Kumiko Suyama

422 total citations
17 papers, 324 citations indexed

About

Kumiko Suyama is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Kumiko Suyama has authored 17 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Reproductive Medicine. Recurrent topics in Kumiko Suyama's work include Neuroscience and Neuropharmacology Research (8 papers), Stress Responses and Cortisol (4 papers) and Hypothalamic control of reproductive hormones (3 papers). Kumiko Suyama is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Stress Responses and Cortisol (4 papers) and Hypothalamic control of reproductive hormones (3 papers). Kumiko Suyama collaborates with scholars based in Japan, United States and Czechia. Kumiko Suyama's co-authors include Akane Sano, Takuya Takahashi, Hirobumi Tada, Toshiya Funabashi, Kiwamu Takemoto, Fukuko Kimura, Takeharu Nagai, Takao Hamakubo, Waki Nakajima and Hiroko Iwanari and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

Kumiko Suyama

17 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumiko Suyama Japan 11 148 110 69 46 41 17 324
Jianli Sun United States 12 168 1.1× 182 1.7× 46 0.7× 59 1.3× 39 1.0× 19 371
Brittni M. Peterson United States 9 218 1.5× 121 1.1× 113 1.6× 76 1.7× 26 0.6× 10 470
Sami Hassan Germany 9 219 1.5× 236 2.1× 56 0.8× 13 0.3× 81 2.0× 10 509
Chihiro Kawaguchi Japan 11 359 2.4× 195 1.8× 98 1.4× 80 1.7× 30 0.7× 12 447
Pamella E. Kolb United States 15 307 2.1× 216 2.0× 159 2.3× 75 1.6× 44 1.1× 18 504
Pooja Raval United Kingdom 8 60 0.4× 101 0.9× 26 0.4× 15 0.3× 43 1.0× 15 329
Rachel Y. Cheong Sweden 13 123 0.8× 143 1.3× 70 1.0× 130 2.8× 25 0.6× 24 429
Darrell A. Jackson United States 13 222 1.5× 173 1.6× 22 0.3× 21 0.5× 70 1.7× 23 473
Clara Bueno-Fernández Spain 9 105 0.7× 26 0.2× 47 0.7× 22 0.5× 46 1.1× 18 259
Josette Arsaut France 13 168 1.1× 145 1.3× 126 1.8× 8 0.2× 38 0.9× 18 536

Countries citing papers authored by Kumiko Suyama

Since Specialization
Citations

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

Fields of papers citing papers by Kumiko Suyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumiko Suyama

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

All Works

17 of 17 papers shown
1.
Masumoto, Nami, Shingo Kato, Sho Hasegawa, et al.. (2023). AMPAR receptor inhibitors suppress proliferation of human small cell lung cancer cell lines. Thoracic Cancer. 14(29). 2897–2908. 8 indexed citations
2.
Miyazaki, Tomoyuki, et al.. (2021). [11C]K-2 image with positron emission tomography represents cell surface AMPA receptors. Neuroscience Research. 173. 106–113. 10 indexed citations
3.
Abe, Hiroki, Susumu Jitsuki, Waki Nakajima, et al.. (2018). CRMP2-binding compound, edonerpic maleate, accelerates motor function recovery from brain damage. Science. 360(6384). 50–57. 59 indexed citations
4.
Tada, Hirobumi, Tomoyuki Miyazaki, Kiwamu Takemoto, et al.. (2017). Social isolation suppresses actin dynamics and synaptic plasticity through ADF/cofilin inactivation in the developing rat barrel cortex. Scientific Reports. 7(1). 8471–8471. 5 indexed citations
5.
Tada, Hirobumi, Tomoyuki Miyazaki, Kiwamu Takemoto, et al.. (2016). Neonatal isolation augments social dominance by altering actin dynamics in the medial prefrontal cortex. Proceedings of the National Academy of Sciences. 113(45). E7097–E7105. 49 indexed citations
6.
Takemoto, Kiwamu, Hiroko Iwanari, Hirobumi Tada, et al.. (2016). Optical inactivation of synaptic AMPA receptors erases fear memory. Nature Biotechnology. 35(1). 38–47. 60 indexed citations
7.
Tada, Hirobumi, Yusuke Shibata, Toshiya Funabashi, et al.. (2015). Estrous Cycle-Dependent Phasic Changes in the Stoichiometry of Hippocampal Synaptic AMPA Receptors in Rats. PLoS ONE. 10(6). e0131359–e0131359. 25 indexed citations
8.
Tada, Hirobumi, Toshiya Funabashi, Yoshinori Kamiya, et al.. (2013). Phasic synaptic incorporation of GluR2-lacking AMPA receptors at gonadotropin-releasing hormone neurons is involved in the generation of the luteinizing hormone surge in female rats. Neuroscience. 248. 664–669. 18 indexed citations
9.
Suyama, Kumiko, Shigeo Daikoku, Toshiya Funabashi, & Fukuko Kimura. (2004). Effects of GABA and Bicuculline on the Electrical Activity of Rat Olfactory Placode Neurons Derived at E13.5 and Cultured for 1 Week on Multi-electrode Dishes. Endocrine Journal. 51(2). 171–176. 3 indexed citations
10.
Kimura, Fukuko, Kazuyuki Shinohara, Toshiya Funabashi, et al.. (2003). Nicotine inhibition of pulsatile GnRH secretion is mediated by GABAA receptor system in the cultured rat embryonic olfactory placode. Psychoneuroendocrinology. 29(6). 749–756. 12 indexed citations
11.
Funabashi, Toshiya, Shigeo Daikoku, Kumiko Suyama, et al.. (2002). Role of Gamma-Aminobutyric Acid Neurons in the Release of Gonadotropin-Releasing Hormone in Cultured Rat Embryonic Olfactory Placodes. Neuroendocrinology. 76(4). 193–202. 8 indexed citations
12.
Funabashi, Toshiya, Dai Mitsushima, Takahiro J. Nakamura, et al.. (2002). Gonadotropin-releasing hormone (GnRH) surge generator in female rats. Progress in brain research. 141. 165–173. 10 indexed citations
13.
Funabashi, Toshiya, Kumiko Suyama, Tsuguo Uemura, et al.. (2001). Immortalized Gonadotropin-Releasing Hormone Neurons (GT1-7 Cells) Exhibit Synchronous Bursts of Action Potentials. Neuroendocrinology. 73(3). 157–165. 27 indexed citations
14.
Matsui, Hiroshi, et al.. (2000). Biological action of keratinocyte growth factor in BeWo cells, a human choriocarcinoma cell line. Journal of Endocrinological Investigation. 23(1). 19–22. 10 indexed citations
15.
Taga, Michiyoshi, et al.. (1997). Gene expression and specific binding of platelet-derived growth factor and its effect on DNA synthesis in human decidual cells. Molecular and Cellular Endocrinology. 132(1-2). 73–80. 11 indexed citations
16.
Taga, Michiyoshi, et al.. (1997). Gene expression of transforming growth factor-α in human endometrium during decidualization. Journal of Assisted Reproduction and Genetics. 14(4). 218–222. 3 indexed citations
17.
Taga, Michiyoshi, et al.. (1996). Transforming growth factor-α, like epidermal growth factor, stimulates cell proliferation and inhibits prolactin secretion in the human decidual cells in vitro. Journal of Endocrinological Investigation. 19(10). 659–662. 6 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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