Takumi Kamura

10.7k total citations · 5 hit papers
85 papers, 7.3k citations indexed

About

Takumi Kamura is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Takumi Kamura has authored 85 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 22 papers in Oncology and 21 papers in Cell Biology. Recurrent topics in Takumi Kamura's work include Ubiquitin and proteasome pathways (46 papers), Cancer-related Molecular Pathways (20 papers) and Endoplasmic Reticulum Stress and Disease (14 papers). Takumi Kamura is often cited by papers focused on Ubiquitin and proteasome pathways (46 papers), Cancer-related Molecular Pathways (20 papers) and Endoplasmic Reticulum Stress and Disease (14 papers). Takumi Kamura collaborates with scholars based in Japan, United States and Canada. Takumi Kamura's co-authors include Joan Conaway, Ronald Conaway, Keiichi I. Nakayama, William G. Kaelin, Keiko Nakayama, Shigetsugu Hatakeyama, N. Ishida, Shigeo Sato, Taichi Hara and Michael N. Conrad and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Takumi Kamura

85 papers receiving 7.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rbx1, a Component of the VHL Tumor Suppressor Complex and SCF Ubiquitin Ligase

1999 661 citations Takumi Kamura, William G. Kaelin et al. profile →
Phosphorylation‐dependent degradation of c‐Myc is mediated by the F‐box protein Fbw7

2004 660 citations Masayoshi Yada, Shigetsugu Hatakeyama et al. profile →
Activation of HIF1α ubiquitination by a reconstituted von Hippel-Lindau (VHL) tumor suppressor complex

2000 543 citations Takumi Kamura, Shigeo Sato et al. Proceedings of the National Academy of Sciences profile →
The Elongin BC complex interacts with the conserved SOCS-box motif present in members of the SOCS, ras, WD-40 repeat, and ankyrin repeat families

1998 507 citations Takumi Kamura, Shigeo Sato et al. Genes & Development profile →
Degradation of p53 by adenovirus E4orf6 and E1B55K proteins occurs via a novel mechanism involving a Cullin-containing complex

2001 410 citations Takumi Kamura, William G. Kaelin et al. Genes & Development profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Takumi Kamura Japan	36	5.6k	2.5k	1.5k	1.1k	965	85	7.3k
Bruce E. Clurman United States	45	7.8k 1.4×	4.2k 1.7×	1.2k 0.8×	1.9k 1.7×	722 0.7×	77	9.6k
Hein te Riele Netherlands	44	6.0k 1.1×	2.3k 0.9×	1.3k 0.9×	550 0.5×	1.5k 1.5×	108	8.2k
Hideyo Yasuda Japan	44	6.1k 1.1×	3.1k 1.2×	1.1k 0.7×	1.2k 1.1×	641 0.7×	102	7.5k
Alberto Ciccia United States	28	6.6k 1.2×	2.2k 0.9×	1.1k 0.7×	735 0.7×	844 0.9×	45	7.5k
James M. Roberts United States	40	7.2k 1.3×	4.8k 1.9×	1.0k 0.7×	2.2k 2.0×	1.1k 1.2×	52	9.6k
Vincent Chau United States	36	7.3k 1.3×	2.7k 1.1×	1.6k 1.0×	2.1k 1.9×	729 0.8×	66	9.3k
Steven B. McMahon United States	42	6.5k 1.2×	2.2k 0.9×	1.9k 1.2×	505 0.5×	533 0.6×	77	8.1k
Jill M. Lahti United States	46	4.3k 0.8×	1.8k 0.7×	926 0.6×	877 0.8×	481 0.5×	88	5.9k
Hans van Dam Netherlands	44	4.4k 0.8×	1.6k 0.6×	1.1k 0.7×	663 0.6×	733 0.8×	77	5.9k
Thomas J. Gonda Australia	46	5.4k 1.0×	3.0k 1.2×	1.1k 0.7×	599 0.5×	1.2k 1.3×	125	9.2k

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

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20 of 20 papers shown

Nonaka, Keisuke, Kohei Nishimura, Kazuma Uesaka, et al.. (2025). Snf1 and yeast GSK3-β activates Tda1 to suppress glucose starvation signaling. EMBO Reports. 26(11). 2910–2930. 1 indexed citations

Obara, Keisuke, Kohei Nishimura, & Takumi Kamura. (2024). E3 Ligases Regulate Organelle Inheritance in Yeast. Cells. 13(4). 292–292. 3 indexed citations

Yamazaki, Kenji, et al.. (2024). Role of the San1 ubiquitin ligase in the heat stress-induced degradation of nonnative Nup1 in the nuclear pore complex. Genetics. 226(4). 1 indexed citations

Bessho‐Uehara, Kanako, Diane Wang, Rosalyn B. Angeles‐Shim, et al.. (2023). Regulator of Awn Elongation 3 , an E3 ubiquitin ligase, is responsible for loss of awns during African rice domestication. Proceedings of the National Academy of Sciences. 120(4). e2207105120–e2207105120. 13 indexed citations

Sugiura, Yuki, Shunsuke Matsumoto, Yuki Takano, et al.. (2023). Defective import of mitochondrial metabolic enzyme elicits ectopic metabolic stress. Science Advances. 9(15). eadf1956–eadf1956. 7 indexed citations

Ogawa, Yoshitaka, Kohei Nishimura, Keisuke Obara, & Takumi Kamura. (2023). Development of AlissAID system targeting GFP or mCherry fusion protein. PLoS Genetics. 19(6). e1010731–e1010731. 3 indexed citations

Nakatsukasa, Kunio, et al.. (2022). A positive genetic selection for transmembrane domain mutations in HRD1 underscores the importance of Hrd1 complex integrity during ERAD. Current Genetics. 68(2). 227–242. 3 indexed citations

Inoue, Shin‐ichiro, Maki Hayashi, Sheng Huang, et al.. (2022). A tonoplast‐localized magnesium transporter is crucial for stomatal opening in Arabidopsis under high Mg²⁺ conditions. New Phytologist. 236(3). 864–877. 9 indexed citations

Obara, Keisuke, et al.. (2022). Proteolysis of adaptor protein Mmr1 during budding is necessary for mitochondrial homeostasis in Saccharomyces cerevisiae. Nature Communications. 13(1). 2005–2005. 9 indexed citations

10.

Nakatsukasa, Kunio, et al.. (2022). Triacylglycerol lipase Tgl4 is a stable protein and its dephosphorylation is regulated in a cell cycle-dependent manner in Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 626. 85–91. 4 indexed citations

11.

Suzuki, Yuta, et al.. (2022). Dot6/Tod6 degradation fine-tunes the repression of ribosome biogenesis under nutrient-limited conditions. iScience. 25(3). 103986–103986. 5 indexed citations

12.

Nishimura, Kohei, Ryotaro Yamada, Shinya Hagihara, et al.. (2020). A super-sensitive auxin-inducible degron system with an engineered auxin-TIR1 pair. Nucleic Acids Research. 48(18). e108–e108. 43 indexed citations

13.

Tognon, Cristina E., Bo Rafn, Naniye Mallı Cetinbas, et al.. (2018). Insulin-like growth factor 1 receptor stabilizes the ETV6–NTRK3 chimeric oncoprotein by blocking its KPC1/Rnf123-mediated proteasomal degradation. Journal of Biological Chemistry. 293(32). 12502–12515. 13 indexed citations

14.

Okumura, Fumihiko, et al.. (2017). Hypoxia-inducible factor-2α stabilizes the von Hippel-Lindau (VHL) disease suppressor, Myb-related protein 2. PLoS ONE. 12(4). e0175593–e0175593. 4 indexed citations

15.

Okumura, Fumihiko, Akihiko Nishikimi, Taro Shuin, et al.. (2016). Parallel Regulation of von Hippel-Lindau Disease by pVHL-Mediated Degradation of B-Myb and Hypoxia-Inducible Factor α. Molecular and Cellular Biology. 36(12). 1803–1817. 21 indexed citations

16.

Okumura, Fumihiko, Dawit Hailu Alemayehu, Akihiko Nishikimi, et al.. (2016). ASB7 regulates spindle dynamics and genome integrity by targeting DDA3 for proteasomal degradation. The Journal of Cell Biology. 215(1). 95–106. 21 indexed citations

17.

Kamura, Takumi, Taichi Hara, Shuhei Kotoshiba, et al.. (2003). Degradation of p57 ^Kip2 mediated by SCF ^Skp2 -dependent ubiquitylation. Proceedings of the National Academy of Sciences. 100(18). 10231–10236. 250 indexed citations

18.

Kamura, Takumi. (2003). Degradation of p57^ mediated by SCF^ -dependent ubiquitylation. Proc Natl Acad Sci USA. 100. 1 indexed citations

19.

Kamura, Takumi, Shigeo Sato, Dewan Haque, et al.. (1998). The Elongin BC complex interacts with the conserved SOCS-box motif present in members of the SOCS, ras, WD-40 repeat, and ankyrin repeat families. Genes & Development. 12(24). 3872–3881. 507 indexed citations breakdown →

20.

Murakawa, Masahiro, Takashi Okamura, Masahiro Harada, et al.. (1995). Disseminated intravascular coagulation in transfusion-associated graft-versus-host disease. Report of two cases.. PubMed. 25(1). 31–8. 2 indexed citations

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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