Toshifumi Inada

9.3k total citations
113 papers, 6.6k citations indexed

About

Toshifumi Inada is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Toshifumi Inada has authored 113 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 30 papers in Genetics and 10 papers in Oncology. Recurrent topics in Toshifumi Inada's work include RNA and protein synthesis mechanisms (72 papers), RNA modifications and cancer (54 papers) and RNA Research and Splicing (46 papers). Toshifumi Inada is often cited by papers focused on RNA and protein synthesis mechanisms (72 papers), RNA modifications and cancer (54 papers) and RNA Research and Splicing (46 papers). Toshifumi Inada collaborates with scholars based in Japan, Germany and United States. Toshifumi Inada's co-authors include Hiroji Aiba, Kazushige Kuroha, Ken Ikeuchi, Tsuyako Tatematsu, Keiko Kimata, Yoshitaka Matsuo, Roland Beckmann, Yoshikazu Nakamura, Teppei Morita and Lyudmila Dimitrova-Paternoga and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Toshifumi Inada

107 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshifumi Inada Japan 50 5.8k 1.6k 548 538 461 113 6.6k
Anton A. Komar United States 40 4.9k 0.8× 618 0.4× 490 0.9× 212 0.4× 386 0.8× 110 5.9k
Zoya Ignatova Germany 40 4.6k 0.8× 926 0.6× 347 0.6× 372 0.7× 213 0.5× 123 5.2k
Christiane Schaffitzel United Kingdom 38 3.9k 0.7× 849 0.5× 352 0.6× 445 0.8× 201 0.4× 90 4.7k
Christopher W. Akey United States 35 4.4k 0.8× 672 0.4× 710 1.3× 223 0.4× 226 0.5× 54 5.1k
Richard A. Padgett United States 38 6.9k 1.2× 758 0.5× 267 0.5× 216 0.4× 373 0.8× 72 7.9k
Lev L. Kisselev Russia 42 5.7k 1.0× 941 0.6× 152 0.3× 283 0.5× 417 0.9× 191 6.2k
Katharina Strub Switzerland 30 3.6k 0.6× 1.1k 0.7× 445 0.8× 367 0.7× 120 0.3× 42 4.2k
Christine Guthrie United States 61 12.4k 2.1× 661 0.4× 840 1.5× 384 0.7× 302 0.7× 123 13.1k
Elmar Wahle Germany 48 7.0k 1.2× 732 0.5× 241 0.4× 193 0.4× 209 0.5× 88 7.6k
Joel G. Belasco United States 47 8.0k 1.4× 3.2k 2.0× 153 0.3× 1.8k 3.3× 232 0.5× 98 9.3k

Countries citing papers authored by Toshifumi Inada

Since Specialization
Citations

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

Fields of papers citing papers by Toshifumi Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshifumi Inada

This figure shows the co-authorship network connecting the top 25 collaborators of Toshifumi Inada. A scholar is included among the top collaborators of Toshifumi Inada 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 Toshifumi Inada. Toshifumi Inada 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
1.
Paternoga, Helge, Lu Xia, Lyudmila Dimitrova-Paternoga, et al.. (2025). Structure of a Gcn2 dimer in complex with the large 60S ribosomal subunit. Proceedings of the National Academy of Sciences. 122(15). e2415807122–e2415807122. 2 indexed citations
2.
Becker, Thomas, et al.. (2025). The ribosome as a platform to coordinate mRNA decay. Nucleic Acids Research. 53(4). 3 indexed citations
3.
Li, Sihan, et al.. (2025). Collision-induced ribosome degradation driven by ribosome competition and translational perturbations. Nature Communications. 16(1). 11087–11087.
4.
5.
Ishimura, Ryosuke, et al.. (2023). Mechanistic insights into the roles of the UFM1 E3 ligase complex in ufmylation and ribosome-associated protein quality control. Science Advances. 9(33). eadh3635–eadh3635. 27 indexed citations
6.
Matsuo, Yoshitaka, Takayuki Uchihashi, & Toshifumi Inada. (2023). Decoding of the ubiquitin code for clearance of colliding ribosomes by the RQT complex. Nature Communications. 14(1). 79–79. 21 indexed citations
7.
Komatsu, Masaaki, Toshifumi Inada, & Nobuo N. Noda. (2023). The UFM1 system: Working principles, cellular functions, and pathophysiology. Molecular Cell. 84(1). 156–169. 26 indexed citations
8.
Denk, Timo, Yoshitaka Matsuo, Takato Sugiyama, et al.. (2022). A distinct mammalian disome collision interface harbors K63-linked polyubiquitination of uS10 to trigger hRQT-mediated subunit dissociation. Nature Communications. 13(1). 6411–6411. 45 indexed citations
9.
Watanabe, Atsuya, Petr Těšina, Satoshi Hashimoto, et al.. (2022). Two modes of Cue2-mediated mRNA cleavage with distinct substrate recognition initiate no-go decay. Nucleic Acids Research. 51(1). 253–270. 16 indexed citations
10.
Alam, Mahabub, Hiroki Shima, Yoshitaka Matsuo, et al.. (2022). mTORC1-independent translation control in mammalian cells by methionine adenosyltransferase 2A and S-adenosylmethionine. Journal of Biological Chemistry. 298(7). 102084–102084. 8 indexed citations
11.
Ishimura, Ryosuke, Daisuke Noshiro, Yasuko Ono, et al.. (2022). The UFM1 system regulates ER-phagy through the ufmylation of CYB5R3. Nature Communications. 13(1). 7857–7857. 50 indexed citations
12.
Ikeuchi, Ken, et al.. (2021). The nascent polypeptide in the 60S subunit determines the Rqc2-dependency of ribosomal quality control. Nucleic Acids Research. 49(4). 2102–2113. 12 indexed citations
13.
Nobuta, Risa, et al.. (2020). eIF4G-driven translation initiation of downstream ORFs in mammalian cells. Nucleic Acids Research. 48(18). 10441–10455. 5 indexed citations
14.
Matsuo, Yoshitaka, Petr Těšina, Akinori Endo, et al.. (2020). RQT complex dissociates ribosomes collided on endogenous RQC substrate SDD1. Nature Structural & Molecular Biology. 27(4). 323–332. 105 indexed citations
15.
Saito, T., et al.. (2020). Crucial role of leaky initiation of uORF3 in the downregulation of HNT1 by ER stress. Biochemical and Biophysical Research Communications. 528(1). 186–192. 4 indexed citations
16.
Buschauer, Robert, Yoshitaka Matsuo, Takato Sugiyama, et al.. (2020). The Ccr4-Not complex monitors the translating ribosome for codon optimality. Science. 368(6488). 171 indexed citations
17.
Inada, Toshifumi. (2019). Quality controls induced by aberrant translation. Nucleic Acids Research. 48(3). 1084–1096. 76 indexed citations
18.
Ikeuchi, Ken, Petr Těšina, Yoshitaka Matsuo, et al.. (2019). Collided ribosomes form a unique structural interface to induce Hel2‐driven quality control pathways. The EMBO Journal. 38(5). 216 indexed citations
19.
Sugiyama, Takato, et al.. (2017). Crucial role of ATP-bound Sse1 in Upf1-dependent degradation of the truncated product. Biochemical and Biophysical Research Communications. 488(1). 122–128. 1 indexed citations
20.
Abo, Tatsuhiko, Toshifumi Inada, Kazuko Ogawa, & Hiroji Aiba. (2000). SsrA-mediated tagging and proteolysis of LacI and its role in the regulation of lac operon. The EMBO Journal. 19(14). 3762–3769. 119 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Anton A. Komar Breakdown of academic impact, for papers by Zoya Ignatova Breakdown of academic impact, for papers by Christiane Schaffitzel Breakdown of academic impact, for papers by Christopher W. Akey Breakdown of academic impact, for papers by Richard A. Padgett Breakdown of academic impact, for papers by Lev L. Kisselev Breakdown of academic impact, for papers by Katharina Strub Breakdown of academic impact, for papers by Christine Guthrie Breakdown of academic impact, for papers by Elmar Wahle Breakdown of academic impact, for papers by Joel G. Belasco
Rankless by CCL
2026