Sangsung Kim

840 total citations
12 papers, 629 citations indexed

About

Sangsung Kim is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Sangsung Kim has authored 12 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Biomaterials. Recurrent topics in Sangsung Kim's work include Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Sangsung Kim is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Sangsung Kim collaborates with scholars based in United States, South Korea and Japan. Sangsung Kim's co-authors include Young‐sup Yoon, Ji Woong Han, Kyu-Won Cho, Keith E. Szulwach, Peng Jin, Jaemin Byun, Xuekun Li, Bing Ren, Yujing Li and M. Katharine Rudd and has published in prestigious journals such as Circulation, ACS Nano and Biomaterials.

In The Last Decade

Sangsung Kim

12 papers receiving 625 citations

Peers

Sangsung Kim
Ienglam Lei United States
Marina V. Pryzhkova United States
Nicola Bates United Kingdom
Sara Benedetti United Kingdom
Piera Smeriglio United States
Kenneth Estrera United States
Abhirath Parikh United States
Ienglam Lei United States
Sangsung Kim
Citations per year, relative to Sangsung Kim Sangsung Kim (= 1×) peers Ienglam Lei

Countries citing papers authored by Sangsung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangsung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangsung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangsung Kim. A scholar is included among the top collaborators of Sangsung Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sangsung Kim. Sangsung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Han, Ji Woong, Shin‐Jeong Lee, Kyung‐Hee Kim, et al.. (2025). Novel Directly Reprogrammed Smooth Muscle Cells Promote Vascular Regeneration as Microvascular Mural Cells. Circulation. 151(15). 1076–1094. 1 indexed citations
2.
Cho, Kyu-Won, Sangsung Kim, Jin Eyun Kim, et al.. (2023). Polycomb Group Protein CBX7 Represses Cardiomyocyte Proliferation Through Modulation of the TARDBP/RBM38 Axis. Circulation. 147(24). 1823–1842. 13 indexed citations
3.
Lee, Shin‐Jeong, Jee Eun Oh, Sangsung Kim, et al.. (2023). Generation of Red Blood Cells from Human Pluripotent Stem Cells—An Update. Cells. 12(11). 1554–1554. 5 indexed citations
4.
Sohn, Young-Doug, Sangsung Kim, Augustine Rajakumar, et al.. (2021). Reduced angiovasculogenic and increased inflammatory profiles of cord blood cells in severe but not mild preeclampsia. Scientific Reports. 11(1). 3630–3630. 4 indexed citations
5.
Lee, Shin‐Jeong, Young-Doug Sohn, Adinarayana Andukuri, et al.. (2017). Enhanced Therapeutic and Long-Term Dynamic Vascularization Effects of Human Pluripotent Stem Cell–Derived Endothelial Cells Encapsulated in a Nanomatrix Gel. Circulation. 136(20). 1939–1954. 53 indexed citations
6.
Lee, Sangho, Changwon Park, Ji Woong Han, et al.. (2016). Direct Reprogramming of Human Dermal Fibroblasts Into Endothelial Cells Using ER71/ETV2. Circulation Research. 120(5). 848–861. 104 indexed citations
7.
Ban, Kiwon, B.M. Wile, Kyu-Won Cho, et al.. (2015). Non-genetic Purification of Ventricular Cardiomyocytes from Differentiating Embryonic Stem Cells through Molecular Beacons Targeting IRX-4. Stem Cell Reports. 5(6). 1239–1249. 15 indexed citations
9.
Ban, Kiwon, Hun‐Jun Park, Sangsung Kim, et al.. (2014). Cell Therapy with Embryonic Stem Cell-Derived Cardiomyocytes Encapsulated in Injectable Nanomatrix Gel Enhances Cell Engraftment and Promotes Cardiac Repair. ACS Nano. 8(10). 10815–10825. 91 indexed citations
10.
Lee, Sangho, Changwon Park, Ji Woong Han, et al.. (2014). Abstract 18205: Direct Reprogramming of Human Dermal Fibroblasts into Endothelial Cells Using a Single Transcription Factor. 130. 4 indexed citations
11.
Ban, Kiwon, B.M. Wile, Sangsung Kim, et al.. (2013). Purification of Cardiomyocytes From Differentiating Pluripotent Stem Cells Using Molecular Beacons That Target Cardiomyocyte-Specific mRNA. Circulation. 128(17). 1897–1909. 45 indexed citations
12.
Szulwach, Keith E., Xuekun Li, Yujing Li, et al.. (2011). Integrating 5-Hydroxymethylcytosine into the Epigenomic Landscape of Human Embryonic Stem Cells. PLoS Genetics. 7(6). e1002154–e1002154. 227 indexed citations

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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