Maki Yoshio

902 citations
19 papers · 720 indexed · h-index 9
Topics
Cardiomyopathy and Myosin Studies (7 papers)Muscle Physiology and Disorders (4 papers)Cellular Mechanics and Interactions (3 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Maki Yoshio

18 papers receiving 707 citations

Peers

Maki Yoshio
Comparison fields: 5 of 93
  • Molecular Biology 514
  • Cardiology and Cardiovascular Medicine 125
  • Cell Biology 108
  • Genetics 103
  • Oncology 87
Replace R. Azarnia with:
R. Azarnia United States
Г. П. Пинаев Russia
Tomohiko Ishikawa Japan
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M A Strehler-Page United States
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Countries citing papers authored by Maki Yoshio

Since Specialization
Citations

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

Fields of papers citing papers by Maki Yoshio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Yoshio

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Yoshio. A scholar is included among the top collaborators of Maki Yoshio 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 Maki Yoshio. Maki Yoshio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 51
2 4
3 5
4 18
5 6
6 34
7 39
8 56
9 0
10 54
11 7
12 18
13 8
14
Authentication of a human lymphoblastoid cell line producing a retrovirus and the infectivity of human T-cell and B-cell lines with the virus.
1
15 389
16 25
17
DNA replication of simian virus 40 chromatin in digitonin-treated and saponin-treated permeable cells.
2
18 1
19
Nucleotide requirements for DNA replication of SV40 chromatin in digitonin-treated and saponin-treated permeable cells.
2

About Maki Yoshio

Maki Yoshio is a scholar working on Equine, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 720 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Muscle Physiology and Disorders (4 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Molecular Biology (514 citations), Cell Biology (108 citations) and Cardiology and Cardiovascular Medicine (125 citations). Maki Yoshio has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Peter K. Vogt, Timothy J. Bos, Michael W. Starbuck, Charles E. Davis, Kazuhiro Oiwa, Akira Yamada, Hiroaki Kojima, László Nyitray, Stephen H. Benedict and Hiroyuki Koike. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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