Shigeki Kashimoto
- Molecular Biology
- Organic Chemistry top 10%
- Oncology
- Immunology
- Small Animals top 5%
- Co-authors
- Yuji SatoKatsumi ChibaShinichi NakamuraKatsuhisa NakataMasaaki YamadaHiroaki YoshidaTsuyoshi KojimaMasaaki Sawa
- Topics
- Bioactive Compounds and Antitumor Agents (4 papers)Cancer therapeutics and mechanisms (4 papers)Veterinary medicine and infectious diseases (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Shigeki Kashimoto
21 papers receiving 698 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 339
- Organic Chemistry 243
- Oncology 185
- Immunology 118
- Small Animals 79
Countries citing papers authored by Shigeki Kashimoto
This map shows the geographic impact of Shigeki Kashimoto'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 Shigeki Kashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeki Kashimoto more than expected).
Fields of papers citing papers by Shigeki Kashimoto
This network shows the impact of papers produced by Shigeki Kashimoto. 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 Shigeki Kashimoto. The network helps show where Shigeki Kashimoto may publish in the future.
Co-authorship network of co-authors of Shigeki Kashimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeki Kashimoto. A scholar is included among the top collaborators of Shigeki Kashimoto 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 Shigeki Kashimoto. Shigeki Kashimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 20 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 128 | |
| 6 | 3 | |
| 7 | [In vivo activity of liposomal amphotericin B against Exophiala dermatitidis in a murine lethal infection model]. | 3 |
| 8 | 29 | |
| 9 | 52 | |
| 10 | 33 | |
| 11 | 34 | |
| 12 | 28 | |
| 13 | 47 | |
| 14 | A study of brominated compound release from appliance-recycling facility | 9 |
| 15 | 96 | |
| 16 | 2 | |
| 17 | Combination effect of recombinant human interleukin 1 alpha with antitumor drugs on syngeneic tumors in mice. | 18 |
| 18 | Antitumor effect of recombinant human interleukin 1 alpha against murine syngeneic tumors. | 82 |
| 19 | ABSORPTION, DISTRIBUTION, EXCRETION AND METABOLISM OF AT-2266 IN EXPERIMENTAL ANIMALS | 11 |
| 20 | 36 |
About Shigeki Kashimoto
Shigeki Kashimoto is a scholar working on Toxicology, Small Animals and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 733 indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (4 papers), Cancer therapeutics and mechanisms (4 papers) and Veterinary medicine and infectious diseases (4 papers). The work is most often cited by research in Toxicology (74 citations), Small Animals (79 citations) and Organic Chemistry (243 citations). Shigeki Kashimoto has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yuji Sato, Katsumi Chiba, Shinichi Nakamura, Katsuhisa Nakata, Masaaki Yamada, Hiroaki Yoshida, Tsuyoshi Kojima, Masaaki Sawa, Koichi Fujimoto and Hironori Kinoshita. Their work appears in journals such as Nature Communications, Cancer Research and Journal of Medicinal 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.