T Kishida
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Biotechnology top 10%
- Microbial Inactivation Methods
Papers in
-
- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Osam Mazda (10 shared papers)Jirô Imanishi (8 shared papers)Masaharu Shin‐Ya (6 shared papers)Masaki Kita (3 shared papers)Yoichiro Iwakura (1 shared paper)Yoshihiro Ueda (1 shared paper)Reiko Ito (1 shared paper)Takeshi Okanoue (1 shared paper)
- Journals
- Gene Therapy (5 papers)Annals of the Rheumatic Diseases (1 paper)Lara D. Veeken (1 paper)Clinical & Experimental Immunology (1 paper)Osteoarthritis and Cartilage (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
T Kishida
13 papers receiving 693 citations
Peers
Comparison fields: 5 of 84
- Immunology 227
- Biotechnology 72
- Genetics 187
- Cancer Research 94
- Molecular Biology 357
Countries citing papers authored by T Kishida
This map shows the geographic impact of T Kishida'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 Kishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kishida more than expected).
Fields of papers citing papers by T Kishida
This network shows the impact of papers produced by T Kishida. 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 Kishida. The network helps show where T Kishida may publish in the future.
Co-authors
The 25 scholars most cited alongside T Kishida, 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 | 2006 | 296 | |
| 2 | Suppression of growth of renal carcinoma cells by the von Hippel-Lindau tumor suppressor gene. | 1995 | 97 |
| 3 | 2001 | 85 | |
| 4 | 2006 | 56 | |
| 5 | 2006 | 49 | |
| 6 | 2001 | 43 | |
| 7 | 2003 | 43 | |
| 8 | 2015 | 17 | |
| 9 | 1992 | 13 | |
| 10 | Antitumor effects of interferon on transplanted tumors in congenitally athymic nude mice. | 1976 | 10 |
| 11 | 2006 | 4 | |
| 12 | 2003 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2006 | 1 |
About T Kishida
T Kishida is a scholar working on Molecular Biology, Immunology, Genetics, Biotechnology and Biomedical Engineering, having authored 14 papers that have together received 716 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (2 papers), Microbial Inactivation Methods (2 papers), Pluripotent Stem Cells Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Mesenchymal stem cell research (1 paper), Animal Virus Infections Studies (1 paper) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Immunology (227 citations), Biotechnology (72 citations), Genetics (187 citations), Cancer Research (94 citations) and Molecular Biology (357 citations). T Kishida has collaborated with scholars based in Japan and United States. Frequent co-authors include Osam Mazda, Jirô Imanishi, Masaharu Shin‐Ya, Masaki Kita, Yoichiro Iwakura, Yoshihiro Ueda, Reiko Ito, Takeshi Okanoue, Ryusuke Takada and Keisuke Kataoka. Their work appears in journals such as Gene Therapy, Annals of the Rheumatic Diseases, Lara D. Veeken, Clinical & Experimental Immunology and Osteoarthritis and Cartilage.
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.