Junko Suga

576 citations
17 papers · 462 · h-index 9

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • Ubiquitin and proteasome pathways 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Adipose Tissue and Metabolism 4

Junko Suga

16 papers receiving 453 citations

Peers

Junko Suga
Comparison fields: 5 of 61
  • Endocrine and Autonomic Systems 174
  • Physiology 158
  • Nutrition and Dietetics 88
  • Epidemiology 108
  • Molecular Biology 159
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May-Yun Wang United States
Gerald Preibisch Germany
Anne‐Marie Jaubert France
Kerry L. Mullen Canada
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Anantha S. Metlakunta United States
Anna‐Liisa Ruskeepää Finland
Sandra Weimer Germany
Vera L.F. Silveira Brazil
Yun Cao China
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Citations per field
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Citations per year

Countries citing papers authored by Junko Suga

Since Specialization
Citations

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

Fields of papers citing papers by Junko Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junko Suga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junko Suga Line = papers co-authored together Junko Suga links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1999168
2 199975
3 199855
4 199737
5 200336
6 200034
7 199813
8 199611
9 19989
10 19966
11 20186
12 20246
13 20232
14 19942
15 20031
16
[From the Standpoint of a Core Center Hospital for Cancer Genome Medicine-Establishment of a Provision System for Wide-Area Precision Oncology].
20211
17 19960

About Junko Suga

Junko Suga is a scholar working on Molecular Biology, Physiology, Surgery, Oncology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 462 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Ubiquitin and proteasome pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Pancreatic function and diabetes (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (174 citations), Physiology (158 citations), Nutrition and Dietetics (88 citations), Epidemiology (108 citations) and Molecular Biology (159 citations). Junko Suga has collaborated with scholars based in Japan. Frequent co-authors include Gen Inoue, Hiroaki Masuzaki, Kiminori Hosoda, Y Yoshimasa, Yoshihiro Ogawa, Hitoshi Nishimura, Noriko Satoh, Ken Ebihara, Megumi Aizawa‐Abe and Hideshi Kuzuya. Their work appears in journals such as Diabetes, Diabetologia, Cancers, Journal of Biological Chemistry and Endocrinology.

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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