Setsuko Shioda

594 citations
10 papers · 484 · h-index 8

Impact in

  • Surgery top 10%
    • Pancreatic function and diabetes
  • Genetics top 10%
    • Diabetes and associated disorders
    • Genetics and Neurodevelopmental Disorders
    • Mesenchymal stem cell research

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Pancreatic function and diabetes 3

Setsuko Shioda

10 papers receiving 475 citations

Peers

Setsuko Shioda
Comparison fields: 5 of 58
  • Surgery 285
  • Genetics 188
  • Endocrinology, Diabetes and Metabolism 93
  • Molecular Biology 274
  • Genetics 30
Replace Rohan K. Humphrey with:
Rohan K. Humphrey United States
Tarjinder Singh United States
David S.W. Boam United Kingdom
Janet Lau United States
Katharina Scheibner Germany
Giovanna Assis Rodrigues Brazil
M.-A. Huotari Finland
Fred Kruse United States
Joachim Huarte Switzerland
Aref G. Ebrahimi United States
Setsuko Shioda relative to Rohan K. Humphrey United States Rohan K. Humphrey's profile →
Citations per field
00.5×
Rohan K. Humphrey · 1×
Citations per year

Countries citing papers authored by Setsuko Shioda

Since Specialization
Citations

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

Fields of papers citing papers by Setsuko Shioda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Setsuko Shioda, 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 Setsuko Shioda Line = papers co-authored together Setsuko Shioda links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2002248
2 200467
3 200160
4 200747
5 200123
6 200316
7 201810
8 20177
9 19973
10 19963

About Setsuko Shioda

Setsuko Shioda is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Immunology, having authored 10 papers that have together received 484 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Animal Virus Infections Studies (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Surgery (285 citations), Genetics (188 citations), Endocrinology, Diabetes and Metabolism (93 citations), Molecular Biology (274 citations) and Genetics (30 citations). Setsuko Shioda has collaborated with scholars based in Japan and United States. Frequent co-authors include Kohsuke Kataoka, Makoto Nishizawa, Hiroshi Handa, Momoki Hirai, Song‐iee Han, Kazuaki Yasuda, Arihiro Kohara, Motonobu Satoh, Masao Takeuchi and Masanori Terai. Their work appears in journals such as Journal of Biological Chemistry, Gene, Journal of Molecular Endocrinology, Royal Society Open Science and In Vitro Cellular & Developmental Biology - Animal.

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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