Ken Ikeda

4.2k total citations
167 papers, 3.0k citations indexed

About

Ken Ikeda is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ken Ikeda has authored 167 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Neurology, 38 papers in Cellular and Molecular Neuroscience and 31 papers in Molecular Biology. Recurrent topics in Ken Ikeda's work include Amyotrophic Lateral Sclerosis Research (32 papers), Neurogenetic and Muscular Disorders Research (24 papers) and Parkinson's Disease Mechanisms and Treatments (21 papers). Ken Ikeda is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (32 papers), Neurogenetic and Muscular Disorders Research (24 papers) and Parkinson's Disease Mechanisms and Treatments (21 papers). Ken Ikeda collaborates with scholars based in Japan, United States and United Kingdom. Ken Ikeda's co-authors include Yasuo Iwasaki, Masao Kinoshita, Kiyokazu Kawabe, Toshisuke Kawasaki, Ikuo Yamashina, Toshiya Shiojima, Takehisa Hirayama, Jesse M. Cedarbaum, Vivien Wong and Ronald M. Lindsay and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ken Ikeda

163 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Ikeda Japan 24 1.3k 816 782 458 363 167 3.0k
Takashi Inuzuka Japan 35 1.5k 1.2× 1.4k 1.8× 1.1k 1.4× 286 0.6× 201 0.6× 194 4.0k
Peter Siesjö Sweden 29 639 0.5× 906 1.1× 397 0.5× 456 1.0× 568 1.6× 87 3.0k
Michael Guarnieri United States 23 759 0.6× 659 0.8× 692 0.9× 437 1.0× 119 0.3× 82 2.7k
Hitoshi Kikuchi Japan 24 1.0k 0.8× 673 0.8× 283 0.4× 303 0.7× 253 0.7× 82 2.3k
Shuzo Sato Japan 38 1.5k 1.2× 1.6k 2.0× 1.6k 2.0× 169 0.4× 824 2.3× 271 5.2k
Lars Tönges Germany 34 1.3k 1.1× 1.5k 1.8× 1.1k 1.4× 229 0.5× 123 0.3× 115 3.7k
Lorenz Hirt Switzerland 33 709 0.6× 1.8k 2.2× 1.0k 1.3× 225 0.5× 191 0.5× 91 4.0k
John B. Schweitzer United States 30 405 0.3× 827 1.0× 785 1.0× 133 0.3× 597 1.6× 51 2.6k
Patrick Vourc’h France 34 1.4k 1.1× 1.6k 1.9× 603 0.8× 875 1.9× 84 0.2× 158 3.9k
Gilles Defer France 28 1.0k 0.8× 659 0.8× 526 0.7× 115 0.3× 218 0.6× 104 3.2k

Countries citing papers authored by Ken Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Ken Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Ikeda. A scholar is included among the top collaborators of Ken Ikeda 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 Ken Ikeda. Ken Ikeda 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.
Fujisaki, Tomohiro, et al.. (2025). The Effect of Lipid-Lowering Therapy on Coronary Artery Plaque in East Asia Population. JACC Asia. 5(8). 1032–1047.
2.
Teshima, Koji, Zhengmao Ye, Ken Ikeda, et al.. (2023). Antiviral activity of curcumin and its analogs selected by an artificial intelligence-supported activity prediction system in SARS-CoV-2-infected VeroE6 cells. Natural Product Research. 38(5). 867–872. 3 indexed citations
4.
Takazawa, Takanori, et al.. (2013). A Case of Sinus Arrest and Post-hiccup Cough Syncope in Medullary Infarction. Journal of Stroke and Cerebrovascular Diseases. 23(3). 566–571. 14 indexed citations
5.
Yajima, Satoshi, Yoko Oshima, Ken Ikeda, et al.. (2013). A Case of Esophageal Cancer Diagnosed as Myotonic Dystrophy from Postoperative Clinical Course. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(7). 1838–1841.
6.
Ikeda, Ken, Yuji Kawase, Takanori Takazawa, et al.. (2012). Cardiovascular Disease Risk Profile in Japanese Midlife Migraineurs. Journal of Neurology Research. 2(1). 10–15. 6 indexed citations
7.
Yoshii, Yasuhiro, Ken Ikeda, & Yasuo Iwasaki. (2012). Levetiracetam Protects Spinal Motor Neurons Against Glutamate-Induced Neurotoxicity in Culture. Journal of Neurology Research. 2(2). 39–43. 1 indexed citations
8.
Hirayama, Takehisa, et al.. (2011). Zonisamide Treatment Delays Motor Neuron Degeneration and Astrocyte Proliferation in Wobbler Mice. Journal of Neurology Research. 1(4). 139–144. 4 indexed citations
9.
Wada, Masahiro, et al.. (2011). A CASE OF MALE MAMMARY PAGET'S DISEASE EXAMINED BY SENTINEL LYMPH NODE BIOPSY. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 72(10). 2507–2511.
10.
Mori, Yuko, Akihiro Shiotani, Koichiro Saito, et al.. (2007). A Novel Drug Therapy for Recurrent Laryngeal Nerve Injury Using T‐588. The Laryngoscope. 117(7). 1313–1318. 14 indexed citations
11.
Ikeda, Ken, Masashi Aoki, Yoko Kawazoe, et al.. (2005). Motoneuron degeneration after facial nerve avulsion is exacerbated in presymptomatic transgenic rats expressing human mutant Cu/Zn superoxide dismutase. Journal of Neuroscience Research. 82(1). 63–70. 10 indexed citations
12.
Iwasaki, Yasuo, Yasumitsu Ichikawa, Osamu Igarashi, et al.. (2004). T-588 Protects Motor Neuron Death Following Axotomy. Neurochemical Research. 29(2). 403–406. 5 indexed citations
13.
Iwasaki, Yasuo, et al.. (2003). Influence of Temocapril on Cultured Ventral Spinal Cord Neurons. Neurochemical Research. 28(5). 711–714. 6 indexed citations
14.
Iwasaki, Yasuo, Ken Ikeda, Yasumitsu Ichikawa, et al.. (2002). T-588 Enhances Neurite Outgrowth and Choline Acetyltransferase in Cultured Rat Spinal Ventral Horn Neurons. Neurochemical Research. 27(3). 225–228. 9 indexed citations
15.
Ikeda, Ken, et al.. (2000). T-588, a novel neuroprotective agent, delays progression of neuromuscular dysfunction in wobbler mouse motoneuron disease. Brain Research. 858(1). 84–91. 29 indexed citations
16.
Iwasaki, Yasuo & Ken Ikeda. (1999). Prevention by insulin-like growth factor-I and riluzole in motor neuron death after neonatal axotomy. Journal of the Neurological Sciences. 169(1-2). 148–155. 18 indexed citations
17.
Ikeda, Ken, et al.. (1995). Neuroprotective effect of cholinergic differentiation factor/leukemia inhibitory factor on wobbler murine motor neuron disease. Muscle & Nerve. 18(11). 1344–1347. 39 indexed citations
18.
Iwasaki, Yasuo, Masao Kinoshita, Ken Ikeda, & Toshiya Shiojima. (1990). Trophic Effects of Enkephalin, β-Endorphpne and Dynorphine on Ventral Spinal Cord in Culture. International Journal of Neuroscience. 50(3-4). 131–135. 5 indexed citations
19.
Kinoshita, Masao, et al.. (1989). Trophic Effects of Skeletal Muscle Extracts on Spinal Cord Cultures. International Journal of Neuroscience. 47(3-4). 203–208. 6 indexed citations
20.
Oka, Shogo, Ken Ikeda, Toshisuke Kawasaki, & Ikuo Yamashina. (1988). Isolation and characterization of two distinct mannan-binding proteins from rat serum. Archives of Biochemistry and Biophysics. 260(1). 257–266. 65 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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