Daiki Matsuda

30 total papers · 1.1k total citations
20 papers, 556 citations indexed

About

Daiki Matsuda is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daiki Matsuda has authored 20 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daiki Matsuda's work include RNA and protein synthesis mechanisms (11 papers), Plant Virus Research Studies (7 papers) and RNA Research and Splicing (5 papers). Daiki Matsuda is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), Plant Virus Research Studies (7 papers) and RNA Research and Splicing (5 papers). Daiki Matsuda collaborates with scholars based in United States, Japan and France. Daiki Matsuda's co-authors include Theo W. Dreher, Vincent P. Mauro, Lynne E. Maquat, Shigeo Yoshinari, Hanae Sato, Jungwook Hwang, Yalan Tang, Nao Hosoda, Yoon Ki Kim and Lisa Bauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and PLoS ONE.

In The Last Decade

Daiki Matsuda

19 papers receiving 553 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daiki Matsuda 361 191 82 81 35 20 556
Monika Sharma 213 0.6× 264 1.4× 53 0.6× 91 1.1× 23 0.7× 15 523
Xavier Danthinne 325 0.9× 178 0.9× 89 1.1× 64 0.8× 50 1.4× 14 579
Yih‐Leh Huang 209 0.6× 252 1.3× 34 0.4× 73 0.9× 60 1.7× 13 547
R. Salomon 312 0.9× 310 1.6× 26 0.3× 71 0.9× 73 2.1× 17 639
Emilio Yángüez 286 0.8× 175 0.9× 71 0.9× 37 0.5× 21 0.6× 20 652
T. Godefroy-Colburn 359 1.0× 311 1.6× 41 0.5× 72 0.9× 101 2.9× 20 642
Yi Xiao Jiang 309 0.9× 313 1.6× 57 0.7× 149 1.8× 46 1.3× 15 663
Winfried Schiebel 289 0.8× 364 1.9× 13 0.2× 88 1.1× 16 0.5× 20 541
Ling-Jie Kong 350 1.0× 480 2.5× 16 0.2× 77 1.0× 30 0.9× 14 691
Eugene V. Sheval 338 0.9× 111 0.6× 127 1.5× 30 0.4× 33 0.9× 32 553

Countries citing papers authored by Daiki Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Matsuda

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

All Works

Loading papers...

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

Rankless by CCL
2026