Kanji Takada
- Pharmaceutical Science top 0.05%
- Molecular Biology top 10%
- Oncology top 5%
- Dermatology top 0.5%
- Pharmacology top 0.5%
- Co-authors
- Yukako ΙtοNobuhito ShibataNobuyuki SugiokaYukako YoshikawaShozo MuranishiKeizo FukushimaHiroshi YoshikawaMasahiro Murakami
- Topics
- Advanced Drug Delivery Systems (47 papers)Advancements in Transdermal Drug Delivery (44 papers)Drug Solubulity and Delivery Systems (37 papers)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Kanji Takada
241 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 133
- Pharmaceutical Science 2.7k
- Molecular Biology 1.1k
- Oncology 698
- Dermatology 621
- Pharmacology 493
Countries citing papers authored by Kanji Takada
This map shows the geographic impact of Kanji Takada'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 Kanji Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanji Takada more than expected).
Fields of papers citing papers by Kanji Takada
This network shows the impact of papers produced by Kanji Takada. 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 Kanji Takada. The network helps show where Kanji Takada may publish in the future.
Co-authorship network of co-authors of Kanji Takada
This figure shows the co-authorship network connecting the top 25 collaborators of Kanji Takada. A scholar is included among the top collaborators of Kanji Takada 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 Kanji Takada. Kanji Takada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 36 | |
| 5 | 4 | |
| 6 | 112 | |
| 7 | 2 | |
| 8 | 58 | |
| 9 | 76 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 46 | |
| 13 | 3 | |
| 14 | 48 | |
| 15 | Simultaneous determination of glucocorticoids in plasma or urine by high-performance liquid chromatography with precolumn fluorimetric derivatization by 9-anthroyl nitrile | 43 |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | POTENTIATION OF ANTITUMOR EFFECT OF BLEOMYCIN BY FUSOGENIC LIPID-SURFACTANT MIXED MICELLES | 0 |
| 20 | ROLE OF THE DISPERSION SYSTEMS CONTAINING FUSOGENIC LIPIDS ON ENHANCED ABSORPTION OF POORLY ABSORBABLE DRUGS FROM THE GASTROINTESTINAL TRACT | 4 |
About Kanji Takada
Kanji Takada is a scholar working on Pharmaceutical Science, Transplantation and Virology, having authored 246 papers that have together received 5.1k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (47 papers), Advancements in Transdermal Drug Delivery (44 papers) and Drug Solubulity and Delivery Systems (37 papers). The work is most often cited by research in Pharmaceutical Science (2.7k citations), Dermatology (621 citations) and Pharmacology (493 citations). Kanji Takada has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Yukako Ιtο, Nobuhito Shibata, Nobuyuki Sugioka, Yukako Yoshikawa, Shozo Muranishi, Keizo Fukushima, Hiroshi Yoshikawa, Masahiro Murakami, Y.V. Rama Prasad and Zhaopeng Hu. Their work appears in journals such as Biomaterials, Journal of Controlled Release and Antimicrobial Agents and Chemotherapy.
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.