Naoto Uramaru

84 total papers · 1.6k total citations
61 papers, 1.3k citations indexed

About

Naoto Uramaru is a scholar working on Health, Toxicology and Mutagenesis, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Naoto Uramaru has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, Toxicology and Mutagenesis, 18 papers in Organic Chemistry and 11 papers in Molecular Biology. Recurrent topics in Naoto Uramaru's work include Effects and risks of endocrine disrupting chemicals (20 papers), Toxic Organic Pollutants Impact (14 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Naoto Uramaru is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (20 papers), Toxic Organic Pollutants Impact (14 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Naoto Uramaru collaborates with scholars based in Japan, Taiwan and Cambodia. Naoto Uramaru's co-authors include Shigeyuki Kitamura, Kazumi Sugihara, Shigeru Ohta, Hiroyuki Kojima, Shinji Takeuchi, Yoko Watanabe, Seigo Sanoh, Takahiko Yoshida, Hidenari Shigematsu and Kouichi Yoshinari and has published in prestigious journals such as Environmental Science & Technology, Environmental Health Perspectives and Journal of Medicinal Chemistry.

In The Last Decade

Naoto Uramaru

58 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Naoto Uramaru 732 209 204 170 155 61 1.3k
Byung‐Mu Lee 471 0.6× 91 0.4× 314 1.5× 146 0.9× 103 0.7× 65 1.5k
Fumiko Nagai 407 0.6× 92 0.4× 438 2.1× 166 1.0× 175 1.1× 45 1.4k
Miriam N. Jacobs 699 1.0× 67 0.3× 389 1.9× 214 1.3× 207 1.3× 54 1.7k
Jean‐Claude Lhuguenot 619 0.8× 55 0.3× 380 1.9× 184 1.1× 248 1.6× 37 1.5k
Andreas P. Freidig 339 0.5× 85 0.4× 401 2.0× 174 1.0× 209 1.3× 47 1.4k
Itsu Kano 434 0.6× 88 0.4× 389 1.9× 137 0.8× 212 1.4× 37 1.2k
J.M.M.J.G. Aarts 787 1.1× 136 0.7× 666 3.3× 189 1.1× 278 1.8× 58 1.8k
James B. Knaak 485 0.7× 72 0.3× 144 0.7× 396 2.3× 196 1.3× 67 1.7k
Konrad A. Szychowski 335 0.5× 254 1.2× 631 3.1× 128 0.8× 134 0.9× 87 1.7k
Masatoshi Matsuo 412 0.6× 126 0.6× 230 1.1× 228 1.3× 71 0.5× 86 1.1k

Countries citing papers authored by Naoto Uramaru

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Uramaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Uramaru

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