T. Yau

884 citations
19 papers · 673 · h-index 11

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Biochemistry top 10%
    • Blood transfusion and management

Papers in

    • Cardiac Structural Anomalies and Repair 3
    • Tissue Engineering and Regenerative Medicine 2
    • Mesenchymal stem cell research 2

T. Yau

18 papers receiving 647 citations

Peers

T. Yau
Comparison fields: 5 of 57
  • Biomaterials 216
  • Biochemistry 56
  • Surgery 358
  • Genetics 86
  • Developmental Neuroscience 27
Replace Joan Ivanov with:
Joan Ivanov Canada
Molly K. Mohabeer Canada
Patroklos Pappas United States
Sawa Yoshiki Japan
Nikhil Mistry Canada
M Komeda Japan
Michaela Wilhelmi Germany
Ming Gong China
T. J. Galla Germany
R. C.-J. Chiu Canada
T. Yau relative to Joan Ivanov Canada Joan Ivanov's profile →
Citations per field
00.5×9.3×
Joan Ivanov · 1×
Citations per year

Countries citing papers authored by T. Yau

Since Specialization
Citations

This map shows the geographic impact of T. Yau'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 T. Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yau more than expected).

Fields of papers citing papers by T. Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1999257
2 200082
3 201259
4
Optimal delivery of blood cardioplegia.
199154
5
Alternative techniques of cardioplegia.
199253
6 200748
7
Cell therapy to repair broken hearts.
199827
8 201223
9 200620
10 201417
11 200913
12 20016
13 20244
14 20253
15 20022
16 20252
17 20242
18 20191
19 20210

About T. Yau

T. Yau is a scholar working on Surgery, Genetics, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Hematology, having authored 19 papers that have together received 673 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (3 papers), Mechanical Circulatory Support Devices (3 papers), Aortic Disease and Treatment Approaches (2 papers), Telemedicine and Telehealth Implementation (2 papers), Blood transfusion and management (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Biomaterials (216 citations), Biochemistry (56 citations), Surgery (358 citations), Genetics (86 citations) and Developmental Neuroscience (27 citations). T. Yau has collaborated with scholars based in Canada, Philippines and China. Frequent co-authors include Richard D. Weisel, Donald A.G. Mickle, Ren‐Ke Li, Ah Young Choi, Zenghui Jia, Susan Carson, Molly K. Mohabeer, Joan Ivanov, Shinji Tomita and Eung Ju Kim. Their work appears in journals such as Circulation, PLoS ONE, The Journal of Heart and Lung Transplantation, European Journal of Cardio-Thoracic Surgery and JMIR Rehabilitation and Assistive Technologies.

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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