Keisuke Tachibana
- Cancer Research top 10%
- Biochemistry top 5%
- Neurology top 10%
- Barrier Structure and Function Studies 13
- Neurological Disease Mechanisms and Treatments 6
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors 16
- Metabolism, Diabetes, and Cancer 5
- RNA Interference and Gene Delivery 4
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- Biomedical Ethics and Regulation 6
- Adipose Tissue and Metabolism 5
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- Health Systems, Economic Evaluations, Quality of Life 4
- Co-authors
- Takefumi DoiKenji IshimotoDaisuke YamasakiMasuo KondohToshiya TanakaTatsuhiko KodamaTakao HamakuboJuro Sakai
- Cited by
- Cancer ResearchBiochemistryNeurology
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)PLoS ONE (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keisuke Tachibana
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 220
- Biochemistry 97
- Neurology 110
- Molecular Biology 715
- Oncology 141
Countries citing papers authored by Keisuke Tachibana
This map shows the geographic impact of Keisuke Tachibana'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 Keisuke Tachibana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Tachibana more than expected).
Fields of papers citing papers by Keisuke Tachibana
This network shows the impact of papers produced by Keisuke Tachibana. 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 Keisuke Tachibana. The network helps show where Keisuke Tachibana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keisuke Tachibana, 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 | 2024 | 8 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 18 | |
| 14 | 2016 | 26 | |
| 15 | 2015 | 26 | |
| 16 | 2014 | 52 | |
| 17 | 2011 | 75 | |
| 18 | 2009 | 67 | |
| 19 | 2009 | 14 | |
| 20 | 2008 | 190 |
About Keisuke Tachibana
Keisuke Tachibana is a scholar working on Neurology, Medical Laboratory Technology and Molecular Biology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (16 papers), Barrier Structure and Function Studies (13 papers), Biomedical Ethics and Regulation (6 papers), Neurological Disease Mechanisms and Treatments (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (5 papers), RNA Interference and Gene Delivery (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Cancer Research (220 citations), Biochemistry (97 citations) and Neurology (110 citations). Keisuke Tachibana has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takefumi Doi, Kenji Ishimoto, Daisuke Yamasaki, Masuo Kondoh, Toshiya Tanaka, Tatsuhiko Kodama, Takao Hamakubo, Juro Sakai, Yosuke Hashimoto and Takashi Minami. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.
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.