Shin Itakura

753 citations
7 papers · 612 · h-index 7

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Diabetes and associated disorders
  • Surgery top 10%
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine

Papers in

    • Pancreatic function and diabetes 4
    • Xenotransplantation and immune response 1
    • Tissue Engineering and Regenerative Medicine 1
    • Mesenchymal stem cell research 3

Shin Itakura

7 papers receiving 600 citations

Peers

Shin Itakura
Comparison fields: 5 of 57
  • Genetics 329
  • Surgery 321
  • Transplantation 18
  • Sensory Systems 22
  • Hematology 46
Replace Cristina Moreno with:
Cristina Moreno Spain
Meaghan Stolk Germany
Ashleigh S. Boyd United Kingdom
Mandy Stubbendorff Germany
Mal Sook Yang South Korea
Runtao Gao China
Melissa A. Willman United States
Ramón Menta Spain
Michiko Ueda Japan
Gillian I. Bell Canada
Shin Itakura relative to Cristina Moreno Spain Cristina Moreno's profile →
Citations per field
00.5×4.4×
Cristina Moreno · 1×
Citations per year

Countries citing papers authored by Shin Itakura

Since Specialization
Citations

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

Fields of papers citing papers by Shin Itakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Shin Itakura, 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 Shin Itakura Line = papers co-authored together Shin Itakura links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2009263
2 2010214
3 200762
4 200529
5 200826
6 200312
7 20116

About Shin Itakura

Shin Itakura is a scholar working on Surgery, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 7 papers that have together received 612 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Mesenchymal stem cell research (3 papers), Xenotransplantation and immune response (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), Pluripotent Stem Cells Research (1 paper), Neurobiology and Insect Physiology Research (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Genetics (329 citations), Surgery (321 citations), Transplantation (18 citations), Sensory Systems (22 citations) and Hematology (46 citations). Shin Itakura has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Fouad Kandeel, Sadaki Asari, Yoko Mullen, Kevin Ferreri, Chih‐Pin Liu, Yoshikazu Kuroda, T. Ito, Jeffrey Rawson, Иван Тодоров and Jonathan Shintaku. Their work appears in journals such as Transplantation, American Journal of Transplantation, Experimental Hematology, Placenta and Pancreas.

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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