Hitoshi Suda

37 papers receiving 750 citations

Peers

Hitoshi Suda
Comparison fields: 5 of 100
  • Aging 144
  • Structural Biology 32
  • Surfaces, Coatings and Films 78
  • Endocrine and Autonomic Systems 45
  • Biological Psychiatry 16
Replace G Schulze with:
G Schulze Germany
Jun-ichi Kishikawa Japan
Jonathan E. Kohn United States
Hiroshi Matsumoto Japan
Masahiro Kuramochi Japan
Chunbo Yuan China
Sandy Harper United States
Kenichi Nakazato Japan
Luis Marcelo F. Holthauzen United States
Joachim Biwersi United States
Hitoshi Suda relative to G Schulze Germany G Schulze's profile →
Citations per field
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G Schulze · 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 200399
2 200285
3 200684
4 200654
5 200049
6 200541
7 200140
8 200738
9 200528
10 199921
11 199520
12 200019
13 200919
14 200117
15 201716
16 200715
17 199213
18 201012
19 199911
20 199910

About Hitoshi Suda

Hitoshi Suda is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Atomic and Molecular Physics, and Optics and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 774 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), Spaceflight effects on biology (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Junctions and Nanostructures (3 papers). The work is most often cited by research in Aging (144 citations), Structural Biology (32 citations), Surfaces, Coatings and Films (78 citations), Endocrine and Autonomic Systems (45 citations) and Biological Psychiatry (16 citations). Hitoshi Suda has collaborated with scholars based in Japan and United States. Frequent co-authors include Satoshi Yamada, Akio Kobori, Kazuhiko Nakatani, Naoaki Ishii, Kayo Yasuda, Isao Saito, Souta Horie, Yuji C. Sasaki, Jinhua Zhang and Kimikazu Iwami. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Colloid and Interface Science, Journal of Theoretical Biology, Bioscience Biotechnology and Biochemistry and Mechanisms of Ageing and Development.

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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