Yukihiko Aikawa
- Immunology top 10%
- Molecular Biology
- Rheumatology top 5%
- Pathology and Forensic Medicine top 10%
- Oncology
- Co-authors
- Naoyuki TanumaTaekyun ShinYoh MatsumotoShunichi ShiozawaKéiichi TanakaAkira HashiramotoShuichi HironoYoko Suzuki
- Topics
- NF-κB Signaling Pathways (4 papers)Immune Cell Function and Interaction (3 papers)Protease and Inhibitor Mechanisms (3 papers)
- Partner nations
- Japan
In The Last Decade
Yukihiko Aikawa
17 papers receiving 921 citations
Peers
Comparison fields: 5 of 78
- Immunology 382
- Molecular Biology 270
- Rheumatology 260
- Pathology and Forensic Medicine 143
- Oncology 132
Countries citing papers authored by Yukihiko Aikawa
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 49 | |
| 3 | 169 | |
| 4 | 31 | |
| 5 | 24 | |
| 6 | 91 | |
| 7 | Inhibitory effect of T-614 on tumor necrosis factor-alpha induced cytokine production and nuclear factor-kappaB activation in cultured human synovial cells. | 71 |
| 8 | 138 | |
| 9 | 26 | |
| 10 | 33 | |
| 11 | 72 | |
| 12 | 34 | |
| 13 | 60 | |
| 14 | 33 | |
| 15 | 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. | 45 |
| 16 | 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. | 21 |
| 17 | 20 |
About Yukihiko Aikawa
Yukihiko Aikawa is a scholar working on Cancer Research, Pharmacology and Rheumatology, having authored 17 papers that have together received 951 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Immune Cell Function and Interaction (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Immunology (382 citations), Rheumatology (260 citations) and Pathology and Forensic Medicine (143 citations). Yukihiko Aikawa has collaborated with scholars based in Japan. Frequent co-authors include Naoyuki Tanuma, Taekyun Shin, Yoh Matsumoto, Shunichi Shiozawa, Kéiichi Tanaka, Akira Hashiramoto, Shuichi Hirono, Yoko Suzuki, Yoko Kawazoe and Kuniko Kohyama. Their work appears in journals such as Nature Biotechnology, Scientific Reports and Biochemical and Biophysical Research Communications.
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.