Satoshi Tada

1.1k citations
38 papers · 464 · h-index 12

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 6
    • Peripheral Neuropathies and Disorders 3
    • Neurological disorders and treatments 2

Satoshi Tada

36 papers receiving 458 citations

Peers

Satoshi Tada
Comparison fields: 5 of 86
  • Neurology 95
  • Developmental Neuroscience 18
  • Oncology 107
  • Epidemiology 114
  • Cellular and Molecular Neuroscience 40
Replace Wolf Müller with:
Wolf Müller Germany
Carla Martinelli Italy
Tessa Hedley-Whyte United States
Peter O’Gara United States
Kenya Kanazawa Japan
Jincao Chen China
H. Tachibana Japan
Aaron E. Miller United States
R.H. Boerman Netherlands
Hayato Yabe Japan
Satoshi Tada relative to Wolf Müller Germany Wolf Müller's profile →
Citations per field
00.5×2.9×
Wolf Müller · 1×
Citations per year

Countries citing papers authored by Satoshi Tada

Since Specialization
Citations

This map shows the geographic impact of Satoshi Tada'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 Satoshi Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Tada more than expected).

Fields of papers citing papers by Satoshi Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Tada. 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 Satoshi Tada. The network helps show where Satoshi Tada may publish in the future.

Co-authors

The 25 scholars most cited alongside Satoshi Tada, 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 Satoshi Tada Line = papers co-authored together Satoshi Tada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016142
2 200359
3 201229
4 199622
5 201721
6 200920
7 201520
8 202118
9 202016
10 201913
11 199811
12 201911
13 20119
14 20237
15 20227
16 20216
17 20176
18 20206
19 20225
20 20225

About Satoshi Tada

Satoshi Tada is a scholar working on Neurology, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 38 papers that have together received 464 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Multiple Sclerosis Research Studies (4 papers), Peripheral Neuropathies and Disorders (3 papers), Cholesterol and Lipid Metabolism (2 papers), Neurological disorders and treatments (2 papers), Analytical Chemistry and Chromatography (2 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Neurology (95 citations), Developmental Neuroscience (18 citations), Oncology (107 citations), Epidemiology (114 citations) and Cellular and Molecular Neuroscience (40 citations). Satoshi Tada has collaborated with scholars based in Japan and United States. Frequent co-authors include Masahiro Nagai, Rina Ando, Koji Murao, Toshihiko Ishida, Hayato Yabe, Hitomi Imachi, Koichi Yamaguchi, Yuki Yamanishi, Shigeki Umemura and Masahiro Nomoto. Their work appears in journals such as Journal of the Neurological Sciences, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Parkinsonism & Related Disorders, Journal of Clinical Laboratory Analysis and Organic & Biomolecular 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.

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