Takashi Sekiya
- Immunology top 1%
- Immune Cell Function and Interaction 21
- T-cell and B-cell Immunology 15
- Immunology and Allergy top 2%
- Oncology top 2%
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 14
- Dermatology top 2%
-
- Atmospheric Ozone and Climate 23
- Atmospheric chemistry and aerosols 21
-
- Atmospheric and Environmental Gas Dynamics 15
-
- Asthma and respiratory diseases 15
-
- Nuclear Receptors and Signaling 8
- Co-authors
- Akihiko YoshimuraRimpei MoritaYoshinori NozawaKenneth S. ZaretAkihiro KimuraTakashi ShichitaKoichi HiraiKengo Sudo
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Takashi Sekiya
146 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Immunology 2.4k
- Immunology and Allergy 281
- Oncology 1.2k
- Molecular Biology 2.1k
- Dermatology 252
Countries citing papers authored by Takashi Sekiya
This map shows the geographic impact of Takashi Sekiya'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 Takashi Sekiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Sekiya more than expected).
Fields of papers citing papers by Takashi Sekiya
This network shows the impact of papers produced by Takashi Sekiya. 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 Takashi Sekiya. The network helps show where Takashi Sekiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Sekiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 99 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 36 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 7 | |
| 11 | 2017 | 80 | |
| 12 | 2016 | 27 | |
| 13 | 2010 | 29 | |
| 14 | 2009 | 37 | |
| 15 | 2008 | 27 | |
| 16 | 2007 | 140 | |
| 17 | 2002 | 81 | |
| 18 | 2000 | 249 | |
| 19 | Ultrastructure of the Trichophyton mentagrophytes Septum:Visualization of the Lamellar Structure | 1976 | 4 |
| 20 | Ultrastructural and Chemical Investigations on the Cell Wall Architecture of Epidermophyton Floccosum :A Proposal of a Cell Wall Model | 1976 | 3 |
About Takashi Sekiya
Takashi Sekiya is a scholar working on Immunology, Atmospheric Science and Global and Planetary Change, having authored 153 papers that have together received 6.3k indexed citations. Recurring topics across this work include Atmospheric Ozone and Climate (23 papers), Atmospheric chemistry and aerosols (21 papers), Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (15 papers), Atmospheric and Environmental Gas Dynamics (15 papers), Asthma and respiratory diseases (15 papers), Lipid Membrane Structure and Behavior (14 papers) and Nuclear Receptors and Signaling (8 papers). The work is most often cited by research in Immunology (2.4k citations), Immunology and Allergy (281 citations) and Oncology (1.2k citations). Takashi Sekiya has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Akihiko Yoshimura, Rimpei Morita, Yoshinori Nozawa, Kenneth S. Zaret, Akihiro Kimura, Takashi Shichita, Koichi Hirai, Kengo Sudo, Kouji Matsushima and Anjana Rao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.