Ryosuke Negoro
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
-
- Cancer Cells and Metastasis
- Drug Transport and Resistance Mechanisms
Papers in
-
- Pluripotent Stem Cells Research 5
- Renal and related cancers 3
- CRISPR and Genetic Engineering 3
-
- 3D Printing in Biomedical Research 7
- Co-authors
- Kazuo Takayama (15 shared papers)Hiroyuki Mizuguchi (9 shared papers)Fuminori Sakurai (4 shared papers)Masashi Tachibana (2 shared papers)Kazuo Harada (3 shared papers)Kazumasa Hirata (3 shared papers)Takuya Fujita (9 shared papers)Sayaka Deguchi (9 shared papers)
In The Last Decade
Ryosuke Negoro
23 papers receiving 326 citations
Peers
Comparison fields: 5 of 65
- Pharmacology 56
- Oncology 94
- Pharmaceutical Science 23
- Biomedical Engineering 122
- Transplantation 5
Countries citing papers authored by Ryosuke Negoro
This map shows the geographic impact of Ryosuke Negoro'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 Ryosuke Negoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Negoro more than expected).
Fields of papers citing papers by Ryosuke Negoro
This network shows the impact of papers produced by Ryosuke Negoro. 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 Ryosuke Negoro. The network helps show where Ryosuke Negoro may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Negoro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 49 | |
| 2 | 2015 | 47 | |
| 3 | 2016 | 42 | |
| 4 | 2019 | 41 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 15 | |
| 7 | 2023 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Ryosuke Negoro
Ryosuke Negoro is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Pharmacology and Surgery, having authored 24 papers that have together received 331 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Renal and related cancers (3 papers), CRISPR and Genetic Engineering (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Pharmacology (56 citations), Oncology (94 citations), Pharmaceutical Science (23 citations), Biomedical Engineering (122 citations) and Transplantation (5 citations). Ryosuke Negoro has collaborated with scholars based in Japan and Ireland. Frequent co-authors include Kazuo Takayama, Hiroyuki Mizuguchi, Fuminori Sakurai, Masashi Tachibana, Kazuo Harada, Kazumasa Hirata, Takuya Fujita, Sayaka Deguchi, Yasuhito Nagamoto and Ryota Okamoto. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, Molecular Therapy — Methods & Clinical Development, Biological and Pharmaceutical Bulletin and Drug Metabolism and Pharmacokinetics.
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.