Naoto Watamura

41 total papers · 659 total citations
19 papers, 365 citations indexed

About

Naoto Watamura is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Naoto Watamura has authored 19 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 9 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Naoto Watamura's work include Alzheimer's disease research and treatments (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Naoto Watamura is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Naoto Watamura collaborates with scholars based in Japan, United Kingdom and Sweden. Naoto Watamura's co-authors include Toshio Ohshima, Takaomi C. Saido, Takashi Saito, Shoko Hashimoto, Kaori Sato, Naoko Kamano, Hiroki Sasaguri, Takafumi Inoue, Per Nilsson and Kenichi Nagata and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Naoto Watamura

17 papers receiving 361 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 Watamura 228 136 99 89 49 19 365
Hariharakrishnan Chidambaram 222 1.0× 168 1.2× 135 1.4× 59 0.7× 49 1.0× 19 382
Agnieszka Falinska 215 0.9× 113 0.8× 121 1.2× 95 1.1× 69 1.4× 9 366
Sarah Gourmaud 181 0.8× 137 1.0× 68 0.7× 111 1.2× 52 1.1× 11 383
Krishna Bharani 198 0.9× 111 0.8× 80 0.8× 73 0.8× 67 1.4× 13 394
Lindsay A. Welikovitch 238 1.0× 137 1.0× 108 1.1× 81 0.9× 51 1.0× 16 397
Kristie Stefanoska 189 0.8× 164 1.2× 71 0.7× 116 1.3× 56 1.1× 11 353
Vanessa De Castro 186 0.8× 81 0.6× 84 0.8× 110 1.2× 41 0.8× 17 355
Noralyn B. Mañucat‐Tan 147 0.6× 100 0.7× 67 0.7× 72 0.8× 30 0.6× 12 308
Hameetha B. Rajamohamedsait 229 1.0× 87 0.6× 126 1.3× 114 1.3× 57 1.2× 12 329
Eleanor K. Pickett 225 1.0× 132 1.0× 82 0.8× 152 1.7× 50 1.0× 8 353

Countries citing papers authored by Naoto Watamura

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Watamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Watamura

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