Tetsuya Kimura

5.4k citations
137 papers · 4.0k · h-index 35

Impact in

Papers in

Tetsuya Kimura

130 papers receiving 3.9k citations

Peers

Tetsuya Kimura
Comparison fields: 5 of 138
  • Virology 319
  • Cellular and Molecular Neuroscience 1.0k
  • Sensory Systems 218
  • Biological Psychiatry 81
  • Plant Science 1.2k
Replace Juan Orellana with:
Juan Orellana Chile
Beth J. Hoffman United States
Atsushi Saito Japan
Neil S. Millar United Kingdom
Irina Vetter Australia
Iekhsan Othman Malaysia
Zheng Zhou China
Jan Tytgat Belgium
J. Craig Venter United States
Michel Detheux Belgium
Tetsuya Kimura relative to Juan Orellana Chile Juan Orellana's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuya Kimura, 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 Tetsuya Kimura Line = papers co-authored together Tetsuya Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013236
2 2001162
3 2002148
4 2007137
5 2002132
6 2007125
7 2002123
8 2008117
9 199495
10 201592
11 200288
12 200887
13 200684
14 199874
15 201072
16 200768
17 200165
18 200464
19 200762
20 199760

About Tetsuya Kimura

Tetsuya Kimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 137 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Plant Reproductive Biology (18 papers), Plant Physiology and Cultivation Studies (17 papers), Alzheimer's disease research and treatments (16 papers), Neuroscience and Neuropharmacology Research (15 papers), Olfactory and Sensory Function Studies (12 papers), Plant Pathogens and Fungal Diseases (10 papers) and Horticultural and Viticultural Research (9 papers). The work is most often cited by research in Virology (319 citations), Cellular and Molecular Neuroscience (1.0k citations), Sensory Systems (218 citations), Biological Psychiatry (81 citations) and Plant Science (1.2k citations). Tetsuya Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tateki Hayashi, Akihiko Takashima, N. Matsuta, K. Kotobuki, Takatsugu Yamamoto, Toshiya Yamamoto, Y. Ban, Miyuki Murayama, Yuji Yoshiike and Y. Sawamura. Their work appears in journals such as Breeding Science, Journal of Biological Chemistry, PLoS ONE, Learning & Memory and AIDS Research and Human Retroviruses.

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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