Derek C. Sung

527 total citations
9 papers, 208 citations indexed

About

Derek C. Sung is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Derek C. Sung has authored 9 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Neurology. Recurrent topics in Derek C. Sung's work include Signaling Pathways in Disease (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Lymphatic System and Diseases (2 papers). Derek C. Sung is often cited by papers focused on Signaling Pathways in Disease (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Lymphatic System and Diseases (2 papers). Derek C. Sung collaborates with scholars based in United States, Slovakia and Singapore. Derek C. Sung's co-authors include Jingjing Zhou, Jonathan T. Butcher, Caitlin J. Bowen, Xiuye Ma, Zhenze Zhao, Liqin Du, Alexander Pertsemlidis, Adam Kosti, Yidong Chen and Tzu-Hung Hsiao and has published in prestigious journals such as Blood, Journal of Cell Science and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Derek C. Sung

9 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek C. Sung United States	8	119	60	56	34	29	9	208
Mikoto Yoshida Japan	8	190 1.6×	59 1.0×	34 0.6×	8 0.2×	28 1.0×	14	363
Julia Sun United States	7	193 1.6×	21 0.3×	74 1.3×	28 0.8×	20 0.7×	8	331
Jakub Kaczynski United Kingdom	6	148 1.2×	42 0.7×	119 2.1×	19 0.6×	32 1.1×	10	290
D. Schulz Germany	4	136 1.1×	62 1.0×	48 0.9×	15 0.4×	18 0.6×	5	335
Woohyok Chang South Korea	13	145 1.2×	24 0.4×	29 0.5×	49 1.4×	23 0.8×	25	600
Anat Ohali Israel	10	157 1.3×	30 0.5×	49 0.9×	44 1.3×	26 0.9×	11	304
Alyssa A. Tran United States	7	99 0.8×	20 0.3×	19 0.3×	77 2.3×	28 1.0×	9	224
Isidoro Cobo United States	9	153 1.3×	17 0.3×	29 0.5×	8 0.2×	31 1.1×	16	296
Cécile Réyès France	8	159 1.3×	33 0.6×	17 0.3×	50 1.5×	17 0.6×	12	260
S. Rumpler Austria	7	103 0.9×	31 0.5×	74 1.3×	104 3.1×	14 0.5×	11	252

Countries citing papers authored by Derek C. Sung

Since Specialization

Citations

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

Fields of papers citing papers by Derek C. Sung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek C. Sung

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Jannaway, Melanie, Kunyu Li, Derek C. Sung, et al.. (2023). VEGFR3 is required for button junction formation in lymphatic vessels. Cell Reports. 42(7). 112777–112777. 17 indexed citations

2.

Yang, Yi‐Qing, Melanie Mumau, Joanna Tober, et al.. (2022). Endothelial MEKK3-KLF2/4 signaling integrates inflammatory and hemodynamic signals during definitive hematopoiesis. Blood. 139(19). 2942–2957. 11 indexed citations

3.

Sung, Derek C., Mei Chen, Martin H. Dominguez, et al.. (2022). Sinusoidal and lymphatic vessel growth is controlled by reciprocal VEGF-C–CDH5 inhibition. Nature Cardiovascular Research. 1(11). 1006–1021. 7 indexed citations

4.

Sung, Derek C., et al.. (2020). Mutations in non-muscle myosin 2A disrupt the actomyosin cytoskeleton in Sertoli cells and cause male infertility. Developmental Biology. 470. 49–61. 4 indexed citations

5.

Ma, Xuefei, et al.. (2017). Nonmuscle myosin IIB regulates epicardial integrity and epicardium-derived mesenchymal cell maturation. Journal of Cell Science. 130(16). 2696–2706. 8 indexed citations

6.

Sung, Derek C., Caitlin J. Bowen, Jingjing Zhou, et al.. (2016). Cadherin-11 Overexpression Induces Extracellular Matrix Remodeling and Calcification in Mature Aortic Valves. Arteriosclerosis Thrombosis and Vascular Biology. 36(8). 1627–1637. 45 indexed citations

7.

Zhao, Zhenze, Xiuye Ma, Spencer D. Shelton, et al.. (2016). A combined gene expression and functional study reveals the crosstalk between N-Myc and differentiation-inducing microRNAs in neuroblastoma cells. Oncotarget. 7(48). 79372–79387. 22 indexed citations

8.

Zhao, Zhenze, Xiuye Ma, Derek C. Sung, et al.. (2015). microRNA-449a functions as a tumor suppressor in neuroblastoma through inducing cell differentiation and cell cycle arrest. RNA Biology. 12(5). 538–554. 55 indexed citations

9.

Bowen, Caitlin J., Jingjing Zhou, Derek C. Sung, & Jonathan T. Butcher. (2015). Cadherin-11 coordinates cellular migration and extracellular matrix remodeling during aortic valve maturation. Developmental Biology. 407(1). 145–157. 39 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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