Yoji Tabata

1.6k citations
12 papers · 1.2k · 1 hit paper · h-index 8

Impact in

    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions

Papers in

Yoji Tabata

10 papers receiving 1.2k citations

Hit Papers

Homeostatic mini-intestines through scaffold-guided organoid morphogenesis 2020 · 534 citations
5340+2+4Years since publication100200300400500

Peers

Yoji Tabata
Comparison fields: 5 of 99
  • Biomedical Engineering 677
  • Cell Biology 195
  • Oncology 268
  • Molecular Biology 544
  • Molecular Medicine 33
Replace Samy Gobaa with:
Samy Gobaa Switzerland
Moritz Hofer Switzerland
Giuliana Rossi Italy
Nathalie Brandenberg Switzerland
Markus Rimann Switzerland
Karen Havenstrite United States
Aereas Aung United States
Jonathan J. Campbell United Kingdom
Chih‐Wei Hsu United States
Rami El Assal United States
Yoji Tabata relative to Samy Gobaa Switzerland Samy Gobaa's profile →
Citations per field
00.5×1.5×2.2×
Samy Gobaa · 1×
Citations per year

Countries citing papers authored by Yoji Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Yoji Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Homeostatic mini-intestines through scaffold-guided organoid morphogenesis
Hit paper breakdown →
2020534
2 2016226
3 2019123
4 2017115
5 201988
6 201734
7 201325
8 201419
9 20173
10 19961
11 19950
12 20240

About Yoji Tabata

Yoji Tabata is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Oncology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cancer Cells and Metastasis (2 papers), Developmental Biology and Gene Regulation (2 papers), Advanced Radiotherapy Techniques (1 paper), Neuroscience and Neural Engineering (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Biomedical Engineering (677 citations), Cell Biology (195 citations), Oncology (268 citations), Molecular Biology (544 citations) and Molecular Medicine (33 citations). Yoji Tabata has collaborated with scholars based in Switzerland, Japan and United Kingdom. Frequent co-authors include Matthias P. Lütolf, Nathalie Brandenberg, Mikhail Nikolaev, Sara Geraldo, Olga Mitrofanova, Devanjali Dutta, Irina Kolotuev, Hans Clevers, Nikolce Gjorevski and Nicolas Broguière. Their work appears in journals such as Nature Methods, Scientific Reports, Science, Biomaterials Science and Nature.

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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