Kazushi Okamoto

2.1k citations
55 papers · 1.5k indexed · h-index 21
Topics
Amyotrophic Lateral Sclerosis Research (7 papers)Dementia and Cognitive Impairment Research (7 papers)Health and Wellbeing Research (6 papers)
Partner nations
JapanIndiaUnited States

In The Last Decade

Kazushi Okamoto

50 papers receiving 1.5k citations

Peers

Kazushi Okamoto
Comparison fields: 5 of 135
  • Surgery 331
  • Genetics 269
  • Epidemiology 268
  • Neurology 243
  • Pathology and Forensic Medicine 180
Replace Hirotsugu Miyake with:
Hirotsugu Miyake Japan
María Jesús García de Yébenes Spain
Michiyo Takayama Japan
Patrick F. McArdle United States
D. K. McCulloch United States
Jennifer W. Bea United States
Jon Heggland Norway
Franco Culasso Italy
Subhash Kaul India
Kazushi Okamoto relative to Hirotsugu Miyake Japan Hirotsugu Miyake's profile →
Citations per field
00.5×4.3×
Hirotsugu Miyake · 1×
Citations per year

Countries citing papers authored by Kazushi Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kazushi Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazushi Okamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kazushi Okamoto. A scholar is included among the top collaborators of Kazushi Okamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazushi Okamoto. Kazushi Okamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 7
3 11
4 9
5 8
6 0
7 23
8 7
9 7
10 21
11 22
12
A Sharing Engine of Knowledge Unions
0
13 307
14 14
15 77
16 75
17 32
18 8
19 12
20 13

About Kazushi Okamoto

Kazushi Okamoto is a scholar working on Neurology, Library and Information Sciences and Neuropsychology and Physiological Psychology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Health and Wellbeing Research (6 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (30 citations), Neurology (243 citations) and Health (130 citations). Kazushi Okamoto has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Gén Kobashi, Masakazu Washio, Yoshihiro Miyake, Tetsuji Yokoyama, Naomasa Sakamoto, Satoshi Sasaki, Heizo Tanaka, Yutaka Inaba, Yūko Tanaka and Kenji Wakai. Their work appears in journals such as PLoS ONE, Stroke and Spine.

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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