Mayumi Yonemochi

651 total citations
10 papers, 398 citations indexed

About

Mayumi Yonemochi is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Mayumi Yonemochi has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Organic Chemistry. Recurrent topics in Mayumi Yonemochi's work include RNA and protein synthesis mechanisms (3 papers), RNA regulation and disease (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Mayumi Yonemochi is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA regulation and disease (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Mayumi Yonemochi collaborates with scholars based in Japan, United Kingdom and Malaysia. Mayumi Yonemochi's co-authors include Mikako Shirouzu, Takuhiro Ito, Ayako Sakamoto, Madoka Nishimoto, Kazuhiro Kashiwagi, Mutsuko Kukimoto‐Niino, Takeshi Yokoyama, Chiemi Mishima-Tsumagari, Kam Y. J. Zhang and Kentaro Ihara and has published in prestigious journals such as Science, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Mayumi Yonemochi

10 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayumi Yonemochi Japan 9 257 104 64 41 38 10 398
Adrien Herlédan France 12 260 1.0× 58 0.6× 35 0.5× 38 0.9× 50 1.3× 21 441
Sajid Rashid Pakistan 12 267 1.0× 57 0.5× 21 0.3× 29 0.7× 70 1.8× 43 458
Huiseon Yang South Korea 9 360 1.4× 159 1.5× 58 0.9× 14 0.3× 21 0.6× 12 509
Thomas M. Moon United States 9 435 1.7× 41 0.4× 17 0.3× 27 0.7× 28 0.7× 13 601
Elke Ericson Sweden 13 627 2.4× 45 0.4× 60 0.9× 36 0.9× 19 0.5× 23 854
Raúl Díaz-Molina Mexico 9 170 0.7× 99 1.0× 21 0.3× 24 0.6× 26 0.7× 33 415
Jiho Yoo South Korea 12 374 1.5× 86 0.8× 22 0.3× 12 0.3× 53 1.4× 26 585
Weimei Sun United States 14 493 1.9× 59 0.6× 14 0.2× 22 0.5× 43 1.1× 24 647
Ayako Kita Japan 18 668 2.6× 252 2.4× 83 1.3× 11 0.3× 61 1.6× 43 795
Albert S. Reger United States 13 515 2.0× 35 0.3× 182 2.8× 23 0.6× 38 1.0× 16 610

Countries citing papers authored by Mayumi Yonemochi

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Yonemochi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Yonemochi

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Yonemochi. A scholar is included among the top collaborators of Mayumi Yonemochi 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 Mayumi Yonemochi. Mayumi Yonemochi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kukimoto‐Niino, Mutsuko, Kazushige Katsura, Yoshiko Ishizuka‐Katsura, et al.. (2024). RhoG facilitates a conformational transition in the guanine nucleotide exchange factor complex DOCK5/ELMO1 to an open state. Journal of Biological Chemistry. 300(7). 107459–107459. 1 indexed citations
2.
Kukimoto‐Niino, Mutsuko, Kengo Tsuda, Chiemi Mishima-Tsumagari, et al.. (2023). Targeting Ras-binding domain of ELMO1 by computational nanobody design. Communications Biology. 6(1). 284–284. 8 indexed citations
3.
Dileep, K.V., Kentaro Ihara, Chiemi Mishima-Tsumagari, et al.. (2022). Crystal structure of human acetylcholinesterase in complex with tacrine: Implications for drug discovery. International Journal of Biological Macromolecules. 210. 172–181. 90 indexed citations
4.
Kukimoto‐Niino, Mutsuko, Kazushige Katsura, Rahul Kaushik, et al.. (2021). Cryo-EM structure of the human ELMO1-DOCK5-Rac1 complex. Science Advances. 7(30). 17 indexed citations
5.
Zyryanova, Alisa, Kazuhiro Kashiwagi, Cláudia Rato, et al.. (2020). ISRIB Blunts the Integrated Stress Response by Allosterically Antagonising the Inhibitory Effect of Phosphorylated eIF2 on eIF2B. Molecular Cell. 81(1). 88–103.e6. 113 indexed citations
7.
Kashiwagi, Kazuhiro, Takeshi Yokoyama, Madoka Nishimoto, et al.. (2019). Structural basis for eIF2B inhibition in integrated stress response. Science. 364(6439). 495–499. 77 indexed citations
8.
Yokoyama, Takeshi, Kodai Machida, W. Iwasaki, et al.. (2019). HCV IRES Captures an Actively Translating 80S Ribosome. Molecular Cell. 74(6). 1205–1214.e8. 40 indexed citations
9.
Katsura, Kazushige, Yuri Tomabechi, Takayoshi Matsuda, et al.. (2018). Phosphorylated and non-phosphorylated HCK kinase domains produced by cell-free protein expression. Protein Expression and Purification. 150. 92–99. 9 indexed citations
10.
Katsura, Kazushige, Takayoshi Matsuda, Yuri Tomabechi, et al.. (2017). A reproducible and scalable procedure for preparing bacterial extracts for cell-free protein synthesis. The Journal of Biochemistry. 162(5). 357–369. 33 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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