Yasuharu Ueno

4.3k citations
45 papers · 2.9k indexed · 2 hit papers · h-index 21
  • Hepatology top 1%
    • Liver physiology and pathology 16
    • 3D Printing in Biomedical Research 6
  • Surgery top 5%
    • Pancreatic function and diabetes 11
    • Organ Transplantation Techniques and Outcomes 6
    • Pluripotent Stem Cells Research 8
    • Renal and related cancers 6
  • Oncology top 5%
    • Cancer Cells and Metastasis 5
    • Pancreatic and Hepatic Oncology Research 5

Yasuharu Ueno

45 papers receiving 2.9k citations

Hit Papers

Vascularized and Complex Organ Buds from Diverse Tissues ...360201320262017202150010001.5k

Peers

Yasuharu Ueno
Comparison fields: 5 of 126
  • Hepatology 860
  • Biomedical Engineering 1.1k
  • Surgery 1.1k
  • Molecular Biology 1.4k
  • Oncology 472
Replace Hiroyuki Koike with:
Hiroyuki Koike Japan
Masahiro Enomura Japan
Sharon C. Presnell United States
Haozhen Ren China
Eva Schmelzer United States
Takeshi Katsuda Japan
Tatsuya Kin Canada
Tengfei Zhou China
Xuetao Pei China
Yusuke Sakai Japan
Yasuharu Ueno relative to Hiroyuki Koike Japan Hiroyuki Koike's profile →
Citations per field
00.5×1.5×
Hiroyuki Koike · 1×
Citations per year

Countries citing papers authored by Yasuharu Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Yasuharu Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20248
3 202316
4 20235
5 20226
6 201935
7 2018146
8 201865
9 201839
10 201817
11
Vascularized and Complex Organ Buds from Diverse Tissues via Mesenchymal Cell-Driven Condensationbreakdown →
2015360
12 201423
13 20145
14 201411
15 201226
16 201230
17 20095
18 200621
19 20053
20 200332

About Yasuharu Ueno

Yasuharu Ueno is a scholar working on Hepatology, Surgery and Oncology, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver physiology and pathology (16 papers), Pancreatic function and diabetes (11 papers), Pluripotent Stem Cells Research (8 papers), Organ Transplantation Techniques and Outcomes (6 papers), 3D Printing in Biomedical Research (6 papers), Renal and related cancers (6 papers), Cancer Cells and Metastasis (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Hepatology (860 citations), Biomedical Engineering (1.1k citations) and Surgery (1.1k citations). Yasuharu Ueno has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hideki Taniguchi, Takanori Takebe, Keisuke Sekine, Yun‐Wen Zheng, Masahiro Enomura, Hiroyuki Koike, Ranran Zhang, Naoto Koike, Masaki Kimura and Yasuhisa Adachi.

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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