Hidetoshi Date

3.4k citations
20 papers · 1.2k · h-index 14

Impact in

Papers in

Hidetoshi Date

19 papers receiving 1.2k citations

Peers

Hidetoshi Date
Comparison fields: 5 of 76
  • Neurology 409
  • Cellular and Molecular Neuroscience 529
  • Molecular Biology 722
  • Neurology 81
  • Cell Biology 138
Replace Elide Mantuano with:
Elide Mantuano Italy
Jianwen Deng China
Norman Kock Germany
Alice B. Schindler United States
D. Sau Italy
A. Nazlı Başak Türkiye
Anna Modoni Italy
Silvia Rathke‐Hartlieb Germany
Jens Reimann Germany
Giulietta Riboldi Italy
Hidetoshi Date relative to Elide Mantuano Italy Elide Mantuano's profile →
Citations per field
00.5×2.6×
Elide Mantuano · 1×
Citations per year

Countries citing papers authored by Hidetoshi Date

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1998301
2 2010243
3 2009150
4 200976
5 201269
6 200461
7 200261
8 200450
9 200746
10 200242
11 201739
12 201121
13 200921
14 200320
15 202212
16 201211
17 20129
18 20221
19 20171
20 20250

About Hidetoshi Date

Hidetoshi Date is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Surgery and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (5 papers), DNA Repair Mechanisms (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Transplantation: Methods and Outcomes (2 papers), Hereditary Neurological Disorders (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Neurology (409 citations), Cellular and Molecular Neuroscience (529 citations), Molecular Biology (722 citations), Neurology (81 citations) and Cell Biology (138 citations). Hidetoshi Date has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Shoji Tsuji, Atsushi Iwata, Lumine Matsumoto, Akira Tamaoka, Hiroshi Takuma, Hiroshi Kurisaki, Shuichi Igarashi, Hitoshi Takahashi, Hiroki Takano and Mutsuo Oyake. Their work appears in journals such as Annals of Neurology, Biochemical and Biophysical Research Communications, Neurology, Interactive Cardiovascular and Thoracic Surgery and PLoS ONE.

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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