Takanori Takebe

9.7k citations
118 papers · 5.7k indexed · 4 hit papers · h-index 30
  • Hepatology top 0.5%
    • Liver physiology and pathology 31
    • 3D Printing in Biomedical Research 29
  • Surgery top 1%
    • Pancreatic function and diabetes 22
    • Tissue Engineering and Regenerative Medicine 12
    • Pluripotent Stem Cells Research 39
    • Renal and related cancers 12
  • Oncology top 5%
    • Cancer Cells and Metastasis 9
    • Osteoarthritis Treatment and Mechanisms 7

Takanori Takebe

107 papers receiving 5.7k citations

Hit Papers

High-Fidelity Drug-Induced Liver Injury...250201320262017202150010001.5k

Peers

Takanori Takebe
Comparison fields: 5 of 140
  • Hepatology 1.4k
  • Biomedical Engineering 2.3k
  • Surgery 1.9k
  • Molecular Biology 2.8k
  • Oncology 937
Replace Yun‐Wen Zheng with:
Yun‐Wen Zheng Japan
Meritxell Huch United Kingdom
Takashi Murakami Japan
Sylvia F. Boj Netherlands
Stieneke van den Brink Netherlands
Junji Shibahara Japan
Bi‐Sen Ding United States
Craig Dorrell United States
Sina Y. Rabbany United States
Christopher N. Mayhew United States
Takanori Takebe relative to Yun‐Wen Zheng Japan Yun‐Wen Zheng's profile →
Citations per field
00.5×4.5×
Yun‐Wen Zheng · 1×
Citations per year

Countries citing papers authored by Takanori Takebe

Since Specialization
Citations

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

Fields of papers citing papers by Takanori Takebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20245
6 202412
7 20244
8 20242
9 202320
10 202217
11 202218
12 202142
13 2020111
14 2019279
15 2018146
16 201865
17 2017204
18
Vascularized and Complex Organ Buds from Diverse Tissues via Mesenchymal Cell-Driven Condensationbreakdown →
2015360
19 201424
20 201226

About Takanori Takebe

Takanori Takebe is a scholar working on Hepatology, Surgery and Molecular Biology, having authored 118 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (39 papers), Liver physiology and pathology (31 papers), 3D Printing in Biomedical Research (29 papers), Pancreatic function and diabetes (22 papers), Tissue Engineering and Regenerative Medicine (12 papers), Renal and related cancers (12 papers), Cancer Cells and Metastasis (9 papers) and Osteoarthritis Treatment and Mechanisms (7 papers). The work is most often cited by research in Hepatology (1.4k citations), Biomedical Engineering (2.3k citations) and Surgery (1.9k citations). Takanori Takebe has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hideki Taniguchi, Keisuke Sekine, Hiroyuki Koike, Ranran Zhang, Yasuharu Ueno, Masahiro Enomura, James M. Wells, Yun‐Wen Zheng, Naoto Koike and Masaki Kimura.

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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