Junya Hamanaka

509 total citations
10 papers, 419 citations indexed

About

Junya Hamanaka is a scholar working on Neurology, Molecular Biology and Immunology. According to data from OpenAlex, Junya Hamanaka has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Junya Hamanaka's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Response and Inflammation (3 papers) and Alzheimer's disease research and treatments (2 papers). Junya Hamanaka is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Response and Inflammation (3 papers) and Alzheimer's disease research and treatments (2 papers). Junya Hamanaka collaborates with scholars based in Japan. Junya Hamanaka's co-authors include Hideaki Hara, Masamitsu Shimazawa, Kazuhiro Tsuruma, Kana Hyakkoku, Hiroyuki Tanaka, Satoshi Uematsu, Nobuya Inagaki, H. Nagai, Shizuo Akira and Mitsunori Ishiguro and has published in prestigious journals such as Scientific Reports, Brain Research and Neuroscience.

In The Last Decade

Junya Hamanaka

9 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junya Hamanaka Japan 8 219 163 131 60 44 10 419
Kana Hyakkoku Japan 8 190 0.9× 125 0.8× 151 1.2× 97 1.6× 78 1.8× 12 473
Elien Wouters Belgium 9 120 0.5× 106 0.7× 148 1.1× 34 0.6× 45 1.0× 10 380
Jun‐Chun Tang China 11 185 0.8× 63 0.4× 176 1.3× 49 0.8× 35 0.8× 12 402
Elien Grajchen Belgium 8 162 0.7× 129 0.8× 135 1.0× 23 0.4× 45 1.0× 9 360
Meng Mao China 10 133 0.6× 90 0.6× 220 1.7× 73 1.2× 39 0.9× 41 429
Kun Zan China 9 170 0.8× 64 0.4× 212 1.6× 44 0.7× 34 0.8× 16 454
Pinelopi Engskog‐Vlachos Sweden 9 174 0.8× 81 0.5× 231 1.8× 58 1.0× 54 1.2× 11 454
Ioanna Plastira Austria 13 144 0.7× 105 0.6× 312 2.4× 53 0.9× 70 1.6× 14 568
Cesar Beltran United States 6 197 0.9× 129 0.8× 98 0.7× 69 1.1× 30 0.7× 7 379

Countries citing papers authored by Junya Hamanaka

Since Specialization
Citations

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

Fields of papers citing papers by Junya Hamanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Hamanaka

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

All Works

10 of 10 papers shown
1.
Hamanaka, Junya, Atsuko Horiuchi, Hirotaka Yamashita, et al.. (2025). Antitumor Effects of Sasa veitchii Extract on Human Pancreatic Adenocarcinoma Cells. Traditional & Kampo Medicine. 12(2). 143–150.
2.
Hamanaka, Junya, Atsuko Horiuchi, Sachiko Shibata, et al.. (2024). Sasa veitchii extract exhibits antitumor effect against murine pancreatic adenocarcinoma in vivo and in vitro. Traditional & Kampo Medicine. 12(1). 10–19. 1 indexed citations
3.
Suzuki, Yukiya, Kozo Hattori, Junya Hamanaka, et al.. (2012). Pharmacological inhibition of TLR4-NOX4 signal protects against neuronal death in transient focal ischemia. Scientific Reports. 2(1). 896–896. 78 indexed citations
4.
Koumura, Akihiro, Junya Hamanaka, Koh Kawasaki, et al.. (2011). Fasudil and Ozagrel in Combination Show Neuroprotective Effects on Cerebral Infarction after Murine Middle Cerebral Artery Occlusion. Journal of Pharmacology and Experimental Therapeutics. 338(1). 337–344. 32 indexed citations
5.
Hamanaka, Junya & Hideaki Hara. (2011). Involvement of Toll-like Receptors in Ischemia-induced Neuronal Damage. Central Nervous System Agents in Medicinal Chemistry. 11(2). 107–113. 17 indexed citations
6.
Oyagi, Atsushi, Nobutaka Morimoto, Junya Hamanaka, et al.. (2011). Forebrain specific heparin-binding epidermal growth factor-like growth factor knockout mice show exacerbated ischemia and reperfusion injury. Neuroscience. 185. 116–124. 22 indexed citations
7.
Hyakkoku, Kana, Junya Hamanaka, Kazuhiro Tsuruma, Masamitsu Shimazawa, & Hideaki Hara. (2010). Proteomic approach with LCMS-IT-TOF identified an increase of Rab33B after transient focal cerebral ischemia in mice. PubMed. 2(1). 20–20. 7 indexed citations
8.
Oida, Yasuhisa, Junya Hamanaka, Kana Hyakkoku, et al.. (2010). Post-treatment of a BiP inducer prevents cell death after middle cerebral artery occlusion in mice. Neuroscience Letters. 484(1). 43–46. 31 indexed citations
9.
Hyakkoku, Kana, Junya Hamanaka, Kazuhiro Tsuruma, et al.. (2010). Toll-like receptor 4 (TLR4), but not TLR3 or TLR9, knock-out mice have neuroprotective effects against focal cerebral ischemia. Neuroscience. 171(1). 258–267. 209 indexed citations
10.
Koumura, Akihiro, Junya Hamanaka, Masamitsu Shimazawa, et al.. (2009). Metallothionein-III knockout mice aggravates the neuronal damage after transient focal cerebral ischemia. Brain Research. 1292. 148–154. 22 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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