Takeyuki Kohno
- Virology top 10%
-
- T-cell and Retrovirus Studies 10
-
- Monoclonal and Polyclonal Antibodies Research 18
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 9
-
- Protein purification and stability 14
- Sphingolipid Metabolism and Signaling 11
- Advanced Biosensing Techniques and Applications 7
-
- Diabetes and associated disorders 8
-
- Vector-Borne Animal Diseases 8
- Co-authors
- Eiji IshikawaSeiichi HashidaKazuhito WatabeTakumi TsujiTetsuro FujitaKōichiro TanakaYuya YoshidaShigeru Matsukura
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Annals of the New York Academy of Sciences (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Takeyuki Kohno
85 papers receiving 737 citations
Peers
Comparison fields: 5 of 95
- Virology 67
- Immunology 211
- Radiology, Nuclear Medicine and Imaging 189
- Agronomy and Crop Science 63
- Molecular Biology 344
Countries citing papers authored by Takeyuki Kohno
This map shows the geographic impact of Takeyuki Kohno'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 Takeyuki Kohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeyuki Kohno more than expected).
Fields of papers citing papers by Takeyuki Kohno
This network shows the impact of papers produced by Takeyuki Kohno. 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 Takeyuki Kohno. The network helps show where Takeyuki Kohno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeyuki Kohno, 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 | 2024 | 0 | |
| 2 | 2022 | 2 | |
| 3 | 2018 | 2 | |
| 4 | 2012 | 1 | |
| 5 | 2012 | 2 | |
| 6 | 2012 | 17 | |
| 7 | 2011 | 17 | |
| 8 | 2006 | 6 | |
| 9 | Potential efficacy of gelatin microspheres as a new adjuvant for oral vaccination | 1998 | 5 |
| 10 | 1998 | 8 | |
| 11 | 1996 | 29 | |
| 12 | 1994 | 2 | |
| 13 | 1994 | 7 | |
| 14 | 1992 | 3 | |
| 15 | 1992 | 2 | |
| 16 | 1991 | 21 | |
| 17 | 1991 | 7 | |
| 18 | 1990 | 6 | |
| 19 | 1990 | 4 | |
| 20 | 1989 | 6 |
About Takeyuki Kohno
Takeyuki Kohno is a scholar working on Immunology, Pharmacology and Agronomy and Crop Science, having authored 89 papers that have together received 755 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Protein purification and stability (14 papers), Sphingolipid Metabolism and Signaling (11 papers), T-cell and Retrovirus Studies (10 papers), Animal Disease Management and Epidemiology (9 papers), Diabetes and associated disorders (8 papers), Vector-Borne Animal Diseases (8 papers) and Advanced Biosensing Techniques and Applications (7 papers). The work is most often cited by research in Virology (67 citations), Immunology (211 citations) and Radiology, Nuclear Medicine and Imaging (189 citations). Takeyuki Kohno has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Eiji Ishikawa, Seiichi Hashida, Kazuhito Watabe, Takumi Tsuji, Tetsuro Fujita, Kōichiro Tanaka, Yuya Yoshida, Shigeru Matsukura, Akiko Abe and Kouichi Hirota. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and European Journal of Biochemistry.
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.