Emi Kumamaru

1.9k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Emi Kumamaru is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Emi Kumamaru has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 4 papers in Developmental Neuroscience. Recurrent topics in Emi Kumamaru's work include Neuroscience and Neuropharmacology Research (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). Emi Kumamaru is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). Emi Kumamaru collaborates with scholars based in Japan and United States. Emi Kumamaru's co-authors include Hiroshi Kunugi, Tadahiro Numakawa, Naoki Adachi, Shingo Suzuki, Yuki Yagasaki, Aiko Izumi, Motoshige Kudo, Hiroya Mizuno, Midori Ninomiya and Kazuo Hashido and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Emi Kumamaru

18 papers receiving 1.4k citations

Hit Papers

BDNF function and intracellular signaling in neurons. 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emi Kumamaru Japan 13 570 543 315 238 181 18 1.4k
Floriana Volpicelli Italy 24 847 1.5× 732 1.3× 296 0.9× 112 0.5× 278 1.5× 44 2.1k
Qi‐Gang Zhou China 15 475 0.8× 399 0.7× 204 0.6× 190 0.8× 235 1.3× 19 1.1k
Graciano Leal Portugal 8 608 1.1× 378 0.7× 301 1.0× 132 0.6× 214 1.2× 8 1.3k
Shu-Ji Li China 22 504 0.9× 590 1.1× 208 0.7× 250 1.1× 205 1.1× 31 1.7k
Luisa Speranza Italy 12 491 0.9× 390 0.7× 159 0.5× 98 0.4× 195 1.1× 22 1.3k
Juan Ji An United States 19 886 1.6× 666 1.2× 411 1.3× 111 0.5× 327 1.8× 26 1.9k
Qi‐Xin Zhou China 23 459 0.8× 433 0.8× 104 0.3× 205 0.9× 143 0.8× 71 1.4k
Alexandria Tartt United States 2 341 0.6× 322 0.6× 615 2.0× 126 0.5× 171 0.9× 4 1.2k
Yi-Ling Yang Taiwan 18 294 0.5× 390 0.7× 130 0.4× 196 0.8× 123 0.7× 30 1.2k

Countries citing papers authored by Emi Kumamaru

Since Specialization
Citations

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

Fields of papers citing papers by Emi Kumamaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emi Kumamaru

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

All Works

18 of 18 papers shown
1.
Kumamaru, Emi, et al.. (2014). Valproic acid selectively suppresses the formation of inhibitory synapses in cultured cortical neurons. Neuroscience Letters. 569. 142–147. 29 indexed citations
2.
Adachi, Naoki, Tadahiro Numakawa, Emi Kumamaru, et al.. (2012). Phencyclidine-Induced Decrease of Synaptic Connectivity via Inhibition of BDNF Secretion in Cultured Cortical Neurons. Cerebral Cortex. 23(4). 847–858. 31 indexed citations
3.
Kumamaru, Emi, Tadahiro Numakawa, Naoki Adachi, & Hiroshi Kunugi. (2011). Glucocorticoid suppresses BDNF-stimulated MAPK/ERK pathway via inhibiting interaction of Shp2 with TrkB. FEBS Letters. 585(20). 3224–3228. 71 indexed citations
4.
Numakawa, Tadahiro, et al.. (2010). Cyclophosphamide promotes cell survival via activation of intracellular signaling in cultured cortical neurons. Neuroscience Letters. 470(2). 139–144. 10 indexed citations
5.
Numakawa, Tadahiro, et al.. (2010). BDNF function and intracellular signaling in neurons.. PubMed. 25(2). 237–58. 503 indexed citations breakdown →
6.
Numakawa, Tadahiro, Emi Kumamaru, Naoki Adachi, et al.. (2009). Glucocorticoid receptor interaction with TrkB promotes BDNF-triggered PLC-γ signaling for glutamate release via a glutamate transporter. Proceedings of the National Academy of Sciences. 106(2). 647–652. 173 indexed citations
7.
Numakawa, Tadahiro, Emi Kumamaru, Naoki Adachi, et al.. (2009). Glucocorticoid attenuates brain-derived neurotrophic factor-dependent upregulation of glutamate receptors via the suppression of microRNA-132 expression. Neuroscience. 165(4). 1301–1311. 162 indexed citations
9.
Numakawa, Tadahiro, et al.. (2007). MCI‐186 prevents brain tissue from neuronal damage in cerebral infarction through the activation of intracellular signaling. Journal of Neuroscience Research. 85(13). 2933–2942. 15 indexed citations
11.
Yagasaki, Yuki, Tadahiro Numakawa, Emi Kumamaru, et al.. (2006). Chronic Antidepressants Potentiate via Sigma-1 Receptors the Brain-derived Neurotrophic Factor-induced Signaling for Glutamate Release. Journal of Biological Chemistry. 281(18). 12941–12949. 106 indexed citations
12.
Numakawa, Yumiko, Tadahiro Numakawa, Tomoya Matsumoto, et al.. (2006). Vitamin E protected cultured cortical neurons from oxidative stress‐induced cell death through the activation of mitogen‐activated protein kinase and phosphatidylinositol 3‐kinase. Journal of Neurochemistry. 97(4). 1191–1202. 89 indexed citations
13.
Hashimoto, Ryota, Satoko Hattori, Yuki Yagasaki, et al.. (2006). Susceptibility genes for schizophrenia. Psychiatry and Clinical Neurosciences. 60(s1). 11 indexed citations
14.
Kumamaru, Emi, Che‐Hui Kuo, Takahiro Fujimoto, et al.. (2004). Reticulon3 expression in rat optic and olfactory systems. Neuroscience Letters. 356(1). 17–20. 19 indexed citations
15.
Fujimoto, Takahiro, Hidekazu Tanaka, Emi Kumamaru, Ko Okamura, & Naomasa Miki. (2004). Arc interacts with microtubules/microtubule‐associated protein 2 and attenuates microtubule‐associated protein 2 immunoreactivity in the dendrites. Journal of Neuroscience Research. 76(1). 51–63. 58 indexed citations
16.
Gan, Yehua, Eiichi Taira, Yasuyuki Irie, et al.. (2001). Amida Predominantly Expressed and Developmentally Regulated in Rat Testis. Biochemical and Biophysical Research Communications. 288(2). 407–412. 5 indexed citations
17.
Sadakata, Tetsushi, Che‐Hui Kuo, Hisashi Ichikawa, et al.. (2000). Purα, a single-stranded DNA binding protein, suppresses the enhancer activity of cAMP response element (CRE). Molecular Brain Research. 77(1). 47–54. 10 indexed citations
18.
Kumamaru, Emi, Masayuki Sato, Hiroko Yoshida, Toru Ide, & Michiki Kasai. (1999). pH-Dependent Fusion of Synaptosomal Membrane Studied by Fluorescence Quenching Method.. The Japanese Journal of Physiology. 49(1). 19–25. 2 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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