Yutaro Mori

173 total papers · 3.4k total citations
91 papers, 2.4k citations indexed

About

Yutaro Mori is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Nephrology. According to data from OpenAlex, Yutaro Mori has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Nephrology. Recurrent topics in Yutaro Mori's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (9 papers) and Ion Transport and Channel Regulation (9 papers). Yutaro Mori is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (9 papers) and Ion Transport and Channel Regulation (9 papers). Yutaro Mori collaborates with scholars based in Japan, United States and Singapore. Yutaro Mori's co-authors include Takayuki Enomoto, Kosuke Yoshihara, Shuhei Noda, Kaoru Yamawaki, Shinichi Uchida, Eisei Sohara, Takayasu Mori, Tatsuya Ishiguro, Tatemitsu Rai and Ryo Tamura and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yutaro Mori

81 papers receiving 2.4k citations

Hit Papers

Clonal Expansion and Dive... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yutaro Mori 1.1k 381 344 265 256 91 2.4k
Harmeet Singh 1.4k 1.3× 105 0.3× 312 0.9× 431 1.6× 679 2.7× 92 2.7k
Amir Mehdizadeh 957 0.9× 75 0.2× 297 0.9× 214 0.8× 493 1.9× 130 2.3k
Xiaoyan Zhou 1.1k 1.0× 158 0.4× 78 0.2× 69 0.3× 198 0.8× 119 2.5k
Dan Zhao 1.2k 1.0× 180 0.5× 123 0.4× 70 0.3× 386 1.5× 114 2.3k
Tao Lin 1.3k 1.2× 70 0.2× 294 0.9× 51 0.2× 304 1.2× 153 3.0k
Sophie Doublier 791 0.7× 765 2.0× 52 0.2× 76 0.3× 218 0.9× 46 2.3k
Qiwei Yang 1.3k 1.2× 78 0.2× 844 2.5× 941 3.6× 200 0.8× 117 3.1k
Maria P. Yavropoulou 956 0.9× 223 0.6× 140 0.4× 21 0.1× 85 0.3× 149 2.4k
Jiawei Shi 405 0.4× 59 0.2× 184 0.5× 187 0.7× 391 1.5× 99 1.6k
Qing Song 1.1k 1.0× 31 0.1× 119 0.3× 113 0.4× 187 0.7× 95 2.6k

Countries citing papers authored by Yutaro Mori

Since Specialization
Citations

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

Fields of papers citing papers by Yutaro Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaro Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaro Mori. A scholar is included among the top collaborators of Yutaro Mori 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 Yutaro Mori. Yutaro Mori 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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