Su Chul Jang

7.3k total citations · 4 hit papers
43 papers, 5.1k citations indexed

About

Su Chul Jang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Su Chul Jang has authored 43 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 18 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Su Chul Jang's work include Extracellular vesicles in disease (39 papers), MicroRNA in disease regulation (17 papers) and RNA Interference and Gene Delivery (13 papers). Su Chul Jang is often cited by papers focused on Extracellular vesicles in disease (39 papers), MicroRNA in disease regulation (17 papers) and RNA Interference and Gene Delivery (13 papers). Su Chul Jang collaborates with scholars based in Sweden, South Korea and United States. Su Chul Jang's co-authors include Jan Lötvall, Yong Song Gho, Cecilia Lässer, Jaesung Park, Dongsic Choi, Jonas A. Nilsson, Oh Youn Kim, Yoon‐Keun Kim, Aleksander Cvjetkovic and Rossella Crescitelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

Su Chul Jang

42 papers receiving 5.0k citations

Hit Papers

Bioinspired Exosome-Mimetic Nanovesicles for Targeted Del... 2013 2026 2017 2021 2013 2018 2013 2022 250 500 750

Peers

Su Chul Jang
Dongsic Choi South Korea
Su Chul Jang
Citations per year, relative to Su Chul Jang Su Chul Jang (= 1×) peers Dongsic Choi

Countries citing papers authored by Su Chul Jang

Since Specialization
Citations

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

Fields of papers citing papers by Su Chul Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Chul Jang. 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 Su Chul Jang. The network helps show where Su Chul Jang may publish in the future.

Co-authorship network of co-authors of Su Chul Jang

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

All Works

20 of 20 papers shown
1.
Bandeira, Elga, Su Chul Jang, Cecilia Lässer, et al.. (2023). Effects of mesenchymal stem cell-derived nanovesicles in experimental allergic airway inflammation. Respiratory Research. 24(1). 3–3. 11 indexed citations
2.
Patel, Shil, Karl Schmidt, Mohammed Farhoud, et al.. (2022). In vivo tracking of [89Zr]Zr-labeled engineered extracellular vesicles by PET reveals organ-specific biodistribution based upon the route of administration. Nuclear Medicine and Biology. 112-113. 20–30. 39 indexed citations
3.
Lewis, Nuruddeen D., Chang Ling Sia, Katherine Kirwin, et al.. (2020). Exosome Surface Display of IL12 Results in Tumor-Retained Pharmacology with Superior Potency and Limited Systemic Exposure Compared with Recombinant IL12. Molecular Cancer Therapeutics. 20(3). 523–534. 79 indexed citations
4.
Shelke, Ganesh Vilas, Yanan Yin, Su Chul Jang, et al.. (2019). Endosomal signalling via exosome surface TGFβ‐1. Journal of Extracellular Vesicles. 8(1). 1650458–1650458. 133 indexed citations
5.
Jang, Su Chul, Rossella Crescitelli, Aleksander Cvjetkovic, et al.. (2019). Mitochondrial protein enriched extracellular vesicles discovered in human melanoma tissues can be detected in patient plasma. Journal of Extracellular Vesicles. 8(1). 1635420–1635420. 143 indexed citations
6.
Park, Kyong‐Su, Kristina Svennerholm, Ganesh Vilas Shelke, et al.. (2019). Mesenchymal stromal cell-derived nanovesicles ameliorate bacterial outer membrane vesicle-induced sepsis via IL-10. Stem Cell Research & Therapy. 10(1). 231–231. 92 indexed citations
7.
Lässer, Cecilia, Su Chul Jang, & Jan Lötvall. (2018). Subpopulations of extracellular vesicles and their therapeutic potential. Molecular Aspects of Medicine. 60. 1–14. 152 indexed citations
8.
Karimi, Nasibeh, Aleksander Cvjetkovic, Su Chul Jang, et al.. (2018). Detailed analysis of the plasma extracellular vesicle proteome after separation from lipoproteins. Cellular and Molecular Life Sciences. 75(15). 2873–2886. 421 indexed citations breakdown →
9.
Svennerholm, Kristina, Kyong‐Su Park, Johannes Wikström, et al.. (2017). Escherichia coli outer membrane vesicles can contribute to sepsis induced cardiac dysfunction. Scientific Reports. 7(1). 17434–17434. 59 indexed citations
10.
Lázaro‐Ibáñez, Elisa, Taral R. Lunavat, Su Chul Jang, et al.. (2017). Distinct prostate cancer-related mRNA cargo in extracellular vesicle subsets from prostate cell lines. BMC Cancer. 17(1). 92–92. 53 indexed citations
11.
Cvjetkovic, Aleksander, Su Chul Jang, Barbora Konečná, et al.. (2016). Detailed Analysis of Protein Topology of Extracellular Vesicles–Evidence of Unconventional Membrane Protein Orientation. Scientific Reports. 6(1). 36338–36338. 136 indexed citations
12.
Lunavat, Taral R., Su Chul Jang, Lisa M. Nilsson, et al.. (2016). RNAi delivery by exosome-mimetic nanovesicles – Implications for targeting c-Myc in cancer. Biomaterials. 102. 231–238. 186 indexed citations
13.
Choi, Youngwoo, Yonghoon Kwon, Dae‐Kyum Kim, et al.. (2015). Gut microbe-derived extracellular vesicles induce insulin resistance, thereby impairing glucose metabolism in skeletal muscle. Scientific Reports. 5(1). 15878–15878. 174 indexed citations
14.
Hwang, Do Won, Hongyoon Choi, Su Chul Jang, et al.. (2015). Noninvasive imaging of radiolabeled exosome-mimetic nanovesicle using 99mTc-HMPAO. Scientific Reports. 5(1). 15636–15636. 188 indexed citations
15.
Lunavat, Taral R., Lesley Cheng, Dae‐Kyum Kim, et al.. (2015). Small RNA deep sequencing discriminates subsets of extracellular vesicles released by melanoma cells – Evidence of unique microRNA cargos. RNA Biology. 12(8). 810–823. 150 indexed citations
16.
Park, Kyong‐Su, Jaewook Lee, Su Chul Jang, et al.. (2013). Pulmonary Inflammation Induced by Bacteria-Free Outer Membrane Vesicles from Pseudomonas aeruginosa. American Journal of Respiratory Cell and Molecular Biology. 49(4). 637–645. 93 indexed citations
17.
Lee, Eunyoung, Kyong‐Su Park, Yae Jin Yoon, et al.. (2012). Therapeutic Effects of Autologous Tumor-Derived Nanovesicles on Melanoma Growth and Metastasis. PLoS ONE. 7(3). e33330–e33330. 71 indexed citations
18.
Kim, Junho, et al.. (2012). Microfluidic filtration system to isolate extracellular vesicles from blood. Lab on a Chip. 12(24). 5202–5202. 333 indexed citations
19.
Choi, Dongsic, Jung Ok Park, Su Chul Jang, et al.. (2011). Proteomic analysis of microvesicles derived from human colorectal cancer ascites. PROTEOMICS. 11(13). 2745–2751. 140 indexed citations
20.
Choi, Dongsic, Jae‐Seong Yang, Eun-Jeong Choi, et al.. (2011). The Protein Interaction Network of Extracellular Vesicles Derived from Human Colorectal Cancer Cells. Journal of Proteome Research. 11(2). 1144–1151. 65 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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