Ming‐Sing Si

2.4k citations
77 papers · 1.1k indexed · h-index 17

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Surgery top 5%
    • Cardiac Structural Anomalies and Repair
    • Tissue Engineering and Regenerative Medicine
    • Transplantation: Methods and Outcomes

Papers in

    • Cardiac Structural Anomalies and Repair 20
    • Tissue Engineering and Regenerative Medicine 14
    • Transplantation: Methods and Outcomes 11

Ming‐Sing Si

73 papers receiving 1.1k citations

Peers

Ming‐Sing Si
Comparison fields: 5 of 97
  • Transplantation 91
  • Surgery 567
  • Hepatology 94
  • Biomaterials 118
  • Cardiology and Cardiovascular Medicine 189
Replace Bruno M. Meiser with:
Bruno M. Meiser Germany
Glenn A. Halff United States
Takahito Moriyama Japan
Alberto A. Diaz‐Arias United States
Noriyuki Ito Japan
Saiho Ko Japan
Takayuki Anazawa Japan
Benjamin Struecker Germany
Douglas Quan Canada
Ming‐Sing Si relative to Bruno M. Meiser Germany Bruno M. Meiser's profile →
Citations per field
00.5×9.4×
Bruno M. Meiser · 1×
Citations per year

Countries citing papers authored by Ming‐Sing Si

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Sing Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Sing Si. 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 Ming‐Sing Si. The network helps show where Ming‐Sing Si may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20246
4 20242
5 20233
6 20234
7 20234
8 20237
9 20235
10 20227
11 202115
12 20211
13 20214
14 202018
15 201812
16 201612
17 20153
18 201362
19 201014
20 20041

About Ming‐Sing Si

Ming‐Sing Si is a scholar working on Transplantation, Surgery, Biomaterials, Genetics and Epidemiology, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (24 papers), Cardiac Structural Anomalies and Repair (20 papers), Tissue Engineering and Regenerative Medicine (14 papers), Transplantation: Methods and Outcomes (11 papers), Mechanical Circulatory Support Devices (11 papers), Aortic Disease and Treatment Approaches (10 papers), Congenital heart defects research (9 papers) and Cardiac Valve Diseases and Treatments (9 papers). The work is most often cited by research in Transplantation (91 citations), Surgery (567 citations), Hepatology (94 citations), Biomaterials (118 citations) and Cardiology and Cardiovascular Medicine (189 citations). Ming‐Sing Si has collaborated with scholars based in United States, China and France. Frequent co-authors include Richard G. Ohye, David K. Imagawa, Dominic Borie, Bruce A. Reitz, Paul S. Changelian, Russell G. Witt, Gary W. Raff, Mona G. Flores, Ronald W. Busuttil and Shuyun Wang. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Translational Pediatrics, Pediatric Transplantation and Journal of the American College of Cardiology.

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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