Tomoyasu Isobe
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
- Hematology top 10%
Papers in
- Oncology 16
- Cancer-related Molecular Pathways 9
- Cytokine Signaling Pathways and Interactions 3
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- Ubiquitin and proteasome pathways 7
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- Co-authors
- Kazuyuki Yoshizaki (7 shared papers)Teppei Nishikawa (3 shared papers)Keisuke Hagihara (3 shared papers)Masatoshi Kitagawa (12 shared papers)Kyoko Kitagawa (11 shared papers)Toshiaki Oda (11 shared papers)Chiharu Uchida (11 shared papers)Takayuki Hattori (11 shared papers)
In The Last Decade
Tomoyasu Isobe
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Oncology 399
- Hematology 128
- Molecular Biology 676
- Rheumatology 101
- Immunology 148
Countries citing papers authored by Tomoyasu Isobe
This map shows the geographic impact of Tomoyasu Isobe'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 Tomoyasu Isobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyasu Isobe more than expected).
Fields of papers citing papers by Tomoyasu Isobe
This network shows the impact of papers produced by Tomoyasu Isobe. 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 Tomoyasu Isobe. The network helps show where Tomoyasu Isobe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoyasu Isobe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 148 | |
| 2 | 2004 | 148 | |
| 3 | 2005 | 137 | |
| 4 | 2013 | 118 | |
| 5 | 2008 | 105 | |
| 6 | 2007 | 81 | |
| 7 | 2014 | 77 | |
| 8 | 2006 | 70 | |
| 9 | 2009 | 53 | |
| 10 | 2009 | 43 | |
| 11 | 2015 | 39 | |
| 12 | 2009 | 28 | |
| 13 | 2006 | 22 | |
| 14 | 2007 | 20 | |
| 15 | 2007 | 13 | |
| 16 | 2013 | 11 | |
| 17 | 2005 | 11 | |
| 18 | 2010 | 11 | |
| 19 | 2013 | 9 | |
| 20 | 2008 | 6 |
About Tomoyasu Isobe
Tomoyasu Isobe is a scholar working on Oncology, Molecular Biology, Genetics, Cancer Research and Surgery, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (7 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), interferon and immune responses (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Oncology (399 citations), Hematology (128 citations), Molecular Biology (676 citations), Rheumatology (101 citations) and Immunology (148 citations). Tomoyasu Isobe has collaborated with scholars based in Japan, Singapore and Russia. Frequent co-authors include Kazuyuki Yoshizaki, Teppei Nishikawa, Keisuke Hagihara, Masatoshi Kitagawa, Kyoko Kitagawa, Toshiaki Oda, Chiharu Uchida, Takayuki Hattori, Yasuhiro Sugamata and Jian Song. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Research, FEBS Letters, Nature Communications and Carcinogenesis.
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.