Takashi Morii

467 total papers · 5.7k total citations
264 papers, 4.2k citations indexed

About

Takashi Morii is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Parasitology. According to data from OpenAlex, Takashi Morii has authored 264 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 37 papers in Nuclear and High Energy Physics and 23 papers in Parasitology. Recurrent topics in Takashi Morii's work include DNA and Nucleic Acid Chemistry (68 papers), Advanced biosensing and bioanalysis techniques (67 papers) and RNA and protein synthesis mechanisms (38 papers). Takashi Morii is often cited by papers focused on DNA and Nucleic Acid Chemistry (68 papers), Advanced biosensing and bioanalysis techniques (67 papers) and RNA and protein synthesis mechanisms (38 papers). Takashi Morii collaborates with scholars based in Japan, United States and United Kingdom. Takashi Morii's co-authors include Eiji Nakata, Yasuo Mori, Keisuke Makino, Masayuki Saimura, Jacqueline K. Barton, Shun Nakano, Tien Anh Ngo, Anna Marie Pyle, Yukio Sugiura and Huyen Dinh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Takashi Morii

251 papers receiving 4.1k citations

Author Peers

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

Author Last Decade Papers Cites
Takashi Morii 2.3k 404 394 394 366 264 4.2k
Arthur S. Edison 3.6k 1.6× 370 0.9× 267 0.7× 450 1.1× 469 1.3× 154 6.2k
Mehdi Mobli 2.8k 1.2× 410 1.0× 467 1.2× 87 0.2× 205 0.6× 124 4.6k
W. Namkung 2.2k 1.0× 200 0.5× 460 1.2× 230 0.6× 379 1.0× 215 4.9k
Robert E. London 5.5k 2.4× 379 0.9× 569 1.4× 157 0.4× 1.0k 2.9× 275 9.5k
Sebastian Hiller 5.3k 2.3× 321 0.8× 150 0.4× 145 0.4× 718 2.0× 148 6.9k
Marco Tonelli 4.1k 1.8× 235 0.6× 152 0.4× 156 0.4× 654 1.8× 143 5.9k
Donald C. Chang 3.3k 1.4× 394 1.0× 151 0.4× 1.1k 2.8× 152 0.4× 133 6.5k
N. Rama Krishna 2.4k 1.0× 207 0.5× 513 1.3× 94 0.2× 340 0.9× 127 3.9k
Kiaran Kirk 3.2k 1.4× 188 0.5× 543 1.4× 92 0.2× 126 0.3× 196 9.0k
Masaaki Yoshida 1.2k 0.5× 64 0.2× 91 0.2× 184 0.5× 151 0.4× 245 4.0k

Countries citing papers authored by Takashi Morii

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Morii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Morii

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

All Works

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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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