Yukihiko Aikawa

1.2k total citations
17 papers, 951 citations indexed

About

Yukihiko Aikawa is a scholar working on Cancer Research, Molecular Biology and Pharmacology. According to data from OpenAlex, Yukihiko Aikawa has authored 17 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Yukihiko Aikawa's work include NF-κB Signaling Pathways (4 papers), Immune Cell Function and Interaction (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Yukihiko Aikawa is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Immune Cell Function and Interaction (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Yukihiko Aikawa collaborates with scholars based in Japan. Yukihiko Aikawa's co-authors include Naoyuki Tanuma, Taekyun Shin, Yoh Matsumoto, Shunichi Shiozawa, Kéiichi Tanaka, Shuichi Hirono, Akira Hashiramoto, Yoko Suzuki, Yoko Kawazoe and Kuniko Kohyama and has published in prestigious journals such as Nature Biotechnology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yukihiko Aikawa

17 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukihiko Aikawa Japan 17 382 270 260 143 132 17 951
Brian Niland United States 13 531 1.4× 467 1.7× 368 1.4× 116 0.8× 141 1.1× 18 1.4k
Masashi Kohno Japan 11 439 1.1× 178 0.7× 156 0.6× 44 0.3× 283 2.1× 24 893
Paul Emery United Kingdom 16 482 1.3× 276 1.0× 476 1.8× 85 0.6× 91 0.7× 21 1.2k
Wenyan Miao United States 16 321 0.8× 713 2.6× 59 0.2× 120 0.8× 282 2.1× 26 1.3k
Rafael B. Blasco Spain 15 208 0.5× 534 2.0× 74 0.3× 161 1.1× 173 1.3× 29 1.1k
Shideh Kazerounian United States 14 122 0.3× 639 2.4× 87 0.3× 178 1.2× 186 1.4× 20 1.1k
Victoria J. South United States 7 217 0.6× 672 2.5× 414 1.6× 42 0.3× 158 1.2× 8 1.2k
Svetlana A. Didichenko Switzerland 17 652 1.7× 756 2.8× 95 0.4× 58 0.4× 142 1.1× 27 1.6k
Johan Jirholt Sweden 11 475 1.2× 177 0.7× 172 0.7× 62 0.4× 181 1.4× 15 833
Anders Lundequist Sweden 15 532 1.4× 238 0.9× 74 0.3× 24 0.2× 70 0.5× 22 865

Countries citing papers authored by Yukihiko Aikawa

Since Specialization
Citations

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

Fields of papers citing papers by Yukihiko Aikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukihiko Aikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihiko Aikawa. A scholar is included among the top collaborators of Yukihiko Aikawa 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 Yukihiko Aikawa. Yukihiko Aikawa 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.
Motomura, Hiraku, et al.. (2018). A selective c-Fos/AP-1 inhibitor prevents cartilage destruction and subsequent osteophyte formation. Biochemical and Biophysical Research Communications. 497(2). 756–761. 34 indexed citations
2.
Makino, Hiroto, Shoji Seki, Yasuhito Yahara, et al.. (2017). A selective inhibition of c-Fos/activator protein-1 as a potential therapeutic target for intervertebral disc degeneration and associated pain. Scientific Reports. 7(1). 16983–16983. 49 indexed citations
3.
Aikawa, Yukihiko, Tetsuya Yamamoto, Akira Hashiramoto, et al.. (2008). Treatment of arthritis with a selective inhibitor of c-Fos/activator protein-1. Nature Biotechnology. 26(7). 817–823. 169 indexed citations
4.
Takakura, Tadakazu, et al.. (2005). Discovery of Nonpeptidic Small-Molecule AP-1 Inhibitors:  Lead Hopping Based on a Three-Dimensional Pharmacophore Model. Journal of Medicinal Chemistry. 49(1). 80–91. 31 indexed citations
5.
Takakura, Tadakazu, et al.. (2004). Design, Synthesis, and Biological Evaluation of New Cyclic Disulfide Decapeptides That Inhibit the Binding of AP-1 to DNA. Journal of Medicinal Chemistry. 47(17). 4239–4246. 24 indexed citations
6.
Aikawa, Yukihiko, Masakazu Yamamoto, Takuya Yamamoto, Kanehisa Morimoto, & Kéiichi Tanaka. (2002). An anti-rheumatic agent T-614 inhibits NF-κB activation in LPS- and TNF-α-stimulated THP-1 cells without interfering with IκBα degradation. Inflammation Research. 51(4). 188–194. 91 indexed citations
7.
Kohno, Masataka, Yukihiko Aikawa, Yasunori Tsubouchi, et al.. (2001). Inhibitory effect of T-614 on tumor necrosis factor-alpha induced cytokine production and nuclear factor-kappaB activation in cultured human synovial cells.. PubMed. 28(12). 2591–6. 71 indexed citations
8.
Matsumoto, Yoh, Kuniko Kohyama, Yukihiko Aikawa, et al.. (1998). Role of natural killer cells and TCRγ δ T cells in acute autoimmune encephalomyelitis. European Journal of Immunology. 28(5). 1681–1688. 138 indexed citations
9.
Tanuma, Naoyuki, Yukihiko Aikawa, Yoko Kawazoe, et al.. (1998). Interaction between apoptotic cells and reactive brain cells in the central nervous system of rats with autoimmune encephalomyelitis. Journal of Neuroimmunology. 82(2). 168–174. 33 indexed citations
10.
Aikawa, Yukihiko, Naoyuki Tanuma, Taekyun Shin, et al.. (1998). A new anti-rheumatic drug, T-614, effectively suppresses the development of autoimmune encephalomyelitis. Journal of Neuroimmunology. 89(1-2). 35–42. 26 indexed citations
11.
Tanuma, Naoyuki, Takashi Kojima, Taekyun Shin, et al.. (1997). Competitive PCR quantification of pro- and anti-inflammatory cytokine mRNA in the central nervous system during autoimmune encephalomyelitis. Journal of Neuroimmunology. 73(1-2). 197–206. 72 indexed citations
12.
Kojima, Takashi, et al.. (1997). Myosin-induced autoimmune polymyositis in the rat. Journal of the Neurological Sciences. 151(2). 141–148. 34 indexed citations
13.
Tanaka, Keiichi, et al.. (1995). T-614, a Novel Antirheumatic Drug, Inhibits Both the Activity and Induction of Cyclooxygenase-2 (COX-2) in Cultured Fibroblasts. The Japanese Journal of Pharmacology. 67(4). 305–314. 60 indexed citations
15.
Makino, Shinji, et al.. (1992). Pharmacological studies of the new antiinflammatory agent 3-formylamino-7-methylsulfonylamino-6-phenoxy-4H-1-benzopyran-4-o ne. 1st communication: antiinflammatory, analgesic and other related properties.. PubMed. 42(7). 935–44. 45 indexed citations
16.
Makino, Shinji, et al.. (1992). Pharmacological studies of the new antiinflammatory agent 3-formylamino-7-methylsulfonylamino-6-phenoxy-4'-1-benzopyran-4-o ne. 2nd communication: effect on the arachidonic acid cascades.. PubMed. 42(7). 945–50. 21 indexed citations
17.
Nakagawa, Hideo, Hisashi Kitagawa, & Yukihiko Aikawa. (1987). Tumor necrosis factor stimulates gelatinase and collagenase production by granulation tissue in culture. Biochemical and Biophysical Research Communications. 142(3). 791–797. 20 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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