Hitoshi Suda

37 papers receiving 791 citations

Peers

Hitoshi Suda
Comparison fields: 5 of 100
  • Aging 149
  • Structural Biology 33
  • Surfaces, Coatings and Films 80
  • Biological Psychiatry 19
  • Endocrine and Autonomic Systems 49
Replace Chandran R. Sabanayagam with:
Chandran R. Sabanayagam United States
Gunnar Schulze Germany
Jonathan E. Kohn United States
Ali Tinazli Germany
Chunbo Yuan China
Sandy L. Harper United States
Cédric Eichmann Switzerland
Joachim Biwersi United States
Joanna L. Richens United Kingdom
Luis Marcelo F. Holthauzen United States
Hitoshi Suda relative to Chandran R. Sabanayagam United States Chandran R. Sabanayagam's profile →
Citations per field
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Chandran R. Sabanayagam · 1×
Citations per year

Countries citing papers authored by Hitoshi Suda

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Suda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hitoshi Suda, 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 Hitoshi Suda Line = papers co-authored together Hitoshi Suda 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 2003104
2 200690
3 200284
4 200657
5 200056
6 200143
7 200542
8 200738
9 200530
10 200023
11 199921
12 200120
13 199520
14 200919
15 201717
16 200715
17 202014
18 199214
19 201012
20 199912

About Hitoshi Suda

Hitoshi Suda is a scholar working on Aging, Endocrine and Autonomic Systems, Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine and Physical and Theoretical Chemistry, having authored 38 papers that have together received 822 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Force Microscopy Techniques and Applications (7 papers), Circadian rhythm and melatonin (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Spaceflight effects on biology (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Adhesion, Friction, and Surface Interactions (3 papers). The work is most often cited by research in Aging (149 citations), Structural Biology (33 citations), Surfaces, Coatings and Films (80 citations), Biological Psychiatry (19 citations) and Endocrine and Autonomic Systems (49 citations). Hitoshi Suda has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Satoshi Yamada, Akio Kobori, Kazuhiko Nakatani, Naoaki Ishii, Kayo Yasuda, Isao Saito, Souta Horie, Yuji C. Sasaki, Kimikazu Iwami and Jinhua Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Mechanisms of Ageing and Development, Journal of Theoretical Biology, Experimental Gerontology and Journal of Colloid and Interface Science.

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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