Hitoshi Satoh
Impact in
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 6
- RNA modifications and cancer 6
- Glycosylation and Glycoproteins Research 4
-
- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Shin‐ichi Sakakibara (2 shared papers)Hideyuki Okano (2 shared papers)Jeffrey P. Harris (3 shared papers)Peter B. Billings (3 shared papers)Yuki Nakamura (1 shared paper)Elizabeth M. Keithley (3 shared papers)Gary S. Firestein (3 shared papers)Mitsuo Oshimura (4 shared papers)
- Journals
- Gene (4 papers)Blood (3 papers)Molecular Carcinogenesis (3 papers)Biochemical and Biophysical Research Communications (3 papers)Genomics (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hitoshi Satoh
120 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 147
- Sensory Systems 270
- Cancer Research 436
- Neurology 233
- Genetics 252
- Molecular Biology 1.3k
Countries citing papers authored by Hitoshi Satoh
This map shows the geographic impact of Hitoshi Satoh'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 Hitoshi Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Satoh more than expected).
Fields of papers citing papers by Hitoshi Satoh
This network shows the impact of papers produced by Hitoshi Satoh. 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 Hitoshi Satoh. The network helps show where Hitoshi Satoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Hitoshi Satoh, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 215 | |
| 2 | 2001 | 211 | |
| 3 | 2008 | 152 | |
| 4 | 1989 | 133 | |
| 5 | 2003 | 127 | |
| 6 | 2007 | 117 | |
| 7 | 2002 | 115 | |
| 8 | 2000 | 102 | |
| 9 | 2008 | 101 | |
| 10 | 2003 | 98 | |
| 11 | 2007 | 94 | |
| 12 | 1998 | 91 | |
| 13 | 1996 | 89 | |
| 14 | 1999 | 81 | |
| 15 | 1990 | 70 | |
| 16 | 1988 | 59 | |
| 17 | 2002 | 56 | |
| 18 | 2006 | 54 | |
| 19 | 1999 | 52 | |
| 20 | 2007 | 52 |
About Hitoshi Satoh
Hitoshi Satoh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 138 papers that have together received 3.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Virus-based gene therapy research (7 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), AI in cancer detection (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Sensory Systems (270 citations), Cancer Research (436 citations), Neurology (233 citations), Genetics (252 citations) and Molecular Biology (1.3k citations). Hitoshi Satoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shin‐ichi Sakakibara, Hideyuki Okano, Jeffrey P. Harris, Peter B. Billings, Yuki Nakamura, Elizabeth M. Keithley, Gary S. Firestein, Mitsuo Oshimura, Shigeo Mori and Hideto Yamada. Their work appears in journals such as Gene, Blood, Molecular Carcinogenesis, Biochemical and Biophysical Research Communications and Genomics.
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.