Kevin Sung

408 total citations
10 papers, 293 citations indexed

About

Kevin Sung is a scholar working on Biophysics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Kevin Sung has authored 10 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 3 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in Kevin Sung's work include Advanced Fluorescence Microscopy Techniques (5 papers), Optical Coherence Tomography Applications (2 papers) and Digital Holography and Microscopy (2 papers). Kevin Sung is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Optical Coherence Tomography Applications (2 papers) and Digital Holography and Microscopy (2 papers). Kevin Sung collaborates with scholars based in United States and China. Kevin Sung's co-authors include Rajan P. Kulkarni, Tzung K. Hsiai, Yichen Ding, Reza Ardehali, Jianguo Ma, Juhyun Lee, Sara Ranjbarvaziri, Paniz Kamran, J Engel and M. Luisa Iruela‐Arispe and has published in prestigious journals such as Nature Communications, Scientific Reports and Science Advances.

In The Last Decade

Kevin Sung

10 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Sung United States 8 140 104 86 57 48 10 293
Kevin M. Barber United States 8 45 0.3× 62 0.6× 44 0.5× 32 0.6× 61 1.3× 13 287
Hanul Kang United States 6 141 1.0× 65 0.6× 55 0.6× 67 1.2× 22 0.5× 8 241
Andrew L. Lopez United States 8 106 0.8× 74 0.7× 162 1.9× 18 0.3× 42 0.9× 20 290
Jeffrey L. Clendenon United States 9 163 1.2× 102 1.0× 109 1.3× 12 0.2× 22 0.5× 13 396
Kayvan Samimi United States 8 248 1.8× 58 0.6× 101 1.2× 13 0.2× 11 0.2× 21 384
Thang L. Nguyen United States 6 51 0.4× 55 0.5× 118 1.4× 18 0.3× 22 0.5× 9 311
Michael Bindschadler United States 8 49 0.3× 40 0.4× 133 1.5× 27 0.5× 49 1.0× 24 378
Christopher McFaul Canada 9 92 0.7× 51 0.5× 147 1.7× 8 0.1× 84 1.8× 12 295
Jae Yon Won South Korea 12 89 0.6× 90 0.9× 154 1.8× 7 0.1× 19 0.4× 29 467
Yong Da Sie Taiwan 6 102 0.7× 75 0.7× 238 2.8× 24 0.4× 164 3.4× 9 382

Countries citing papers authored by Kevin Sung

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Sung. A scholar is included among the top collaborators of Kevin Sung 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 Kevin Sung. Kevin Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Linsley, Chase S., et al.. (2022). Functionalizing Fibrin Hydrogels with Thermally Responsive Oligonucleotide Tethers for On-Demand Delivery. Bioengineering. 9(1). 25–25. 6 indexed citations
2.
Sung, Kevin, Nisha R. Patel, Nureddin Ashammakhi, & Kim‐Lien Nguyen. (2021). 3-Dimensional Bioprinting of Cardiovascular Tissues. JACC Basic to Translational Science. 6(5). 467–482. 16 indexed citations
3.
Wolfe, Scott W., et al.. (2020). Postoperative Pain Is Correlated with Scaphoid Dorsal Translation following Scapholunate Interosseous Ligament Reconstruction. Journal of Wrist Surgery. 9(6). 487–492. 11 indexed citations
4.
Nguyen, Ngoc B., Paniz Kamran, Sara Ranjbarvaziri, et al.. (2018). Analysis of cardiomyocyte clonal expansion during mouse heart development and injury. Nature Communications. 9(1). 754–754. 83 indexed citations
5.
Zhang, Yibo, Kevin Sung, Hongda Wang, et al.. (2018). 3D on-chip microscopy of optically cleared tissue. 7. 35–35. 1 indexed citations
6.
Ding, Yichen, Juhyun Lee, Jianguo Ma, et al.. (2017). Light-sheet fluorescence imaging to localize cardiac lineage and protein distribution. Scientific Reports. 7(1). 42209–42209. 35 indexed citations
7.
Zhang, Yibo, Kevin Sung, Hongda Wang, et al.. (2017). 3D imaging of optically cleared tissue using a simplified CLARITY method and on-chip microscopy. Science Advances. 3(8). e1700553–e1700553. 30 indexed citations
8.
Lee, Juhyun, René R. Sevag Packard, Hao Xu, et al.. (2016). Cardiac Light-Sheet Fluorescent Microscopy for Multi-Scale and Rapid Imaging of Architecture and Function. Scientific Reports. 6(1). 22489–22489. 64 indexed citations
9.
Sung, Kevin, Yichen Ding, Jianguo Ma, et al.. (2016). Simplified three-dimensional tissue clearing and incorporation of colorimetric phenotyping. Scientific Reports. 6(1). 30736–30736. 37 indexed citations
10.
Sung, Kevin, et al.. (2014). A three-dimensional in vitro model to quantify inflammatory response to biomaterials. Acta Biomaterialia. 10(11). 4742–4749. 10 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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