Satoshi Shibata

774 citations
58 papers · 594 · h-index 13

Impact in

  • Surgery top 10%
    • Pancreatic function and diabetes
    • Xenotransplantation and immune response
    • Organ Transplantation Techniques and Outcomes

Papers in

    • Organ Transplantation Techniques and Outcomes 13
    • Pancreatic function and diabetes 11
    • Xenotransplantation and immune response 6
    • Pancreatitis Pathology and Treatment 3
    • Pleural and Pulmonary Diseases 3

Satoshi Shibata

52 papers receiving 574 citations

Peers

Satoshi Shibata
Comparison fields: 5 of 78
  • Surgery 385
  • Transplantation 23
  • Hepatology 45
  • Endocrinology, Diabetes and Metabolism 87
  • Genetics 128
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Countries citing papers authored by Satoshi Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004120
2 200064
3 200953
4 200338
5 199928
6 199427
7 201825
8 200322
9 200121
10 200819
11 200216
12 199913
13 199813
14 200412
15 200012
16 200010
17 20018
18 20158
19 20057
20 19857

About Satoshi Shibata

Satoshi Shibata is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Genetics, having authored 58 papers that have together received 594 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (13 papers), Pancreatic function and diabetes (11 papers), Xenotransplantation and immune response (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Sports injuries and prevention (4 papers), Pleural and Pulmonary Diseases (3 papers), Pancreatitis Pathology and Treatment (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Surgery (385 citations), Transplantation (23 citations), Hepatology (45 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Genetics (128 citations). Satoshi Shibata has collaborated with scholars based in Japan and United States. Frequent co-authors include David E.R. Sutherland, Nicole Kirchhof, Bernhard J. Hering, Junichiro Sageshima, Tsutomu Sato, Christopher T. Salerno, Sue M. Clemmings, Martin Wijkstrom, Yves Heremans and Uri Galili. Their work appears in journals such as Transplantation, Surgery Today, Acta Obstetricia Et Gynecologica Scandinavica, Transplantation Proceedings and Scientific Reports.

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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