Woo‐Sup Sim

529 citations
21 papers · 366 · h-index 11

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 7
    • Tissue Engineering and Regenerative Medicine 7

Woo‐Sup Sim

16 papers receiving 365 citations

Peers

Woo‐Sup Sim
Comparison fields: 5 of 71
  • Biomaterials 53
  • Pharmacology 23
  • Cardiology and Cardiovascular Medicine 51
  • Cancer Research 32
  • Surgery 91
Replace Jingyuan Mao with:
Jingyuan Mao China
Meng Zhou China
Lei Mi China
Jeffrey Hyun-Kyu Choi United States
Brittany A. Potz United States
Juesheng Yang China
Daxing Liu China
Yihu Fang China
Woo‐Sup Sim relative to Jingyuan Mao China Jingyuan Mao's profile →
Citations per field
00.5×1.5×2×2.3×
Jingyuan Mao · 1×
Citations per year

Countries citing papers authored by Woo‐Sup Sim

Since Specialization
Citations

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

Fields of papers citing papers by Woo‐Sup Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Sup 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 Woo‐Sup Sim. The network helps show where Woo‐Sup Sim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 202460
3 202434
4 199134
5 202232
6 202229
7 202224
8 202321
9 202418
10 202213
11 202411
12 202110
13 20218
14 20238
15 20252
16 20251
17 20250
18 20230
19 20250
20 20260

About Woo‐Sup Sim

Woo‐Sup Sim is a scholar working on Biomaterials, Surgery, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Cardiac Fibrosis and Remodeling (3 papers), Mesenchymal stem cell research (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Pluripotent Stem Cells Research (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Biomaterials (53 citations), Pharmacology (23 citations), Cardiology and Cardiovascular Medicine (51 citations), Cancer Research (32 citations) and Surgery (91 citations). Woo‐Sup Sim has collaborated with scholars based in South Korea, Hong Kong and United States. Frequent co-authors include Park Hun-Jun, Kiwon Ban, Bong‐Woo Park, Jin-Ju Kim, Hyeok Kim, Jae-Hyun Park, I. Glenn Sipes, David L. Earnest, Наталья Петровна Мищенко and Ji‐Won Hwang. Their work appears in journals such as Experimental & Molecular Medicine, Advanced Science, Advanced Functional Materials, Science Advances and Antioxidants.

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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