Nobuo Hoshino
- Pathology and Forensic Medicine
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Biochemistry top 10%
- Materials Chemistry
- Co-authors
- Akira YamajiTakashi AndoTakahide KimuraTokuzo MinouchiNobuhito ShibataTaro HayakawaAkihiro YamajiTakeshi Kimura
- Topics
- Tea Polyphenols and Effects (5 papers)Pharmacy and Medical Practices (4 papers)Renal Transplantation Outcomes and Treatments (3 papers)
In The Last Decade
Nobuo Hoshino
27 papers receiving 428 citations
Peers
Comparison fields: 5 of 93
- Pathology and Forensic Medicine 92
- Molecular Biology 65
- Endocrinology, Diabetes and Metabolism 58
- Biochemistry 51
- Materials Chemistry 50
Countries citing papers authored by Nobuo Hoshino
This map shows the geographic impact of Nobuo Hoshino'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 Nobuo Hoshino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuo Hoshino more than expected).
Fields of papers citing papers by Nobuo Hoshino
This network shows the impact of papers produced by Nobuo Hoshino. 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 Nobuo Hoshino. The network helps show where Nobuo Hoshino may publish in the future.
Co-authorship network of co-authors of Nobuo Hoshino
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Hoshino. A scholar is included among the top collaborators of Nobuo Hoshino 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 Nobuo Hoshino. Nobuo Hoshino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 1 | |
| 7 | 34 | |
| 8 | 7 | |
| 9 | 28 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 85 | |
| 13 | 38 | |
| 14 | Simultaneous determination of glucocorticoids in plasma or urine by high-performance liquid chromatography with precolumn fluorimetric derivatization by 9-anthroyl nitrile | 43 |
| 15 | 11 | |
| 16 | 46 | |
| 17 | Relationship between area under the concentration versus time curve of cyclosporin A, creatinine clearance, hematocrit value, and other clinical factors in Japanese renal transplant patients. | 15 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 4 |
About Nobuo Hoshino
Nobuo Hoshino is a scholar working on Transplantation, Pharmacology and Geriatrics and Gerontology, having authored 28 papers that have together received 437 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (5 papers), Pharmacy and Medical Practices (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Transplantation (26 citations), Biochemistry (51 citations) and Applied Microbiology and Biotechnology (13 citations). Nobuo Hoshino has collaborated with scholars based in Japan, India and China. Frequent co-authors include Akira Yamaji, Takashi Ando, Takahide Kimura, Tokuzo Minouchi, Nobuhito Shibata, Taro Hayakawa, Akihiro Yamaji, Takeshi Kimura, Kanji Takada and Masami Uehara. Their work appears in journals such as Free Radical Biology and Medicine, Life Sciences and Japanese Journal of Applied Physics.
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.