Yasuo Kagawa

10.7k citations
227 papers · 8.5k indexed · 2 hit papers · h-index 43
Topics
ATP Synthase and ATPases Research (78 papers)Mitochondrial Function and Pathology (59 papers)Metabolism and Genetic Disorders (29 papers)

In The Last Decade

Yasuo Kagawa

218 papers receiving 7.9k citations

Hit Papers

Partial Resolution of the Enzymes Catalyzing Oxidative Ph...1971202619892007197119892505007501000

Peers

Yasuo Kagawa
Comparison fields: 5 of 163
  • Molecular Biology 5.9k
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 883
  • Clinical Biochemistry 865
  • Nutrition and Dietetics 711
Replace Peter L. Pedersen with:
Peter L. Pedersen United States
Ulrich Brandt Germany
Ian M. Fearnley United Kingdom
Bennett Van Houten United States
Ilka Wittig Germany
Roderick Capaldi United States
Douglas R. Pfeiffer United States
Mitsutoshi Setou Japan
Ella Bossy‐Wetzel United States
Yoshinori Moriyama Japan
Yasuo Kagawa relative to Peter L. Pedersen United States Peter L. Pedersen's profile →
Citations per field
00.5×1.5×
Peter L. Pedersen · 1×
Citations per year

Countries citing papers authored by Yasuo Kagawa

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Kagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Kagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Kagawa. A scholar is included among the top collaborators of Yasuo Kagawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasuo Kagawa. Yasuo Kagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 14
3 23
4 8
5 26
6 9
7 15
8
Tailor-made nutrition based on polymorphisms of folate metabolism : Sakado Folate Projects
1
9 37
10 59
11 27
12 25
13 36
14 23
15
Robust control for automated lane keeping against lateral disturbance
0
16 18
17 9
18 35
19 3
20 130

About Yasuo Kagawa

Yasuo Kagawa is a scholar working on Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 227 papers that have together received 8.5k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (78 papers), Mitochondrial Function and Pathology (59 papers) and Metabolism and Genetic Disorders (29 papers). The work is most often cited by research in Clinical Biochemistry (865 citations), Molecular Biology (5.9k citations) and Biochemistry (550 citations). Yasuo Kagawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Efraim Racker, Masasuke Yoshida, Shigeo Ohta, Nobuhito Sone, Hajime Hirata, Toshiro Hamamoto, Hitoshi Endo, Yoshikuni Mizuno, Takayuki Ozawa and Masafumi Yohda. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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