Jun Goto
Impact in
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- Genetic Neurodegenerative Diseases
- Hereditary Neurological Disorders
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Neurological disorders and treatments
Papers in
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- Mitochondrial Function and Pathology 22
- Muscle Physiology and Disorders 5
- RNA regulation and disease 5
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- Genetic Neurodegenerative Diseases 33
- Co-authors
- Shoji Tsuji (46 shared papers)Ichiro Kanazawa (21 shared papers)Hideji Hashida (11 shared papers)Jun Mitsui (23 shared papers)Yuji Takahashi (25 shared papers)Hiroyuki Ishiura (27 shared papers)Osamu Onodera (4 shared papers)Yaeko Ichikawa (15 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (6 papers)Neurogenetics (5 papers)Journal of the Neurological Sciences (5 papers)Annals of Neurology (4 papers)Neurology (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Jun Goto
93 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 1.3k
- Neurology 694
- Neurology 305
- Molecular Biology 1.4k
- Cell Biology 213
Countries citing papers authored by Jun Goto
This map shows the geographic impact of Jun Goto'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 Jun Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Goto more than expected).
Fields of papers citing papers by Jun Goto
This network shows the impact of papers produced by Jun Goto. 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 Jun Goto. The network helps show where Jun Goto may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Goto, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 150 | |
| 2 | 1994 | 148 | |
| 3 | 1995 | 126 | |
| 4 | 2008 | 104 | |
| 5 | 2008 | 104 | |
| 6 | 2007 | 90 | |
| 7 | 2000 | 82 | |
| 8 | 2010 | 75 | |
| 9 | 2002 | 65 | |
| 10 | 2012 | 64 | |
| 11 | 1995 | 59 | |
| 12 | 2001 | 58 | |
| 13 | 1997 | 49 | |
| 14 | 2014 | 49 | |
| 15 | 2009 | 47 | |
| 16 | 2013 | 42 | |
| 17 | 2001 | 40 | |
| 18 | 2011 | 39 | |
| 19 | 2002 | 39 | |
| 20 | 2009 | 39 |
About Jun Goto
Jun Goto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Neurology, having authored 96 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (33 papers), Mitochondrial Function and Pathology (22 papers), Neurological disorders and treatments (8 papers), Neurological diseases and metabolism (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Muscle Physiology and Disorders (5 papers) and RNA regulation and disease (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Neurology (694 citations), Neurology (305 citations), Molecular Biology (1.4k citations) and Cell Biology (213 citations). Jun Goto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shoji Tsuji, Ichiro Kanazawa, Hideji Hashida, Jun Mitsui, Yuji Takahashi, Hiroyuki Ishiura, Osamu Onodera, Yaeko Ichikawa, Ichiro Kanazawa and Masatoyo Nishizawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neurogenetics, Journal of the Neurological Sciences, Annals of Neurology and Neurology.
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.