Sadayuki Matuda

27 papers receiving 539 citations

Peers

Sadayuki Matuda
Comparison fields: 5 of 59
  • Biochemistry 242
  • Clinical Biochemistry 176
  • Hepatology 101
  • Neurology 165
  • Cellular and Molecular Neuroscience 77
Replace William J. Zinnanti with:
William J. Zinnanti United States
Emilie Schrepfer Italy
Katharina Danhauser Germany
Belén Mollá Spain
F Schapira France
G. K. Brown United Kingdom
Nanna Cornelius Denmark
Ryo Hatano Japan
K Takki Finland
Patrizia Annunziata Italy
Sadayuki Matuda relative to William J. Zinnanti United States William J. Zinnanti's profile →
Citations per field
00.5×10×12.6×
William J. Zinnanti · 1×
Citations per year

Countries citing papers authored by Sadayuki Matuda

Since Specialization
Citations

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

Fields of papers citing papers by Sadayuki Matuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994161
2 1996108
3 199135
4 199834
5 198332
6 199129
7 199428
8 198222
9 199219
10 199319
11 19979
12 19857
13 19876
14 20105
15 19885
16 19933
17 20023
18 19793
19 19793
20 19843

About Sadayuki Matuda

Sadayuki Matuda is a scholar working on Clinical Biochemistry, Biochemistry, Molecular Biology, Cell Biology and Immunology, having authored 29 papers that have together received 547 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (20 papers), Biochemical Acid Research Studies (20 papers), Amino Acid Enzymes and Metabolism (5 papers), Mitochondrial Function and Pathology (5 papers), Coenzyme Q10 studies and effects (3 papers), Muscle metabolism and nutrition (3 papers), Hemoglobin structure and function (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biochemistry (242 citations), Clinical Biochemistry (176 citations), Hepatology (101 citations), Neurology (165 citations) and Cellular and Molecular Neuroscience (77 citations). Sadayuki Matuda has collaborated with scholars based in Japan and United States. Frequent co-authors include Takeyori Saheki, Hiroyo Yoshino, S Ikebe, Hideo Mori, Nobutaka Hattori, Yoshikuni Mizuno, Kyoko Nakano, Shigeo Ohta, Shiro Nakagawa and D Alarcón-Segovia. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Biochemistry, Biochimica et Biophysica Acta (BBA) - General Subjects, Annals of Neurology and Journal of Inherited Metabolic Disease.

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.

Explore authors with similar magnitude of impact