Tomoyuki Yuasa

697 total citations
28 papers, 544 citations indexed

About

Tomoyuki Yuasa is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tomoyuki Yuasa has authored 28 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tomoyuki Yuasa's work include Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (8 papers) and Chronic Kidney Disease and Diabetes (5 papers). Tomoyuki Yuasa is often cited by papers focused on Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (8 papers) and Chronic Kidney Disease and Diabetes (5 papers). Tomoyuki Yuasa collaborates with scholars based in Japan, Australia and United States. Tomoyuki Yuasa's co-authors include Yousuke Ebina, Cordula Hohnen-Behrens, Kyle L. Hoehn, David E. James, Anna Cederberg, Nigel Turner, Lindsay E. Wu, Kazuhiro Kishi, Hideki Hayashi and Asako Minami and has published in prestigious journals such as Neurology, Cell Metabolism and Diabetes.

In The Last Decade

Tomoyuki Yuasa

25 papers receiving 535 citations

Peers

Tomoyuki Yuasa
Comparison fields: 5 of 83
  • Molecular Biology 337
  • Physiology 184
  • Surgery 114
  • Epidemiology 75
  • Endocrinology, Diabetes and Metabolism 66
Ilana Talior Israel
Yanjuan Zhu China
Hideki Sakai Japan
Kevin Vivot France
Peter‐James H. Zushin United States
Sara Hansson Sweden
Veronica Asnaghi United States
Zhi‐Bin Yu China
Weihua Jia China
Ilana Talior Israel View profile →
Citations per field, relative to Tomoyuki Yuasa
Tomoyuki Yuasa · 1×
Citations per year, relative to Tomoyuki Yuasa
Tomoyuki Yuasa · 1×

Countries citing papers authored by Tomoyuki Yuasa

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Yuasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Yuasa

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Yuasa. A scholar is included among the top collaborators of Tomoyuki Yuasa 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 Tomoyuki Yuasa. Tomoyuki Yuasa 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
# Work Indexed citations
1 1
2 0
3 2
4 2
5 14
6 5
7 0
8 1
9 2
10 5
11 26
12 14
13 12
14 15
15 13
16 248
17 15
18 21
19 54
20
Overexpression of wild-type Akt1 promoted insulin-stimulated p70S6 kinase (p70S6K) activity and affected GSK3 beta regulation, but did not promote insulin-stimulated GLUT4 translocation or glucose transport in L6 myotubes.
15

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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