Tsuyoshi Hirota

62 papers receiving 4.0k citations

Peers

Tsuyoshi Hirota
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 2.9k
  • Aging 610
  • Cellular and Molecular Neuroscience 837
  • Physiology 1.1k
  • Plant Science 1.2k
Replace Kazuhiro Shimomura with:
Kazuhiro Shimomura United States
Vivek Kumar United States
Jürgen A. Ripperger Switzerland
Kazuhiro Yagita Japan
Masao Doi Japan
Megumi Hatori United States
Fabienne Fleury-Olela Switzerland
Jean‐Pierre Etchegaray United States
Nicholas Gekakis United States
Francesca Damiola France
Tsuyoshi Hirota relative to Kazuhiro Shimomura United States Kazuhiro Shimomura's profile →
Citations per field
00.5×2.7×
Kazuhiro Shimomura · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Hirota

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Hirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010463
2 2012394
3 2009337
4 2002249
5 2008232
6 2010200
7 2004192
8 2005163
9 2017155
10 2016127
11 2010116
12 2008110
13 200176
14 201870
15 201968
16 201563
17 202063
18 201153
19 201150
20 201448

About Tsuyoshi Hirota

Tsuyoshi Hirota is a scholar working on Endocrine and Autonomic Systems, Plant Science, Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 63 papers that have together received 4.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (51 papers), Light effects on plants (28 papers), Photoreceptor and optogenetics research (19 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Neurobiology and Insect Physiology Research (10 papers), Spaceflight effects on biology (8 papers), Plant Molecular Biology Research (7 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.9k citations), Aging (610 citations), Cellular and Molecular Neuroscience (837 citations), Physiology (1.1k citations) and Plant Science (1.2k citations). Tsuyoshi Hirota has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Steve A. Kay, Yoshitaka Fukada, Andrew C. Liu, Jae Wook Lee, Peter G. Schultz, Eric Erquan Zhang, David A. Brenner, Nobuhiro Kurabayashi, Toshiyuki Okano and Mihoko Sakai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of the American Chemical Society, The Journal of Biochemistry and Cell.

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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