Jun Goto

5.2k citations
96 papers · 2.4k · h-index 31

Impact in

    • 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

Jun Goto

93 papers receiving 2.4k citations

Peers

Jun Goto
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 1.3k
  • Neurology 694
  • Neurology 305
  • Molecular Biology 1.4k
  • Cell Biology 213
Replace Ali Benomar with:
Ali Benomar Morocco
Laura Bannach Jardim Brazil
Paymaan Jafar‐Nejad United States
Gian Maria Fabrizi Italy
Marina Kennerson Australia
James K. Kubilus United States
Barbara Castellotti Italy
Albena Jordanova Belgium
Antonella Monticelli Italy
Maria Luiza Saraiva Pereira Brazil
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Citations per field
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Ali Benomar · 1×
Citations per year

Countries citing papers authored by Jun Goto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Goto Line = papers co-authored together Jun Goto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 1994148
3 1995126
4 2008104
5 2008104
6 200790
7 200082
8 201075
9 200265
10 201264
11 199559
12 200158
13 199749
14 201449
15 200947
16 201342
17 200140
18 201139
19 200239
20 200939

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.

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