Makiko Fujii
- Pharmaceutical Science top 0.5%
- Advancements in Transdermal Drug Delivery 29
- Drug Solubulity and Delivery Systems 21
- Molecular Biology top 2%
- TGF-β signaling in diseases 20
- Cancer-related gene regulation 12
- Neurology top 2%
- Cell Biology top 2%
- Cancer Research top 5%
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- Ion-surface interactions and analysis 30
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- Integrated Circuits and Semiconductor Failure Analysis 12
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- Diamond and Carbon-based Materials Research 11
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- Dermatology and Skin Diseases 11
- Co-authors
- Kohei MiyazonoYoshiteru WatanabeDahai HouShunsuke TanigawaMasuo KondohYoshitaka SekidoYutaka KondoHirotaka Osada
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (7 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Makiko Fujii
179 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 151
- Pharmaceutical Science 672
- Molecular Biology 3.4k
- Neurology 392
- Cell Biology 657
- Cancer Research 590
Countries citing papers authored by Makiko Fujii
This map shows the geographic impact of Makiko Fujii'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 Makiko Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiko Fujii more than expected).
Fields of papers citing papers by Makiko Fujii
This network shows the impact of papers produced by Makiko Fujii. 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 Makiko Fujii. The network helps show where Makiko Fujii may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makiko Fujii, 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 | 2022 | 0 | |
| 3 | 2016 | 1 | |
| 4 | 2014 | 1 | |
| 5 | 2013 | 10 | |
| 6 | 2012 | 19 | |
| 7 | 2012 | 18 | |
| 8 | 2011 | 181 | |
| 9 | 2011 | 36 | |
| 10 | 2008 | 63 | |
| 11 | 2007 | 407 | |
| 12 | 2006 | 52 | |
| 13 | 2004 | 68 | |
| 14 | 2004 | 24 | |
| 15 | 2004 | 12 | |
| 16 | 2002 | 245 | |
| 17 | 2001 | 16 | |
| 18 | 1999 | 2 | |
| 19 | 1997 | 2 | |
| 20 | Cadmium Acetate Mediated Conversion of Selenothioic Acid S-Alkyl Esters to Selenophenes and Ketene Selenothioacetals | 1996 | 1 |
About Makiko Fujii
Makiko Fujii is a scholar working on Pharmaceutical Science, Analytical Chemistry and Dermatology, having authored 188 papers that have together received 6.2k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (30 papers), Advancements in Transdermal Drug Delivery (29 papers), Drug Solubulity and Delivery Systems (21 papers), TGF-β signaling in diseases (20 papers), Integrated Circuits and Semiconductor Failure Analysis (12 papers), Cancer-related gene regulation (12 papers), Diamond and Carbon-based Materials Research (11 papers) and Dermatology and Skin Diseases (11 papers). The work is most often cited by research in Pharmaceutical Science (672 citations), Molecular Biology (3.4k citations) and Neurology (392 citations). Makiko Fujii has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kohei Miyazono, Yoshiteru Watanabe, Dahai Hou, Shunsuke Tanigawa, Masuo Kondoh, Yoshitaka Sekido, Yutaka Kondo, Hirotaka Osada, Hideki Murakami and Takeshi Imamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.