Yu Chiba

18 papers receiving 420 citations

Peers

Yu Chiba
Comparison fields: 5 of 75
  • Endocrine and Autonomic Systems 41
  • Cardiology and Cardiovascular Medicine 125
  • Epidemiology 182
  • Endocrinology, Diabetes and Metabolism 87
  • Physiology 119
Replace Harman S. Mattu with:
Harman S. Mattu United Kingdom
Huili Wei China
Ömür Kuru Türkiye
Andrea L. McConico United States
Nathanja Tjeerdema Netherlands
Attila Valikovics Hungary
Mineo Kodama Japan
Kajetan Juszczak Poland
Michał Hoffmann United States
Magdalena Makowiecka‐Cieśla Poland
Yu Chiba relative to Harman S. Mattu United Kingdom Harman S. Mattu's profile →
Citations per field
00.5×1.5×2.2×
Harman S. Mattu · 1×
Citations per year

Countries citing papers authored by Yu Chiba

Since Specialization
Citations

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

Fields of papers citing papers by Yu Chiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005157
2 200760
3 200450
4 200633
5 200628
6 200526
7 201317
8 200515
9 200814
10 200610
11 20104
12 20083
13 20053
14 20083
15 20052
16 19962
17
Studies on Adhesion Properties of Shellac to Bovine Enamel
20031
18 20041
19
Noninvasive estimation of muscle fiber conduction velocity distribution using an electromyographic processing technique.
20091
20 20220

About Yu Chiba

Yu Chiba is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism, Epidemiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 430 indexed citations. Recurring topics across this work include Spatial Neglect and Hemispheric Dysfunction (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Neuroscience and Neural Engineering (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Muscle activation and electromyography studies (3 papers), Ophthalmology and Visual Impairment Studies (2 papers), Death, Funerary Practices, and Mourning (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (41 citations), Cardiology and Cardiovascular Medicine (125 citations), Epidemiology (182 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Physiology (119 citations). Yu Chiba has collaborated with scholars based in Japan and United States. Frequent co-authors include Satoru Takagi, Shigeyuki Saitoh, Kazuaki Shimamoto, Nobuo Katoh, Takeshi Isobe, Hiroshi Takeuchi, Hirofumi Ohnishi, Junichi Ohata, Hiroshi Akasaka and Akira Yamaguchi. Their work appears in journals such as Hypertension Research, Brain and Cognition, Atherosclerosis, Neuropsychological Rehabilitation and IEEE Transactions on Biomedical Engineering.

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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