Satoshi Yoshiji

1.4k citations
34 papers · 604 indexed · 1 hit paper · h-index 8
Topics
Genetic Associations and Epidemiology (10 papers)Diabetes Treatment and Management (6 papers)Liver Disease Diagnosis and Treatment (5 papers)

In The Last Decade

Satoshi Yoshiji

30 papers receiving 602 citations

Hit Papers

Genomic atlas of the plasma metabolome prioritizes metabo...20232026202420252023100200300400

Peers

Satoshi Yoshiji
Comparison fields: 5 of 81
  • Molecular Biology 248
  • Genetics 177
  • Epidemiology 103
  • Endocrinology, Diabetes and Metabolism 92
  • Surgery 73
Replace Shengqiang Yu with:
Shengqiang Yu China
Matthew Davies Australia
Arianna Maiorana Italy
Joe Devaney United States
Marcelino Bermúdez-López Spain
Baoli Liu China
A. Evans United Kingdom
Rana Malek United States
John Lane United States
Giray Bozkaya Türkiye
Satoshi Yoshiji relative to Shengqiang Yu China Shengqiang Yu's profile →
Citations per field
00.5×6.9×
Shengqiang Yu · 1×
Citations per year

Countries citing papers authored by Satoshi Yoshiji

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Yoshiji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Yoshiji

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

All Works

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Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseasesbreakdown →
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About Satoshi Yoshiji

Satoshi Yoshiji is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Nephrology, having authored 34 papers that have together received 604 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Diabetes Treatment and Management (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (177 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Cancer Research (69 citations). Satoshi Yoshiji has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include J. Brent Richards, Tianyuan Lu, Guillaume Butler‐Laporte, Tomoko Nakanishi, Celia M.T. Greenwood, Vincenzo Forgetta, Yiheng Chen, Yossi Farjoun, Kevin Y. H. Liang and Chen‐Yang Su. Their work appears in journals such as Nature Communications, Nature Genetics and Bioinformatics.

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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