T Ohuchi
Impact in
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- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
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- NF-κB Signaling Pathways
Papers in
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- Ubiquitin and proteasome pathways 3
- Glycosylation and Glycoproteins Research 2
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Oncology 4
- Cancer-related Molecular Pathways 3
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Tetsu Akiyama (3 shared papers)K Toyoshima (2 shared papers)Satoshi Sumida (1 shared paper)Kunihiro Matsumoto (1 shared paper)Jun Miyoshi (4 shared papers)Takeo Kakunaga (3 shared papers)Tatsuya Higashi (2 shared papers)Hiroki Mukai (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Biological Chemistry (1 paper)The Tohoku Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
T Ohuchi
8 papers receiving 453 citations
Peers
Comparison fields: 5 of 66
- Oncology 213
- Cancer Research 87
- Cell Biology 83
- Molecular Biology 323
- Immunology and Allergy 17
Countries citing papers authored by T Ohuchi
This map shows the geographic impact of T Ohuchi'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 Ohuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Ohuchi more than expected).
Fields of papers citing papers by T Ohuchi
This network shows the impact of papers produced by T Ohuchi. 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 Ohuchi. The network helps show where T Ohuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside T Ohuchi, 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 | 1992 | 186 | |
| 2 | 1991 | 111 | |
| 3 | 1995 | 82 | |
| 4 | 1990 | 34 | |
| 5 | 1991 | 32 | |
| 6 | 1992 | 7 | |
| 7 | Oncogenic activation of murine mos protein kinase by DNA rearrangement of its N-terminal coding region. | 1992 | 6 |
| 8 | 1992 | 2 |
About T Ohuchi
T Ohuchi is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Ophthalmology, having authored 8 papers that have together received 460 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Virus-based gene therapy research (3 papers), Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers), Microtubule and mitosis dynamics (1 paper), Machine Learning in Bioinformatics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Oncology (213 citations), Cancer Research (87 citations), Cell Biology (83 citations), Molecular Biology (323 citations) and Immunology and Allergy (17 citations). T Ohuchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Tetsu Akiyama, K Toyoshima, Satoshi Sumida, Kunihiro Matsumoto, Jun Miyoshi, Takeo Kakunaga, Tatsuya Higashi, Hiroki Mukai, Pier Paolo Di Fiore and Christoph Schumacher. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and The Tohoku Journal of Experimental Medicine.
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.