Tetsuji Mutoh
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Sphingolipid Metabolism and Signaling 5
- RNA Research and Splicing 2
- Peroxisome Proliferator-Activated Receptors 2
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- Neuroscience and Neuropharmacology Research 2
- Axon Guidance and Neuronal Signaling 2
- Co-authors
- Jerold Chun (7 shared papers)Kyoko Noguchi (3 shared papers)Deron R. Herr (2 shared papers)Yun C. Yung (4 shared papers)Mu‐En Lin (2 shared papers)Ji Woong Choi (2 shared papers)Chang‐Wook Lee (1 shared paper)Richard Rivera (2 shared papers)
- Journals
- Neuroscience Research (2 papers)Current Opinion in Pharmacology (1 paper)The Journal of Comparative Neurology (1 paper)Genomics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Tetsuji Mutoh
15 papers receiving 1.6k citations
Tetsuji Mutoh's Hit Papers
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 132
- Cell Biology 340
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 273
- Biochemistry 93
Countries citing papers authored by Tetsuji Mutoh
This map shows the geographic impact of Tetsuji Mutoh'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 Tetsuji Mutoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuji Mutoh more than expected).
Fields of papers citing papers by Tetsuji Mutoh
This network shows the impact of papers produced by Tetsuji Mutoh. 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 Tetsuji Mutoh. The network helps show where Tetsuji Mutoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuji Mutoh, 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 | LPA Receptors: Subtypes and Biological Actions Hit paper breakdown → | 2010 | 683 |
| 2 | 2008 | 197 | |
| 3 | 2007 | 135 | |
| 4 | 2011 | 115 | |
| 5 | 2011 | 114 | |
| 6 | 2004 | 80 | |
| 7 | 2008 | 61 | |
| 8 | 2012 | 44 | |
| 9 | 2004 | 41 | |
| 10 | 2011 | 40 | |
| 11 | 2008 | 29 | |
| 12 | 2006 | 18 | |
| 13 | 2001 | 18 | |
| 14 | 2018 | 4 | |
| 15 | 2010 | 1 |
About Tetsuji Mutoh
Tetsuji Mutoh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Developmental Neuroscience, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Genomic variations and chromosomal abnormalities (2 papers), RNA Research and Splicing (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Cell Biology (340 citations), Molecular Biology (1.2k citations), Cellular and Molecular Neuroscience (273 citations) and Biochemistry (93 citations). Tetsuji Mutoh has collaborated with scholars based in Japan and United States. Frequent co-authors include Jerold Chun, Kyoko Noguchi, Deron R. Herr, Yun C. Yung, Mu‐En Lin, Ji Woong Choi, Chang‐Wook Lee, Richard Rivera, Takeshi Yagi and Shun Hamada. Their work appears in journals such as Neuroscience Research, Current Opinion in Pharmacology, The Journal of Comparative Neurology, Genomics and Journal of Biological Chemistry.
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.