Jun Tomita

1.9k total citations
29 papers, 1.1k citations indexed

About

Jun Tomita is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Plant Science. According to data from OpenAlex, Jun Tomita has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 14 papers in Endocrine and Autonomic Systems and 9 papers in Plant Science. Recurrent topics in Jun Tomita's work include Neurobiology and Insect Physiology Research (17 papers), Circadian rhythm and melatonin (14 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Jun Tomita is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Circadian rhythm and melatonin (14 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Jun Tomita collaborates with scholars based in Japan, Germany and United States. Jun Tomita's co-authors include Hideo Iwasaki, Takao Kondo, Kazuhiko Kume, Masato Nakajima, Taro Ueno, Shoen Kume, Hiromu Tanimoto, Kei Ito, Keita Endo and Chieko Sugita and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Jun Tomita

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Tomita Japan 14 586 562 382 307 154 29 1.1k
Katsuhiko Sakamoto Japan 23 982 1.7× 1.4k 2.4× 607 1.6× 296 1.0× 120 0.8× 72 2.1k
Ximing Qin China 14 304 0.5× 706 1.3× 649 1.7× 467 1.5× 34 0.2× 27 1.3k
Yoriko Murayama Japan 7 438 0.7× 696 1.2× 775 2.0× 568 1.9× 34 0.2× 7 1.3k
Wolfgang Engelmann Germany 21 477 0.8× 663 1.2× 208 0.5× 526 1.7× 118 0.8× 83 1.2k
Utham K. Valekunja United Kingdom 10 186 0.3× 769 1.4× 462 1.2× 322 1.0× 39 0.3× 14 1.3k
Carol R. Andersson United States 11 344 0.6× 713 1.3× 1.1k 2.9× 1.1k 3.7× 84 0.5× 13 2.0k
Bridget C. Lear United States 15 920 1.6× 710 1.3× 291 0.8× 238 0.8× 174 1.1× 20 1.2k
Janet S. Duerr United States 15 700 1.2× 528 0.9× 651 1.7× 91 0.3× 122 0.8× 23 1.8k
Miri K. VanHoven United States 9 620 1.1× 346 0.6× 509 1.3× 41 0.1× 151 1.0× 13 1.3k
Mathias F. Wernet United States 20 1.0k 1.8× 235 0.4× 941 2.5× 112 0.4× 358 2.3× 35 1.7k

Countries citing papers authored by Jun Tomita

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tomita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tomita

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tomita. A scholar is included among the top collaborators of Jun Tomita 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 Jun Tomita. Jun Tomita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tomita, Jun, et al.. (2025). The effect of L-alanine on sleep through taste properties in Drosophila melanogaster. Neuroscience Research. 218. 104924–104924.
2.
Nakagawa, Hiroyuki, et al.. (2024). Preference of position in the proximity of various sugars revealed by location analysis of Drosophila melanogaster. Scientific Reports. 14(1). 11285–11285. 1 indexed citations
3.
Tomita, Jun, et al.. (2023). A phosphorylation-deficient mutant of Sik3, a homolog of Sleepy, alters circadian sleep regulation by PDF neurons in Drosophila. Frontiers in Neuroscience. 17. 1181555–1181555. 3 indexed citations
4.
Tomita, Jun, et al.. (2022). The regulation of circadian rhythm by insulin signaling in Drosophila. Neuroscience Research. 183. 76–83. 6 indexed citations
5.
Yamashita, Yüko, et al.. (2022). rdgB knockdown in neurons reduced nocturnal sleep in Drosophila melanogaster. Biochemical and Biophysical Research Communications. 643. 24–29. 4 indexed citations
6.
Tomita, Jun, et al.. (2022). Interneurons of fan-shaped body promote arousal in Drosophila. PLoS ONE. 17(11). e0277918–e0277918. 4 indexed citations
7.
Tomita, Jun, et al.. (2021). Protocerebral Bridge Neurons That Regulate Sleep in Drosophila melanogaster. Frontiers in Neuroscience. 15. 647117–647117. 11 indexed citations
8.
Nakagawa, Hiroyuki, et al.. (2021). Effects of D-amino acids on sleep in Drosophila. Biochemical and Biophysical Research Communications. 589. 180–185. 8 indexed citations
9.
Tomita, Jun, et al.. (2021). Insulin signaling in clock neurons regulates sleep in Drosophila. Biochemical and Biophysical Research Communications. 591. 44–49. 14 indexed citations
10.
Hirayama, Jun, Jun Tomita, Yusuke Maruyama, et al.. (2019). The clock components Period2, Cryptochrome1a, and Cryptochrome2a function in establishing light-dependent behavioral rhythms and/or total activity levels in zebrafish. Scientific Reports. 9(1). 196–196. 20 indexed citations
11.
Muranaka, Tomoaki, et al.. (2018). Time from Semiosis: E-series Time for Living Systems. Biosemiotics. 11(1). 65–83. 7 indexed citations
12.
Tomita, Jun, et al.. (2017). Genes and neural circuits for sleep of the fruit fly. Neuroscience Research. 118. 82–91. 37 indexed citations
13.
Hasegawa, Tatsuya, et al.. (2017). Sweetness induces sleep through gustatory signalling independent of nutritional value in a starved fruit fly. Scientific Reports. 7(1). 14355–14355. 18 indexed citations
14.
Tomita, Jun, et al.. (2015). The NMDA Receptor Promotes Sleep in the Fruit Fly, Drosophila melanogaster. PLoS ONE. 10(5). e0128101–e0128101. 53 indexed citations
15.
Tomita, Jun, et al.. (2015). The initiation of nocturnal dormancy in Synechococcus as an active process. BMC Biology. 13(1). 36–36. 14 indexed citations
16.
Ueno, Taro, et al.. (2013). Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children. BMC Psychiatry. 13(1). 281–281. 10 indexed citations
17.
Tomita, Jun, et al.. (2011). High calorie diet augments age-associats sleep impairment in Drosophila. Biochemical and Biophysical Research Communications. 417(2). 812–816. 25 indexed citations
18.
Tomita, Jun, Taro Ueno, Yoshinori Aso, et al.. (2011). Pan-Neuronal Knockdown of Calcineurin Reduces Sleep in the Fruit Fly,Drosophila melanogaster. Journal of Neuroscience. 31(37). 13137–13146. 40 indexed citations
19.
Ito, Hiroshi, Michinori Mutsuda, Yoriko Murayama, et al.. (2009). Cyanobacterial daily life with Kai-based circadian and diurnal genome-wide transcriptional control in Synechococcus elongatus. Proceedings of the National Academy of Sciences. 106(33). 14168–14173. 144 indexed citations
20.
Tomita, Jun, Masato Nakajima, Takao Kondo, & Hideo Iwasaki. (2004). No Transcription-Translation Feedback in Circadian Rhythm of KaiC Phosphorylation. Science. 307(5707). 251–254. 362 indexed citations

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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