Yasuhiro Nakagami

1.6k total citations
44 papers, 1.3k citations indexed

About

Yasuhiro Nakagami is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yasuhiro Nakagami has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Physiology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yasuhiro Nakagami's work include Genomics, phytochemicals, and oxidative stress (7 papers), Alzheimer's disease research and treatments (6 papers) and Asthma and respiratory diseases (6 papers). Yasuhiro Nakagami is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (7 papers), Alzheimer's disease research and treatments (6 papers) and Asthma and respiratory diseases (6 papers). Yasuhiro Nakagami collaborates with scholars based in Japan, United States and Germany. Yasuhiro Nakagami's co-authors include Norio Matsuki, Hiroshi Saitō, Louis T. Nguyenvu, David J. Erle, Guohua Zhen, Catherine Verhaeghe, Sungwoo Park, Andrea J. Barczak, Nigel Killeen and Kazuho Abe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Yasuhiro Nakagami

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuhiro Nakagami Japan 20 577 296 206 203 147 44 1.3k
Yun‐Yan Xiang Canada 15 817 1.4× 179 0.6× 150 0.7× 311 1.5× 136 0.9× 28 1.5k
Bjarne Krebs Germany 18 707 1.2× 365 1.2× 168 0.8× 110 0.5× 147 1.0× 25 1.8k
Fiorella Malchiodi‐Albedi Italy 26 875 1.5× 476 1.6× 343 1.7× 180 0.9× 128 0.9× 61 1.8k
Madoka Yoshida Japan 25 1.2k 2.1× 262 0.9× 195 0.9× 210 1.0× 106 0.7× 44 1.9k
S. Priya Narayanan United States 23 1.1k 1.9× 368 1.2× 241 1.2× 152 0.7× 324 2.2× 47 2.4k
Karen S. Poksay United States 23 1.2k 2.0× 331 1.1× 181 0.9× 307 1.5× 164 1.1× 34 1.9k
Indravadan R. Patel United States 13 444 0.8× 287 1.0× 179 0.9× 414 2.0× 157 1.1× 15 1.8k
Geoffrey E. Woodard United States 21 539 0.9× 148 0.5× 217 1.1× 136 0.7× 67 0.5× 52 1.4k
Somsankar Dasgupta United States 22 1.2k 2.1× 329 1.1× 107 0.5× 234 1.2× 170 1.2× 51 1.6k

Countries citing papers authored by Yasuhiro Nakagami

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Nakagami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Nakagami

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Nakagami. A scholar is included among the top collaborators of Yasuhiro Nakagami 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 Yasuhiro Nakagami. Yasuhiro Nakagami 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.
Nakagami, Yasuhiro, et al.. (2020). NFE2L2 activator RS9 protects against corneal epithelial cell damage in dry eye models. PLoS ONE. 15(4). e0229421–e0229421. 6 indexed citations
2.
Nakagami, Yasuhiro, et al.. (2019). An anti-PLVAP antibody suppresses laser-induced choroidal neovascularization in monkeys. European Journal of Pharmacology. 854. 240–246. 10 indexed citations
3.
Nakagami, Yasuhiro, et al.. (2016). A novel Nrf2 activator from microbial transformation inhibits radiation-induced dermatitis in mice. Journal of Radiation Research. 57(5). 567–571. 14 indexed citations
4.
Nakagami, Yasuhiro, et al.. (2015). Cytoprotective Effects of a Novel Nrf2 Activator, RS9, in Rhodopsin Pro347Leu Rabbits. Current Eye Research. 41(8). 1123–1126. 21 indexed citations
5.
Nakagami, Yasuhiro, Maki Etori, Chie Suzuki, et al.. (2010). A Novel CC Chemokine Receptor 4 Antagonist RS‐1269 Inhibits Ovalbumin‐Induced Ear Swelling and Lipopolysaccharide‐Induced Endotoxic Shock in Mice. Basic & Clinical Pharmacology & Toxicology. 107(4). 793–797. 7 indexed citations
6.
Park, Sungwoo, Catherine Verhaeghe, Louis T. Nguyenvu, et al.. (2009). Distinct Roles of FOXA2 and FOXA3 in Allergic Airway Disease and Asthma. American Journal of Respiratory and Critical Care Medicine. 180(7). 603–610. 63 indexed citations
7.
Nakagami, Yasuhiro, et al.. (2009). Novel CC chemokine receptor 4 antagonist RS-1154 inhibits ovalbumin-induced ear swelling in mice. European Journal of Pharmacology. 624(1-3). 38–44. 21 indexed citations
8.
Nakagami, Yasuhiro, Tomomi Yoshitomi, Kazuki Hirahara, et al.. (2005). Oral administration of a T cell epitope inhibits symptoms and reactions of allergic rhinitis in Japanese cedar pollen allergen-sensitized mice. European Journal of Pharmacology. 510(1-2). 143–148. 22 indexed citations
9.
Nakagami, Yasuhiro. (2004). Inhibitors beta-amyloid-induced toxicity by modulating the Akt signaling pathway. Drug News & Perspectives. 17(10). 655–655. 22 indexed citations
11.
Nishimura, Satoko, Takekazu Kubo, Isao Kaneko, et al.. (2003). RS‐4252 Inhibits Amyloid β‐Induced Cytotoxicity in HeLa Cells. Pharmacology & Toxicology. 93(1). 29–32. 19 indexed citations
12.
Naoe, Michio, et al.. (2002). MHC-CLASS I EXPRESSION ON PROSTATE CARCINOMA AND MODULATION BY IFN-^|^gamma;. The Japanese Journal of Urology. 93(4). 532–538. 4 indexed citations
13.
Nakagami, Yasuhiro & Tomiichiro Oda. (2002). Glutamate Exacerbates Amyloid β1 − 42-Induced Impairment of Long-Term Potentiation in Rat Hippocampal Slices. The Japanese Journal of Pharmacology. 88(2). 223–226. 19 indexed citations
15.
Nakagami, Yasuhiro, Hiroshi Saitō, & Norio Matsuki. (1997). Basic Fibroblast Growth Factor and Brain-Derived Neurotrophic Factor Promote Survival and Neuronal Circuit Formation in Organotypic Hippocampal Culture. The Japanese Journal of Pharmacology. 75(4). 319–326. 26 indexed citations
16.
Nakagami, Yasuhiro, Hiroshi Saitō, & Norio Matsuki. (1997). Optical recording of trisynaptic pathway in rat hippocampal slices with a voltage-sensitive dye. Neuroscience. 81(1). 1–8. 46 indexed citations
17.
Nakagami, Yasuhiro, Hiroshi Saitō, & Hiroshi Katsuki. (1996). 3-Hydroxykynurenine Toxicity on the Rat Striatum In Vivo. The Japanese Journal of Pharmacology. 71(2). 183–186. 71 indexed citations
18.
Nakagami, Yasuhiro, Hiroshi Saitō, & Norio Matsuki. (1996). Optical recording of rat entorhino-hippocampal system in organotypic culture. Neuroscience Letters. 216(3). 211–213. 13 indexed citations
19.
Nakagami, Yasuhiro, et al.. (1980). Adjuvant immunotherapy with a S. pyogenes preparation (OK432) in urogenital cancer patients.. PubMed. 17(5). 386–9. 1 indexed citations
20.
Nakagami, Yasuhiro, et al.. (1979). ADJUVANT IMMUNOTHERAPY WITH ANTI-TUMOR STR. PYOGENES PREPARATION (IMMUNOPOTENTIATOR OK-432) IN UROGENITAL CARCINOMA. Kyoto University Research Information Repository (Kyoto University). 25(2). 133–141. 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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