Takusaburo Ebina
- Pharmacology top 1%
- Fungal Biology and Applications 8
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 19
- Small Animals top 2%
- Immunology top 5%
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 7
- Pharmacology top 2%
- Fungal Biology and Applications 8
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- Cancer Research and Treatments 10
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- Animal Virus Infections Studies 8
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- Virus-based gene therapy research 6
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- Respiratory viral infections research 6
- Co-authors
- Nakao IshidaYoshiaki FujimiyaN. IshidaRyuichi KatakuraNobuyuki AbeYouichi SuzukiHiroshi SuzukiMotoo Saito
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takusaburo Ebina
104 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 107
- Pharmacology 316
- Infectious Diseases 538
- Small Animals 203
- Immunology 549
- Pharmacology 397
Countries citing papers authored by Takusaburo Ebina
This map shows the geographic impact of Takusaburo Ebina'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 Takusaburo Ebina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takusaburo Ebina more than expected).
Fields of papers citing papers by Takusaburo Ebina
This network shows the impact of papers produced by Takusaburo Ebina. 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 Takusaburo Ebina. The network helps show where Takusaburo Ebina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takusaburo Ebina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 29 | |
| 2 | 2003 | 10 | |
| 3 | 2002 | 36 | |
| 4 | [Antitumor effect of the plant alkaloid preparation, cepharanthin]. | 2001 | 1 |
| 5 | 2000 | 14 | |
| 6 | 1999 | 9 | |
| 7 | 1998 | 92 | |
| 8 | 1998 | 12 | |
| 9 | 1997 | 31 | |
| 10 | 1994 | 1 | |
| 11 | 1992 | 17 | |
| 12 | [Antitumor Effector mechanism of plant alkaloid preparation, cepharanthin, by intratumoral administration]. | 1991 | 1 |
| 13 | [Antitumor effect of Cepharanthin in the double grafted tumor system]. | 1990 | 9 |
| 14 | 1990 | 17 | |
| 15 | 1989 | 18 | |
| 16 | 1988 | 21 | |
| 17 | 1987 | 30 | |
| 18 | 1987 | 35 | |
| 19 | 1986 | 2 | |
| 20 | Inhibition of ligand-independent cap formation of mouse lymphocytes and Raji cells by neocarzinostatin. | 1979 | 4 |
About Takusaburo Ebina
Takusaburo Ebina is a scholar working on Toxicology, Immunology and Biotechnology, having authored 104 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (19 papers), Immune Cell Function and Interaction (17 papers), Cancer Research and Treatments (10 papers), Fungal Biology and Applications (8 papers), Animal Virus Infections Studies (8 papers), Immunotherapy and Immune Responses (7 papers), Virus-based gene therapy research (6 papers) and Respiratory viral infections research (6 papers). The work is most often cited by research in Pharmacology (316 citations), Infectious Diseases (538 citations) and Small Animals (203 citations). Takusaburo Ebina has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nakao Ishida, Yoshiaki Fujimiya, N. Ishida, Ryuichi Katakura, Nobuyuki Abe, Youichi Suzuki, Hiroshi Suzuki, Motoo Saito, T. Konno and Hisashi Aso.
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.