Hiroshi Kuga
- Molecular Biology top 10%
- Oncology top 5%
- Pharmacology top 5%
- Organic Chemistry
- Pulmonary and Respiratory Medicine
- Co-authors
- Yasuhide HirotaKeiki SatoYasuyoshi KawatoMasashi AonumaNobutaka ImamuraSatoshi ŌmuraYoshinobu ShioseHaruo Tanaka
- Topics
- Cancer therapeutics and mechanisms (8 papers)Bioactive Compounds and Antitumor Agents (4 papers)Nanoparticle-Based Drug Delivery (4 papers)
- Cited by
- ToxicologyOncologyMolecular Biology
In The Last Decade
Hiroshi Kuga
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 840
- Oncology 676
- Pharmacology 172
- Organic Chemistry 146
- Pulmonary and Respiratory Medicine 111
Countries citing papers authored by Hiroshi Kuga
This map shows the geographic impact of Hiroshi Kuga'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 Hiroshi Kuga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kuga more than expected).
Fields of papers citing papers by Hiroshi Kuga
This network shows the impact of papers produced by Hiroshi Kuga. 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 Hiroshi Kuga. The network helps show where Hiroshi Kuga may publish in the future.
Co-authorship network of co-authors of Hiroshi Kuga
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kuga. A scholar is included among the top collaborators of Hiroshi Kuga 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 Hiroshi Kuga. Hiroshi Kuga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 20 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 58 | |
| 10 | 38 | |
| 11 | 23 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | Intracellular roles of SN-38, a metabolite of the camptothecin derivative CPT-11, in the antitumor effect of CPT-11.breakdown → | 762 |
| 15 | 59 | |
| 16 | 29 | |
| 17 | Adecypenol, a unique adenosine deaminase inhibitor containing homopurine and cyclopentene rings. Taxonomy, production and enzyme inhibition.:TAXONOMY, PRODUCTION AND ENZYME INHIBITION | 1 |
| 18 | 12 | |
| 19 | 4 | |
| 20 | 1 |
About Hiroshi Kuga
Hiroshi Kuga is a scholar working on Toxicology, Biotechnology and Biomaterials, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Toxicology (104 citations), Oncology (676 citations) and Molecular Biology (840 citations). Hiroshi Kuga has collaborated with scholars based in Japan and Germany. Frequent co-authors include Yasuhide Hirota, Keiki Sato, Yasuyoshi Kawato, Masashi Aonuma, Nobutaka Imamura, Satoshi Ōmura, Yoshinobu Shiose, Haruo Tanaka, Mitsuru Hashida and Fumiyoshi Yamashita. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Cancer and European Journal of Immunology.
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.