Sung‐Suk Chae

2.8k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Sung‐Suk Chae is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Sung‐Suk Chae has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cell Biology. Recurrent topics in Sung‐Suk Chae's work include Angiogenesis and VEGF in Cancer (8 papers), Sphingolipid Metabolism and Signaling (6 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Sung‐Suk Chae is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Sphingolipid Metabolism and Signaling (6 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Sung‐Suk Chae collaborates with scholars based in United States, United Kingdom and Italy. Sung‐Suk Chae's co-authors include Timothy Hla, Rakesh K. Jain, Jihye Paik, Dai Fukumura, Lance L. Munn, Henry Furneaux, Sergey V. Kozin, Lei Xu, Michael F. Booth and Emmanuelle di Tomaso and has published in prestigious journals such as Journal of Clinical Investigation, Genes & Development and PLoS ONE.

In The Last Decade

Sung‐Suk Chae

17 papers receiving 2.1k citations

Hit Papers

Kinetics of vascular normalization by VEGFR2 blockade gov... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Suk Chae United States 11 1.5k 711 436 348 321 18 2.2k
Diana Klein Germany 32 1.3k 0.8× 406 0.6× 407 0.9× 256 0.7× 332 1.0× 74 2.3k
Mónica Garcı́a-Barros United States 15 1.0k 0.7× 470 0.7× 419 1.0× 171 0.5× 441 1.4× 21 2.0k
Christine Toulas France 29 1.3k 0.8× 669 0.9× 561 1.3× 232 0.7× 163 0.5× 59 2.0k
Michalina Janiszewska United States 16 1.9k 1.3× 1.2k 1.7× 906 2.1× 249 0.7× 416 1.3× 25 2.9k
Marta Pàez‐Ribes United Kingdom 15 1.9k 1.3× 1.1k 1.5× 1000 2.3× 155 0.4× 452 1.4× 18 3.2k
Linda Stuhr Norway 15 750 0.5× 735 1.0× 665 1.5× 169 0.5× 226 0.7× 41 1.8k
Dan Hicklin United States 10 1.3k 0.9× 423 0.6× 473 1.1× 295 0.8× 204 0.6× 21 1.9k
Tim Demuth United States 24 2.0k 1.3× 624 0.9× 1.2k 2.7× 542 1.6× 240 0.7× 43 3.2k
Pamela Blaikie United States 14 2.2k 1.5× 771 1.1× 918 2.1× 476 1.4× 165 0.5× 15 3.0k
Yvonne Kienast Germany 14 940 0.6× 480 0.7× 981 2.3× 153 0.4× 535 1.7× 22 2.2k

Countries citing papers authored by Sung‐Suk Chae

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Suk Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Suk Chae

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

All Works

18 of 18 papers shown
2.
Wang, Hui, Christopher E. Barbieri, Jintang He, et al.. (2017). Quantification of mutant SPOP proteins in prostate cancer using mass spectrometry-based targeted proteomics. Journal of Translational Medicine. 15(1). 175–175. 5 indexed citations
3.
Boysen, Gunther, Christopher E. Barbieri, Davide Prandi, et al.. (2015). SPOP mutation leads to genomic instability in prostate cancer. eLife. 4. 132 indexed citations
4.
Barbieri, Christopher E., Gunther Boysen, Davide Prandi, et al.. (2015). Abstract NG01: SPOP mutation is associated with genomic instability in prostate cancer. Cancer Research. 75(15_Supplement). NG01–NG01. 1 indexed citations
5.
Boysen, Gunther, Christopher E. Barbieri, Davide Prandi, et al.. (2015). Abstract 1108: SPOP mutation leads to genomic instability in prostate cancer. Cancer Research. 75(15_Supplement). 1108–1108. 1 indexed citations
6.
Dawson, Michelle, Sung‐Suk Chae, Rakesh K. Jain, & Dan G. Duda. (2011). Direct evidence for lineage-dependent effects of bone marrow stromal cells on tumor progression.. PubMed. 1(2). 144–54. 31 indexed citations
7.
Chae, Sung‐Suk, Walid S. Kamoun, Christian T. Farrar, et al.. (2010). Angiopoietin-2 Interferes with Anti-VEGFR2–Induced Vessel Normalization and Survival Benefit in Mice Bearing Gliomas. Clinical Cancer Research. 16(14). 3618–3627. 115 indexed citations
8.
Kamoun, Walid S., Sung‐Suk Chae, Delphine A. Lacorre, et al.. (2010). Simultaneous measurement of RBC velocity, flux, hematocrit and shear rate in vascular networks. Nature Methods. 7(8). 655–660. 174 indexed citations
9.
Kamoun, Walid S., Sung‐Suk Chae, Delphine A. Lacorre, et al.. (2010). Simultaneous measurement of RBC velocity, flux, hematocrit and shear rate in vascular networks in vivo. The FASEB Journal. 24(S1). 2 indexed citations
10.
Dawson, Michelle, Dan G. Duda, Sung‐Suk Chae, Dai Fukumura, & Rakesh K. Jain. (2009). VEGFR1 Activity Modulates Myeloid Cell Infiltration in Growing Lung Metastases but Is Not Required for Spontaneous Metastasis Formation. PLoS ONE. 4(9). e6525–e6525. 38 indexed citations
11.
Chae, Sung‐Suk & Timothy Hla. (2005). Inhibition of Gene Expression In Vivo Using Multiplex siRNA. Humana Press eBooks. 309. 197–204. 2 indexed citations
12.
Chae, Sung‐Suk, Jihye Paik, Henry Furneaux, & Timothy Hla. (2004). Requirement for sphingosine 1–phosphate receptor-1 in tumor angiogenesis demonstrated by in vivo RNA interference. Journal of Clinical Investigation. 114(8). 1082–1089. 171 indexed citations
13.
Winkler, Frank, Sergey V. Kozin, Ricky T. Tong, et al.. (2004). Kinetics of vascular normalization by VEGFR2 blockade governs brain tumor response to radiation. Cancer Cell. 6(6). 553–563. 976 indexed citations breakdown →
14.
Chae, Sung‐Suk, Jihye Paik, María L. Allende, Richard L. Proia, & Timothy Hla. (2004). Regulation of limb development by the sphingosine 1-phosphate receptor S1p/EDG-1 occurs via the hypoxia/VEGF axis. Developmental Biology. 268(2). 441–447. 57 indexed citations
15.
Chae, Sung‐Suk, Richard L. Proia, & Timothy Hla. (2004). Constitutive expression of the S1P1 receptor in adult tissues. Prostaglandins & Other Lipid Mediators. 73(1-2). 141–150. 85 indexed citations
16.
Paik, Jihye, Athanasia Skoura, Sung‐Suk Chae, et al.. (2004). Sphingosine 1-phosphate receptor regulation of N-cadherin mediates vascular stabilization. Genes & Development. 18(19). 2392–2403. 221 indexed citations
17.
Chae, Sung‐Suk. (2004). Constitutive expression of the S1P1 receptor in adult tissues. Prostaglandins & Other Lipid Mediators. 73(1-2). 141–150. 3 indexed citations
18.
Chae, Sung‐Suk, Jihye Paik, Henry Furneaux, & Timothy Hla. (2004). Requirement for sphingosine 1–phosphate receptor-1 in tumor angiogenesis demonstrated by in vivo RNA interference. Journal of Clinical Investigation. 114(8). 1082–1089. 161 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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