Tomoko Ohyama

3.8k total citations · 1 hit paper
40 papers, 2.5k citations indexed

About

Tomoko Ohyama is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Tomoko Ohyama has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Tomoko Ohyama's work include Neurobiology and Insect Physiology Research (16 papers), Photoreceptor and optogenetics research (5 papers) and Physiological and biochemical adaptations (5 papers). Tomoko Ohyama is often cited by papers focused on Neurobiology and Insect Physiology Research (16 papers), Photoreceptor and optogenetics research (5 papers) and Physiological and biochemical adaptations (5 papers). Tomoko Ohyama collaborates with scholars based in United States, Japan and Canada. Tomoko Ohyama's co-authors include Marta Zlatic, Hugo J. Bellen, Patrik Verstreken, James R. Lupski, James W. Truman, Mehrdad Khajavi, Ken Inoue, Cindy V. Ly, Rex Kerr and Claire Haueter and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tomoko Ohyama

39 papers receiving 2.5k citations

Hit Papers

A multilevel multimodal circuit enhances action selection... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Ohyama United States 23 1.2k 1.0k 510 497 281 40 2.5k
Richard A. Baines United Kingdom 31 2.1k 1.7× 1.5k 1.4× 434 0.9× 478 1.0× 220 0.8× 99 3.2k
Alberto Pascual Spain 22 961 0.8× 734 0.7× 195 0.4× 536 1.1× 289 1.0× 47 2.3k
Matthias Landgraf United Kingdom 27 1.9k 1.5× 1.1k 1.1× 480 0.9× 502 1.0× 117 0.4× 48 2.7k
Maximiliano L. Suster Japan 20 629 0.5× 1.1k 1.1× 795 1.6× 562 1.1× 142 0.5× 22 2.1k
Joel C. Glover Norway 33 1.1k 0.9× 1.5k 1.4× 700 1.4× 230 0.5× 241 0.9× 122 3.2k
Maria Del Vecchio Italy 15 1.7k 1.3× 822 0.8× 201 0.4× 390 0.8× 654 2.3× 29 2.5k
Daisuke Hattori United States 11 1.5k 1.2× 1.7k 1.7× 289 0.6× 1.1k 2.2× 412 1.5× 13 3.1k
Wesley B. Grueber United States 25 1.9k 1.5× 1.3k 1.3× 722 1.4× 352 0.7× 122 0.4× 41 3.1k
Carolin Wichmann Germany 30 2.3k 1.8× 1.9k 1.8× 1.4k 2.8× 319 0.6× 396 1.4× 53 3.8k
Manfred Heckmann Germany 26 1.9k 1.5× 1.5k 1.4× 915 1.8× 214 0.4× 172 0.6× 65 2.9k

Countries citing papers authored by Tomoko Ohyama

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Ohyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Ohyama

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Ohyama. A scholar is included among the top collaborators of Tomoko Ohyama 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 Tomoko Ohyama. Tomoko Ohyama 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
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Zhu, Jiayi, et al.. (2023). Nociception in fruit fly larvae. SHILAP Revista de lepidopterología. 4. 1076017–1076017. 6 indexed citations
4.
Eschbach, Claire, Akira Fushiki, Michael Winding, et al.. (2020). Recurrent architecture for adaptive regulation of learning in the insect brain. Nature Neuroscience. 23(4). 544–555. 89 indexed citations
5.
Honjo, Ken, Tomoko Ohyama, Daryl M. Gohl, et al.. (2018). Nociceptive interneurons control modular motor pathways to promote escape behavior in Drosophila. eLife. 7. 72 indexed citations
6.
Sun, Yi, Hod Dana, Chao-Tsung Yang, et al.. (2015). Labeling of active neural circuits in vivo with designed calcium integrators. Science. 347(6223). 755–760. 312 indexed citations
7.
Kohsaka, Hiroshi, et al.. (2015). Identification of Inhibitory Premotor Interneurons Activated at a Late Phase in a Motor Cycle during Drosophila Larval Locomotion. PLoS ONE. 10(9). e0136660–e0136660. 33 indexed citations
8.
Vogelstein, Joshua T, Youngser Park, Tomoko Ohyama, et al.. (2014). Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning. Science. 344(6182). 386–392. 147 indexed citations
9.
Ohyama, Tomoko, Tihana Jovanic, Gennady Denisov, et al.. (2013). High-Throughput Analysis of Stimulus-Evoked Behaviors in Drosophila Larva Reveals Multiple Modality-Specific Escape Strategies. PLoS ONE. 8(8). e71706–e71706. 78 indexed citations
10.
Wu, Zhuhao, Lora B. Sweeney, Joseph C. Ayoob, et al.. (2011). A Combinatorial Semaphorin Code Instructs the Initial Steps of Sensory Circuit Assembly in the Drosophila CNS. Neuron. 70(2). 281–298. 69 indexed citations
11.
Tong, Chao, Tomoko Ohyama, An‐Chi Tien, et al.. (2011). Rich Regulates Target Specificity of Photoreceptor Cells and N-Cadherin Trafficking in the Drosophila Visual System via Rab6. Neuron. 71(3). 447–459. 31 indexed citations
12.
Yao, Chi‐Kuang, Yong Lin, Cindy V. Ly, et al.. (2009). A Synaptic Vesicle-Associated Ca2+ Channel Promotes Endocytosis and Couples Exocytosis to Endocytosis. Cell. 138(5). 947–960. 116 indexed citations
13.
Ohyama, Tomoko, et al.. (2007). Translation of SOX10 3' untranslated region causes a complex severe neurocristopathy by generation of a deleterious functional domain. Human Molecular Genetics. 16(24). 3037–3046. 27 indexed citations
14.
Bi, Weimin, Tomoko Ohyama, Hisashi Nakamura, et al.. (2005). Inactivation of Rai1 in mice recapitulates phenotypes observed in chromosome engineered mouse models for Smith–Magenis syndrome. Human Molecular Genetics. 14(8). 983–995. 73 indexed citations
15.
Ohyama, Tomoko, Koichi Matsuda, Shigeko Fujimoto Sakata, et al.. (2004). Purification and expression of a processing protease on β‐alanine‐oxoglutarate aminotransferase from rat liver mitochondria. FEBS Letters. 572(1-3). 251–255. 1 indexed citations
16.
Kubota, Hirokazu, et al.. (2003). The Influence of Various Carbohydrates on the Feeding Pattern of Rats Fed Zinc-Deficient Diets. Journal of Nutritional Science and Vitaminology. 49(4). 228–233. 4 indexed citations
17.
Itō, Satoshi, et al.. (2001). Influence of Dietary Protein Levels on .BETA.-Alanine Aminotransferase Expression and Activity in Rats.. Journal of Nutritional Science and Vitaminology. 47(4). 275–282. 12 indexed citations
18.
Mauk, Michael D., Javier F. Medina, William L. Nores, & Tomoko Ohyama. (2000). Cerebellar function: Coordination, learning or timing?. Current Biology. 10(14). R522–R525. 136 indexed citations
19.
Kontani, Yasuhide, Shigeko Fujimoto Sakata, Koichi Matsuda, et al.. (1999). The mature size of rat 4‐aminobutyrate aminotransferase is different in liver and brain. European Journal of Biochemistry. 264(1). 218–222. 10 indexed citations
20.
Ohyama, Tomoko, Li Yin, Teruhiro Utsugi, et al.. (1999). A Dual Topoisomerase Inhibitor, TAS‐103, Induces Apoptosis in Human Cancer Cells. Japanese Journal of Cancer Research. 90(6). 691–698. 13 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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