Yoko Hattori

38 total papers · 2.1k total citations
25 papers, 1.5k citations indexed

About

Yoko Hattori is a scholar working on Plant Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Yoko Hattori has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Yoko Hattori's work include Plant responses to water stress (7 papers), Plant Stress Responses and Tolerance (4 papers) and Rice Cultivation and Yield Improvement (3 papers). Yoko Hattori is often cited by papers focused on Plant responses to water stress (7 papers), Plant Stress Responses and Tolerance (4 papers) and Rice Cultivation and Yield Improvement (3 papers). Yoko Hattori collaborates with scholars based in Japan, United States and China. Yoko Hattori's co-authors include Motoyuki Ashikari, Keisuke Nagai, Hidemi Kitano, Makoto Matsuoka, Hitoshi Mori, Hitoshi Sakakibara, Jian Wu, Takashi Matsumoto, Atsushi Yoshimura and Masato Yoshida and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Current Opinion in Plant Biology.

In The Last Decade

Yoko Hattori

23 papers receiving 1.5k citations

Hit Papers

The ethylene response fac... 2009 2026 2014 2020 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Yoko Hattori 1.1k 283 181 104 87 25 1.5k
Kan Liu 660 0.6× 597 2.1× 53 0.3× 212 2.0× 28 0.3× 66 1.6k
Julie Kang 1.4k 1.3× 989 3.5× 26 0.1× 50 0.5× 62 0.7× 42 2.0k
Magnus Hertzberg 1.4k 1.3× 1.5k 5.3× 45 0.2× 221 2.1× 101 1.2× 35 2.2k
Keisuke Nagai 1.6k 1.5× 329 1.2× 211 1.2× 360 3.5× 67 0.8× 46 2.0k
Annabelle Déjardin 1.0k 0.9× 833 2.9× 33 0.2× 28 0.3× 119 1.4× 31 1.6k
Qihui Zhu 582 0.5× 797 2.8× 125 0.7× 281 2.7× 6 0.1× 42 1.3k
Hucheng Wang 421 0.4× 219 0.8× 40 0.2× 331 3.2× 35 0.4× 70 1.4k
Martin Tichý 321 0.3× 1.4k 4.8× 206 1.1× 22 0.2× 67 0.8× 59 1.7k
Hannes Vanhaeren 1.2k 1.1× 920 3.3× 33 0.2× 108 1.0× 35 0.4× 16 1.5k
William H. Rottmann 1.3k 1.2× 1.4k 4.9× 54 0.3× 162 1.6× 10 0.1× 29 2.1k

Countries citing papers authored by Yoko Hattori

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Hattori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Hattori

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