Shingo Kariya
Impact in
Papers in
-
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- Mitochondrial Function and Pathology 5
- Ubiquitin and proteasome pathways 3
- Genetics 12
- Neurogenetic and Muscular Disorders Research 12
- Co-authors
- Umrao R. Monani (8 shared papers)Gyu-Hwan Park (2 shared papers)Satoshi Ueno (11 shared papers)Cathleen Lutz (2 shared papers)Makito Hirano (11 shared papers)Yuka Maeno-Hikichi (1 shared paper)Marc S. Arkovitz (1 shared paper)Lynn T. Landmesser (1 shared paper)
- Journals
- Human Molecular Genetics (4 papers)Molecular and Cellular Biochemistry (2 papers)Journal of Molecular Neuroscience (2 papers)Journal of Clinical Investigation (2 papers)Neuroreport (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Shingo Kariya
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 72
- Genetics 908
- Neurology 267
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 239
- Neurology 100
Countries citing papers authored by Shingo Kariya
This map shows the geographic impact of Shingo Kariya'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 Shingo Kariya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Kariya more than expected).
Fields of papers citing papers by Shingo Kariya
This network shows the impact of papers produced by Shingo Kariya. 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 Shingo Kariya. The network helps show where Shingo Kariya may publish in the future.
Co-authors
The 25 scholars most cited alongside Shingo Kariya, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 357 | |
| 2 | 2014 | 322 | |
| 3 | 2011 | 126 | |
| 4 | 2014 | 105 | |
| 5 | 2011 | 92 | |
| 6 | 2014 | 89 | |
| 7 | 2002 | 70 | |
| 8 | 2007 | 63 | |
| 9 | 2012 | 44 | |
| 10 | 2010 | 44 | |
| 11 | 2003 | 42 | |
| 12 | 2005 | 39 | |
| 13 | 2005 | 33 | |
| 14 | 2005 | 30 | |
| 15 | 2008 | 30 | |
| 16 | 2018 | 21 | |
| 17 | 2005 | 16 | |
| 18 | 2004 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2024 | 9 |
About Shingo Kariya
Shingo Kariya is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (12 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Mitochondrial Function and Pathology (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), GDF15 and Related Biomarkers (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Genetics (908 citations), Neurology (267 citations), Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (239 citations) and Neurology (100 citations). Shingo Kariya has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Umrao R. Monani, Gyu-Hwan Park, Satoshi Ueno, Cathleen Lutz, Makito Hirano, Yuka Maeno-Hikichi, Marc S. Arkovitz, Lynn T. Landmesser, Diane B. Ré and Yoshiko Furiya. Their work appears in journals such as Human Molecular Genetics, Molecular and Cellular Biochemistry, Journal of Molecular Neuroscience, Journal of Clinical Investigation and Neuroreport.
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.