Yang Yun

2.0k total citations
43 papers, 1.6k citations indexed

About

Yang Yun is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, Yang Yun has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Biomaterials and 6 papers in Genetics. Recurrent topics in Yang Yun's work include RNA Interference and Gene Delivery (8 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Virus-based gene therapy research (4 papers). Yang Yun is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Virus-based gene therapy research (4 papers). Yang Yun collaborates with scholars based in United States, China and South Korea. Yang Yun's co-authors include Andrew J. Ditto, Douglas J. Goetz, Weiliam Chen, Wiley J. Youngs, Parth N. Shah, Matthew J. Panzner, Paige Yellen, K.M. Hindi, Kush N. Shah and Steven M. Slack and has published in prestigious journals such as Nature Communications, Biomaterials and Biophysical Journal.

In The Last Decade

Yang Yun

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Yun United States 20 487 311 306 264 206 43 1.6k
Anisha D’Souza United States 17 869 1.8× 580 1.9× 481 1.6× 172 0.7× 195 0.9× 30 2.1k
Gang Yang China 25 579 1.2× 246 0.8× 485 1.6× 111 0.4× 315 1.5× 103 1.8k
Haohuan Li China 27 834 1.7× 295 0.9× 343 1.1× 122 0.5× 175 0.8× 140 2.1k
Peng‐Hui Wang China 32 843 1.7× 737 2.4× 470 1.5× 317 1.2× 132 0.6× 103 3.2k
Emanuela Fabiola Craparo Italy 31 768 1.6× 686 2.2× 417 1.4× 175 0.7× 137 0.7× 81 2.1k
Su‐Geun Yang South Korea 25 523 1.1× 501 1.6× 943 3.1× 113 0.4× 450 2.2× 75 2.1k
Mengrui Liu China 24 817 1.7× 624 2.0× 749 2.4× 97 0.4× 258 1.3× 42 2.4k
Yonghyun Lee South Korea 23 1.0k 2.1× 412 1.3× 742 2.4× 69 0.3× 368 1.8× 77 2.4k
Chong-Su Cho South Korea 20 460 0.9× 1.1k 3.5× 847 2.8× 265 1.0× 213 1.0× 32 2.4k
Yu Wei China 22 549 1.1× 787 2.5× 458 1.5× 191 0.7× 106 0.5× 61 1.9k

Countries citing papers authored by Yang Yun

Since Specialization
Citations

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

Fields of papers citing papers by Yang Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Yun. A scholar is included among the top collaborators of Yang Yun 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 Yang Yun. Yang Yun 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.
Giau, Vo Van, Kummara Madhusudana Rao, Ildoo Chung, et al.. (2024). Derivatization of Hyaluronan to Target Neuroblastoma and Neuroglioma Expressing CD44. Pharmaceutics. 16(6). 836–836. 2 indexed citations
2.
Yun, Yang, Xuejiao Wang, Jingyi Xu, et al.. (2023). Pristane induced lupus mice as a model for neuropsychiatric lupus (NPSLE). Behavioral and Brain Functions. 19(1). 3–3. 16 indexed citations
3.
Yun, Yang, Jingyi Xu, Jingyu Chen, et al.. (2023). Optogenetic stimulation of basal forebrain cholinergic neurons prevents neuroinflammation and neuropsychiatric manifestations in pristane induced lupus mice. Behavioral and Brain Functions. 19(1). 11–11. 4 indexed citations
4.
Liu, Peiwei, et al.. (2017). Leaf anatomical structure of six Aquilaria species.. 37(5). 565–571. 2 indexed citations
5.
Miller, James, K. L. Kreider, Amy Milsted, et al.. (2013). Mathematical modelling of Pseudomonas aeruginosa biofilm growth and treatment in the cystic fibrosis lung. Mathematical Medicine and Biology A Journal of the IMA. 31(2). 179–204. 10 indexed citations
6.
Miller, James, C. B. Clemons, J. Patrick Wilber, et al.. (2013). Modeling the response of a biofilm to silver-based antimicrobial. Mathematical Biosciences. 244(1). 29–39. 10 indexed citations
7.
Yun, Yang, et al.. (2012). Establishment of SSR Reaction System for Areca catechu. Guangdong nongye kexue. 24(9). 60–68. 1 indexed citations
8.
Miller, James, C. B. Clemons, K. L. Kreider, et al.. (2012). Nanoparticle Deposition onto Biofilms. Annals of Biomedical Engineering. 41(1). 53–67. 22 indexed citations
9.
Reho, John J., et al.. (2011). Increased myogenic reactivity of uterine arteries from pregnant rats with reduced uterine perfusion pressure. Pregnancy Hypertension. 2(2). 106–114. 20 indexed citations
10.
Leid, Jeff G., Andrew J. Ditto, Andreas Knapp, et al.. (2011). In vitro antimicrobial studies of silver carbene complexes: activity of free and nanoparticle carbene formulations against clinical isolates of pathogenic bacteria. Journal of Antimicrobial Chemotherapy. 67(1). 138–148. 119 indexed citations
11.
Min, Wenjiao, Tao Li, Xiaohong Ma, et al.. (2009). Monoamine transporter gene polymorphisms affect susceptibility to depression and predict antidepressant response. Psychopharmacology. 205(3). 409–417. 57 indexed citations
12.
Ditto, Andrew J., Parth N. Shah, & Yang Yun. (2009). Non-viral gene delivery using nanoparticles. Expert Opinion on Drug Delivery. 6(11). 1149–1160. 66 indexed citations
13.
Hindi, K.M., Andrew J. Ditto, Matthew J. Panzner, et al.. (2009). The antimicrobial efficacy of sustained release silver–carbene complex-loaded l-tyrosine polyphosphate nanoparticles: Characterization, in vitro and in vivo studies. Biomaterials. 30(22). 3771–3779. 145 indexed citations
14.
Yun, Yang, et al.. (2009). Generation of contact-printing based poly(ethylene glycol) gradient surfaces with micrometer-sized steps. Colloids and Surfaces B Biointerfaces. 75(1). 115–122. 7 indexed citations
15.
Shah, Parth N., Rachel L. Manthe, Stephanie T. Lopina, & Yang Yun. (2009). Electrospinning of l-tyrosine polyurethanes for potential biomedical applications. Polymer. 50(10). 2281–2289. 45 indexed citations
16.
Ditto, Andrew J., Parth N. Shah, Stephanie T. Lopina, & Yang Yun. (2008). Nanospheres formulated from l-tyrosine polyphosphate as a potential intracellular delivery device. International Journal of Pharmaceutics. 368(1-2). 199–206. 21 indexed citations
17.
Yun, Yang, et al.. (2005). Sustained release of PEG-g-chitosan complexed DNA from poly(lactide-co-glycolide). Journal of Biomaterials Science Polymer Edition. 16(11). 1359–1378. 23 indexed citations
18.
Azeloglu, Evren U., Yang Yun, Adam E. Saltman, et al.. (2005). High resolution mechanical function in the intact porcine heart: mechanical effects of pacemaker location. Journal of Biomechanics. 39(4). 717–725. 8 indexed citations
19.
Yellen, Paige, et al.. (2004). Delivery of a vector encoding mouse hyaluronan synthase 2 via a crosslinked hyaluronan film. Biomaterials. 26(13). 1585–1593. 15 indexed citations
20.
Yun, Yang, Douglas J. Goetz, Paige Yellen, & Weiliam Chen. (2003). Hyaluronan microspheres for sustained gene delivery and site-specific targeting. Biomaterials. 25(1). 147–157. 178 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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