Takuya Fujita
- Pharmaceutical Science top 0.05%
- Advanced Drug Delivery Systems 36
- Drug Solubulity and Delivery Systems 26
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 17
- Physiology top 0.5%
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 17
- Oncology top 1%
- Drug Transport and Resistance Mechanisms 47
-
- Immunotherapy and Immune Responses 19
-
- Neuropeptides and Animal Physiology 17
- Neuroscience and Neuropharmacology Research 16
-
- RNA Interference and Gene Delivery 16
- Co-authors
- Morihiro MatsudaIichiro ShimomuraShigetada FurukawaYukio YamadaOsamu NakayamaMichio ShimabukuroMakoto MakishimaMasanori Iwaki
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takuya Fujita
343 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Pharmaceutical Science 1.8k
- Biochemistry 598
- Physiology 2.5k
- Biochemistry 624
- Oncology 1.9k
Countries citing papers authored by Takuya Fujita
This map shows the geographic impact of Takuya Fujita'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 Takuya Fujita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Fujita more than expected).
Fields of papers citing papers by Takuya Fujita
This network shows the impact of papers produced by Takuya Fujita. 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 Takuya Fujita. The network helps show where Takuya Fujita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takuya Fujita, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2018 | 18 | |
| 12 | 2016 | 10 | |
| 13 | 2012 | 0 | |
| 14 | 2009 | 29 | |
| 15 | Increased oxidative stress in obesity and its impact on metabolic syndromebreakdown → | 2004 | 4339 |
| 16 | 1999 | 68 | |
| 17 | 1999 | 12 | |
| 18 | 1995 | 5 | |
| 19 | 1988 | 2 | |
| 20 | Pressure distribution within typhoon | 1952 | 137 |
About Takuya Fujita
Takuya Fujita is a scholar working on Pharmaceutical Science, Biochemistry and Oncology, having authored 360 papers that have together received 14.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (47 papers), Advanced Drug Delivery Systems (36 papers), Drug Solubulity and Delivery Systems (26 papers), Immunotherapy and Immune Responses (19 papers), Neuropeptides and Animal Physiology (17 papers), Amino Acid Enzymes and Metabolism (17 papers), Neuroscience and Neuropharmacology Research (16 papers) and RNA Interference and Gene Delivery (16 papers). The work is most often cited by research in Pharmaceutical Science (1.8k citations), Biochemistry (598 citations) and Physiology (2.5k citations). Takuya Fujita has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Morihiro Matsuda, Iichiro Shimomura, Shigetada Furukawa, Yukio Yamada, Osamu Nakayama, Michio Shimabukuro, Makoto Makishima, Masanori Iwaki, Akira Yamamoto and Shozo Muranishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters 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.