Masatoshi Onoda

472 citations
13 papers · 392 indexed · h-index 9
Topics
Mitochondrial Function and Pathology (7 papers)Metabolism and Genetic Disorders (5 papers)RNA modifications and cancer (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Masatoshi Onoda

12 papers receiving 366 citations

Peers

Masatoshi Onoda
Comparison fields: 5 of 61
  • Molecular Biology 225
  • Clinical Biochemistry 158
  • Endocrinology, Diabetes and Metabolism 84
  • Physiology 70
  • Surgery 64
Replace Masataka Ohtomo with:
Masataka Ohtomo Japan
H.-U. Häring Germany
Rosa Falcón Spain
A. Beyer‐Mears United States
José María Manzanares Spain
A Virkamäki Finland
Zeinab Hegab United Kingdom
A. Teitelbaum Israel
Marie‐Claude Brulhart‐Meynet Switzerland
V Sathiyapriya India
Masatoshi Onoda relative to Masataka Ohtomo Japan Masataka Ohtomo's profile →
Citations per field
00.5×1.5×
Masataka Ohtomo · 1×
Citations per year

Countries citing papers authored by Masatoshi Onoda

Since Specialization
Citations

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

Fields of papers citing papers by Masatoshi Onoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Onoda

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 120
2 17
3 37
4 23
5 20
6 15
7 50
8 5
9 73
10 27
11
Enhanced expression of type 2C protein phosphatase gene during myogenic differentiation of C3H10T1/2 cells.
3
12 1
13 1

About Masatoshi Onoda

Masatoshi Onoda is a scholar working on Clinical Biochemistry, Developmental Neuroscience and Molecular Biology, having authored 13 papers that have together received 392 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (5 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Clinical Biochemistry (158 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Molecular Biology (225 citations). Masatoshi Onoda has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshinori Hinokio, Hiroaki Akai, Susumu Suzuki, Masataka Ohtomo, Takayoshi Toyota, Masashi Hirai, Aki Hirai, Yoshinori Sato, Satoshi Hirai and Masahiro Matsumoto. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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