Tomoe Ishikawa

876 total citations
32 papers, 501 citations indexed

About

Tomoe Ishikawa is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Tomoe Ishikawa has authored 32 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 15 papers in Cognitive Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Tomoe Ishikawa's work include Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (13 papers) and Photoreceptor and optogenetics research (5 papers). Tomoe Ishikawa is often cited by papers focused on Neural dynamics and brain function (13 papers), Neuroscience and Neuropharmacology Research (13 papers) and Photoreceptor and optogenetics research (5 papers). Tomoe Ishikawa collaborates with scholars based in Japan, United States and Taiwan. Tomoe Ishikawa's co-authors include Yuji Ikegaya, Hiroaki Norimoto, Takuya Sasaki, Kazuki Okamoto, Kiyomi Koizumi, Chandler McC. Brooks, Norio Matsuki, Yu Shikano, Kenichi Makino and Mengxuan Gao and has published in prestigious journals such as Science, Cell and PLoS ONE.

In The Last Decade

Tomoe Ishikawa

29 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoe Ishikawa Japan 12 283 258 58 55 54 32 501
Sima Mofakham United States 11 529 1.9× 337 1.3× 35 0.6× 16 0.3× 72 1.3× 31 801
Alby Richard Canada 8 306 1.1× 207 0.8× 27 0.5× 33 0.6× 39 0.7× 15 407
Michele Ferrante United States 11 304 1.1× 250 1.0× 39 0.7× 13 0.2× 67 1.2× 18 524
Andrew E. Hudson United States 11 304 1.1× 157 0.6× 33 0.6× 16 0.3× 37 0.7× 18 554
Christophe C. Jouny United States 19 931 3.3× 236 0.9× 29 0.5× 123 2.2× 65 1.2× 28 1.2k
Heidemarie Gast Switzerland 15 365 1.3× 91 0.4× 27 0.5× 94 1.7× 55 1.0× 35 550
Arjun R. Khanna United States 6 811 2.9× 147 0.6× 71 1.2× 18 0.3× 121 2.2× 6 1.1k
Manuel Schröter Switzerland 13 838 3.0× 274 1.1× 17 0.3× 60 1.1× 56 1.0× 23 1.0k
Pedro A. Valdés-Hernández United States 11 559 2.0× 91 0.4× 44 0.8× 15 0.3× 30 0.6× 35 886
Rachel A. Mak-McCully United States 7 502 1.8× 176 0.7× 29 0.5× 41 0.7× 11 0.2× 7 619

Countries citing papers authored by Tomoe Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tomoe Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoe Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoe Ishikawa. A scholar is included among the top collaborators of Tomoe Ishikawa 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 Tomoe Ishikawa. Tomoe Ishikawa 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.
Ishikawa, Tomoe, Hyeseung Lee, Byeongjun Lee, et al.. (2025). Brain-wide mapping of immune receptors uncovers a neuromodulatory role of IL-17E and the receptor IL-17RB. Cell. 188(8). 2203–2217.e17. 10 indexed citations
2.
Kwon, Jeong-Tae, Mengyang Feng, Xiaoying Zhang, et al.. (2025). Inflammatory and anti-inflammatory cytokines bidirectionally modulate amygdala circuits regulating anxiety. Cell. 188(8). 2190–2202.e15. 14 indexed citations
3.
Ishikawa, Tomoe & Masato Yasui. (2021). [Water Transportation During Cerebral Edema Formation and Aquaporin-4].. PubMed. 73(9). 983–989. 1 indexed citations
4.
Ishikawa, Tomoe, Chiaki Kobayashi, Naoya Takahashi, & Yuji Ikegaya. (2020). Functional Multiple-Spine Calcium Imaging from Brain Slices. STAR Protocols. 1(3). 100121–100121.
5.
Shinomoto, Shigeru, Miki Hashizume, Tomoe Ishikawa, et al.. (2020). Improved hyperacuity estimation of spike timing from calcium imaging. Scientific Reports. 10(1). 17844–17844. 11 indexed citations
6.
Norimoto, Hiroaki, Kenichi Makino, Mengxuan Gao, et al.. (2018). Hippocampal ripples down-regulate synapses. Science. 359(6383). 1524–1527. 163 indexed citations
7.
Kobayashi, Chiaki, Kazuki Okamoto, Yasuhiro Mochizuki, et al.. (2018). GABAergic inhibition reduces the impact of synaptic excitation on somatic excitation. Neuroscience Research. 146. 22–35. 3 indexed citations
8.
Takahashi, Naoya, Chiaki Kobayashi, Tomoe Ishikawa, & Yuji Ikegaya. (2016). Subcellular Imbalances in Synaptic Activity. Cell Reports. 14(6). 1348–1354. 4 indexed citations
9.
Okada, Mami, Tomoe Ishikawa, & Yuji Ikegaya. (2016). A Computationally Efficient Filter for Reducing Shot Noise in Low S/N Data. PLoS ONE. 11(6). e0157595–e0157595. 14 indexed citations
10.
Kobayashi, Chiaki, et al.. (2015). Accurate detection of low signal-to-noise ratio neuronal calcium transient waves using a matched filter. Journal of Neuroscience Methods. 259. 1–12. 11 indexed citations
11.
Shimazaki, Hideaki, et al.. (2015). Simultaneous silence organizes structured higher-order interactions in neural populations. Scientific Reports. 5(1). 14893–14893. 24 indexed citations
12.
Norimoto, Hiroaki, et al.. (2014). Dopamine Receptor Activation Reorganizes Neuronal Ensembles during Hippocampal Sharp Waves In Vitro. PLoS ONE. 9(8). e104438–e104438. 27 indexed citations
13.
Nakae, Ken, Yuji Ikegaya, Tomoe Ishikawa, et al.. (2014). A Statistical Method of Identifying Interactions in Neuron–Glia Systems Based on Functional Multicell Ca2+ Imaging. PLoS Computational Biology. 10(11). e1003949–e1003949. 6 indexed citations
14.
Okamoto, Kazuki, Tomoe Ishikawa, Daisuke Ishikawa, et al.. (2014). Ex vivo cultured neuronal networks emit in vivo-like spontaneous activity. The Journal of Physiological Sciences. 64(6). 421–431. 18 indexed citations
15.
Matsumoto, Koki, Tomoe Ishikawa, Norio Matsuki, & Yuji Ikegaya. (2013). Multineuronal spike sequences repeat with millisecond precision. Frontiers in Neural Circuits. 7. 112–112. 10 indexed citations
16.
Hosoda, Yasuhiro, et al.. (2001). Lightning injury as a blast injury of skull, brain, and visceral lesions: clinical and experimental evidences.. The Keio Journal of Medicine. 50(4). 257–262. 11 indexed citations
17.
Kitagawa, N., et al.. (1996). LIGHTNING INJURIES CAUSED BY MULTI-STRIKE-POINT THUNDERBOLTS. Journal of Atmospheric Electricity. 16(2). 105–111. 1 indexed citations
18.
Kitagawa, N., Masaharu Ohashi, & Tomoe Ishikawa. (1990). SAFETY GUIDE AGAINST LIGHTNING HAZARDS. Journal of Atmospheric Electricity. 10(1). 37–44. 4 indexed citations
19.
20.
Kitagawa, N., et al.. (1973). Discharge experiments using dummies and rabbits simulating lightning strokes on human bodies. International Journal of Biometeorology. 17(3). 239–241. 7 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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