T Ogino
- Epidemiology top 10%
- Genetics top 10%
- Molecular Biology
- Infectious Diseases
- Immunology
- Co-authors
- K YamanishiFred RappMichiaki TakahashiMasato TakahashiKoichi BabaTakashi OtsukaM TakahashiYoshifumi Ikeda
- Topics
- Virus-based gene therapy research (18 papers)Herpesvirus Infections and Treatments (17 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)
- Cited by
- EpidemiologyGeneticsVirology
- Partner nations
- JapanUnited StatesAlbania
In The Last Decade
T Ogino
34 papers receiving 451 citations
Peers
Comparison fields: 5 of 64
- Epidemiology 313
- Genetics 206
- Molecular Biology 139
- Infectious Diseases 107
- Immunology 81
Countries citing papers authored by T Ogino
This map shows the geographic impact of T Ogino'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 T Ogino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Ogino more than expected).
Fields of papers citing papers by T Ogino
This network shows the impact of papers produced by T Ogino. 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 T Ogino. The network helps show where T Ogino may publish in the future.
Co-authorship network of co-authors of T Ogino
This figure shows the co-authorship network connecting the top 25 collaborators of T Ogino. A scholar is included among the top collaborators of T Ogino 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 T Ogino. T Ogino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 11 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | [Differentiation and detection of pathogenic determinants among diarrheogenic Escherichia coli by polymerase chain reaction using mixed primers]. | 28 |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 23 | |
| 10 | Susceptibilities of phosphonoacetic acid and acyclovir resistant varicella-zoster virus mutants to 9-beta-arabinofuranosyladenine and 1-beta-arabinofuranosylcytosine. | 2 |
| 11 | 22 | |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | Herpesvirus type 2-induced thymidine kinase and carcinoma of the cervix. | 9 |
| 16 | 23 | |
| 17 | 19 | |
| 18 | 4 | |
| 19 | 25 | |
| 20 | 2 |
About T Ogino
T Ogino is a scholar working on Genetics, Epidemiology and Endocrinology, having authored 35 papers that have together received 523 indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Herpesvirus Infections and Treatments (17 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). The work is most often cited by research in Epidemiology (313 citations), Genetics (206 citations) and Virology (29 citations). T Ogino has collaborated with scholars based in Japan, United States and Albania. Frequent co-authors include K Yamanishi, Fred Rapp, Michiaki Takahashi, Masato Takahashi, Koichi Baba, Takashi Otsuka, M Takahashi, Yoshifumi Ikeda, Shigeharu Ueda and Mamoru Noda. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology and Infection and Immunity.
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.