Toshiyuki Obata
- Condensed Matter Physics top 2%
- GaN-based semiconductor devices and materials 8
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 11
- Metabolism, Diabetes, and Cancer 8
- Protein Kinase Regulation and GTPase Signaling 6
- Cancer Research top 5%
- Oncology top 5%
- Genetics top 5%
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- Pancreatic function and diabetes 10
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- Adipose Tissue and Metabolism 6
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- Metal and Thin Film Mechanics 5
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Michael B. YaffeLewis C. CantleyGermán LeparcGlenn E. BrownToru KinoshitaShin‐ichiro InoueAtsunori KashiwagiHiroshi Maegawa
- Journals
- Journal of Biological Chemistry (7 papers)Applied Physics Letters (2 papers)Nature Biotechnology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Toshiyuki Obata
49 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 119
- Condensed Matter Physics 558
- Molecular Biology 2.9k
- Cancer Research 388
- Oncology 664
- Genetics 243
Countries citing papers authored by Toshiyuki Obata
This map shows the geographic impact of Toshiyuki Obata'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 Toshiyuki Obata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiyuki Obata more than expected).
Fields of papers citing papers by Toshiyuki Obata
This network shows the impact of papers produced by Toshiyuki Obata. 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 Toshiyuki Obata. The network helps show where Toshiyuki Obata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshiyuki Obata, 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 | 2016 | 1 | |
| 2 | 2013 | 4 | |
| 3 | 2013 | 3 | |
| 4 | 2011 | 24 | |
| 5 | 2010 | 20 | |
| 6 | 2009 | 8 | |
| 7 | 2009 | 13 | |
| 8 | 2005 | 58 | |
| 9 | 2003 | 5 | |
| 10 | 2003 | 173 | |
| 11 | 2002 | 85 | |
| 12 | 2002 | 488 | |
| 13 | 2001 | 455 | |
| 14 | 2000 | 299 | |
| 15 | 2000 | 254 | |
| 16 | 2000 | 331 | |
| 17 | 1999 | 56 | |
| 18 | 1995 | 10 | |
| 19 | 1992 | 40 | |
| 20 | 1990 | 26 |
About Toshiyuki Obata
Toshiyuki Obata is a scholar working on Condensed Matter Physics, Clinical Biochemistry and Molecular Biology, having authored 49 papers that have together received 4.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Pancreatic function and diabetes (10 papers), GaN-based semiconductor devices and materials (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Adipose Tissue and Metabolism (6 papers), Metal and Thin Film Mechanics (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Condensed Matter Physics (558 citations), Molecular Biology (2.9k citations) and Cancer Research (388 citations). Toshiyuki Obata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Michael B. Yaffe, Lewis C. Cantley, Germán Leparc, Glenn E. Brown, Toru Kinoshita, Shin‐ichiro Inoue, Atsunori Kashiwagi, Hiroshi Maegawa, Norihisa Masuyama and Yukiko Gotoh. Their work appears in journals such as Journal of Biological Chemistry, Applied Physics Letters and Nature Biotechnology.
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.