace Vincent Chau with:
Vincent Chau United States
Steven B. McMahon United States
Bruce E. Clurman United States
Hideyo Yasuda Japan
James M. Roberts United States
Laura Sanz Spain
Alberto Ciccia United States
Richard A. Ashmun United States
Daniel B. Levy United States
Antonis E. Koromilas Canada
Takumi Kamura relative to Vincent Chau United States Vincent Chau's profile →
Citations per field
00.5×1.5×
Vincent Chau · 1×
Citations per year

Countries citing papers authored by Takumi Kamura

Since Specialization
Citations

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

Fields of papers citing papers by Takumi Kamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takumi Kamura

This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Kamura. A scholar is included among the top collaborators of Takumi Kamura 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 Takumi Kamura. Takumi Kamura 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 3
3 1
4 3
5 13
6 7
7 3
8 4
9 9
10 9
11 43
12 13
13 21
14 21
15 8
16 250
17
Degradation of p57^ mediated by SCF^ -dependent ubiquitylation
1
18 50
19 138
20 17

About Takumi Kamura

Takumi Kamura is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 85 papers that have together received 7.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (46 papers), Cancer-related Molecular Pathways (20 papers) and Endoplasmic Reticulum Stress and Disease (14 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (2.5k citations) and Molecular Biology (5.6k citations). Takumi Kamura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ronald Conaway, Joan Conaway, Keiichi I. Nakayama, William G. Kaelin, Keiko Nakayama, Shigetsugu Hatakeyama, N. Ishida, Shigeo Sato, Taichi Hara and Michael N. Conrad. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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