Dai Watanabe

6.1k citations
112 papers · 3.3k · h-index 29

Impact in

Papers in

Dai Watanabe

107 papers receiving 3.2k citations

Peers

Dai Watanabe
Comparison fields: 5 of 147
  • Cellular and Molecular Neuroscience 946
  • Developmental Neuroscience 115
  • Neurology 212
  • Genetics 580
  • Virology 90
Replace Hideo Asada with:
Hideo Asada Japan
Anthony J. Koleske United States
Jochen C. Meier Germany
Victor Faúndez United States
Yuqing Li United States
Elizabeth J. Hong United States
John A. Mercer United States
Nyoman D. Kurniawan Australia
Hung‐Teh Kao United States
Yannick Schwab Germany
Dai Watanabe relative to Hideo Asada Japan Hideo Asada's profile →
Citations per field
00.5×2.6×
Hideo Asada · 1×
Citations per year

Countries citing papers authored by Dai Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Dai Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dai Watanabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dai Watanabe Line = papers co-authored together Dai Watanabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998281
2 2011234
3 2014223
4 2012188
5 2000142
6 1987125
7 2003118
8 2001114
9 2001103
10 200392
11 200182
12 201669
13 200466
14 201764
15 201763
16 201459
17 199658
18 199656
19 195850
20 199547

About Dai Watanabe

Dai Watanabe is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Infectious Diseases, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 112 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Insect and Arachnid Ecology and Behavior (15 papers), HIV/AIDS drug development and treatment (13 papers), HIV Research and Treatment (11 papers), Plant and animal studies (10 papers), Animal Behavior and Reproduction (8 papers), Neurobiology and Insect Physiology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (946 citations), Developmental Neuroscience (115 citations), Neurology (212 citations), Genetics (580 citations) and Virology (90 citations). Dai Watanabe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigetada Nakanishi, Kiyoto Maekawa, Toru Miura, Takatoshi Hikida, Ira Pastan, Ryosuke Matsui, Yasuji Kitabatake, Tadamitsu Kishimoto, Satoshi Tsukada and Yoshihiro Baba. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, BMC Infectious Diseases, Journal of NeuroVirology and Neuroscience Research.

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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