Eugene K.W. Sim

2.4k citations
61 papers · 1.6k indexed · h-index 25

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Mesenchymal stem cell research 10
    • Tissue Engineering and Regenerative Medicine 18
    • Coronary Interventions and Diagnostics 9

Eugene K.W. Sim

59 papers receiving 1.6k citations

Peers

Eugene K.W. Sim
Comparison fields: 5 of 98
  • Genetics 346
  • Biomaterials 287
  • Surgery 868
  • Cardiology and Cardiovascular Medicine 386
  • Pulmonary and Respiratory Medicine 310
Replace C. Schümichen with:
C. Schümichen Germany
Jakub Wiskirchen Germany
Benedikt Weber Switzerland
Jean‐François Stoltz France
Olivier Schussler France
Ganghong Tian Canada
Karl‐Henrik Grinnemo Sweden
John Terrovitis Greece
Haruhiko Kondoh Japan
Ruben Crespo‐Diaz United States
Eugene K.W. Sim relative to C. Schümichen Germany C. Schümichen's profile →
Citations per field
00.5×1.5×2.3×
C. Schümichen · 1×
Citations per year

Countries citing papers authored by Eugene K.W. Sim

Since Specialization
Citations

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

Fields of papers citing papers by Eugene K.W. Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene K.W. Sim. 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 Eugene K.W. Sim. The network helps show where Eugene K.W. Sim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20109
2 20087
3 200711
4 200621
5 200632
6 20063
7 200622
8 200517
9 2005104
10 200516
11 20058
12 20045
13 20041
14 200449
15 200414
16 200416
17 200311
18 200310
19 199619
20 19926

About Eugene K.W. Sim

Eugene K.W. Sim is a scholar working on Genetics, Surgery, Cardiology and Cardiovascular Medicine, Biomaterials and Molecular Biology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (18 papers), Mesenchymal stem cell research (10 papers), Muscle Physiology and Disorders (9 papers), Coronary Interventions and Diagnostics (9 papers), Angiogenesis and VEGF in Cancer (9 papers), Congenital Heart Disease Studies (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Genetics (346 citations), Biomaterials (287 citations), Surgery (868 citations), Cardiology and Cardiovascular Medicine (386 citations) and Pulmonary and Respiratory Medicine (310 citations). Eugene K.W. Sim has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Lei Ye, Husnain Kh Haider, Peter K. Law, Ruowen Ge, Shujia Jiang, Yong Zhang, Francisco J. Puga, Jacques A.M. van Son, Paul R. Julsrud and Donald J. Hagler. Their work appears in journals such as The Annals of Thoracic Surgery, European Journal of Heart Failure, International Journal of Cardiology, Mayo Clinic Proceedings and Experimental Biology and Medicine.

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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