S. Yasuda

915 citations
41 papers · 638 · h-index 15

Impact in

Papers in

S. Yasuda

36 papers receiving 622 citations

Peers

S. Yasuda
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 166
  • Electrical and Electronic Engineering 227
  • Hardware and Architecture 24
  • Materials Chemistry 140
  • Computer Networks and Communications 55
Replace Pavel Stejskal with:
Pavel Stejskal Czechia
Zhi Chen China
Vincent Zhang United States
Kyle Preston United States
Partha Sarathi Chakraborty India
Songtao Feng China
K. Tsuchida Japan
Hanyi Ding China
Xing Lü China
Liane Bernstein United States
S. Yasuda relative to Pavel Stejskal Czechia Pavel Stejskal's profile →
Citations per field
00.5×5.4×
Pavel Stejskal · 1×
Citations per year

Countries citing papers authored by S. Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by S. Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 200964
3 200254
4 201450
5 201045
6 200439
7 200238
8 200835
9 200522
10 200417
11 200316
12 200416
13 200815
14 202014
15 200114
16 200313
17 201813
18 200411
19 20239
20 20216

About S. Yasuda

S. Yasuda is a scholar working on Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Oncology, having authored 41 papers that have together received 638 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Thyroid Disorders and Treatments (4 papers), Electrostatic Discharge in Electronics (4 papers), Head and Neck Anomalies (3 papers), Quantum-Dot Cellular Automata (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Carbon Nanotubes in Composites (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (166 citations), Electrical and Electronic Engineering (227 citations), Hardware and Architecture (24 citations), Materials Chemistry (140 citations) and Computer Networks and Communications (55 citations). S. Yasuda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Shinobu Fujita, Bipul C. Paul, Gael F. Close, Deji Akinwande, Masako Matsumoto, Jaeduk Yoshimura Noh, Koji Mukasa, Shotaro Sato, Seizo Onoe and Koichi Ito. Their work appears in journals such as Endocrinology, BMC Endocrine Disorders, IEEE Transactions on Electron Devices, Thyroid and Clinical Endocrinology.

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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