Sherwin Xie

655 total citations
12 papers, 544 citations indexed

About

Sherwin Xie is a scholar working on Biomaterials, Oncology and Molecular Biology. According to data from OpenAlex, Sherwin Xie has authored 12 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomaterials, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Sherwin Xie's work include Nanoparticle-Based Drug Delivery (10 papers), Cancer Treatment and Pharmacology (5 papers) and Microtubule and mitosis dynamics (2 papers). Sherwin Xie is often cited by papers focused on Nanoparticle-Based Drug Delivery (10 papers), Cancer Treatment and Pharmacology (5 papers) and Microtubule and mitosis dynamics (2 papers). Sherwin Xie collaborates with scholars based in United States and Canada. Sherwin Xie's co-authors include Lawrence D. Mayer, Paul Tardi, Troy O. Harasym, David Bermudes, Sharon A. Johnstone, Natashia Harasym, Pierrot Harvie, Natalia Zisman, Andy Eberding and Emma S. Tomlinson Guns and has published in prestigious journals such as Blood, Cancer Research and Journal of Controlled Release.

In The Last Decade

Sherwin Xie

11 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sherwin Xie United States 6 307 227 124 115 75 12 544
Yinghui Wei China 14 200 0.7× 123 0.5× 123 1.0× 22 0.2× 55 0.7× 26 583
Longbing Ling China 17 312 1.0× 264 1.2× 190 1.5× 12 0.1× 47 0.6× 28 663
JingXia Cui China 19 400 1.3× 376 1.7× 155 1.3× 15 0.1× 101 1.3× 27 736
Zhengrong Shen China 17 384 1.3× 67 0.3× 53 0.4× 120 1.0× 164 2.2× 40 744
Jianli Liu China 15 271 0.9× 112 0.5× 41 0.3× 35 0.3× 35 0.5× 45 591
Ziyad Binkhathlan Saudi Arabia 13 304 1.0× 232 1.0× 85 0.7× 9 0.1× 273 3.6× 31 767
Qin He China 14 425 1.4× 168 0.7× 110 0.9× 8 0.1× 53 0.7× 21 734
Hassan Shah Pakistan 15 305 1.0× 404 1.8× 307 2.5× 13 0.1× 69 0.9× 29 894
Srushti Mahajan India 15 179 0.6× 253 1.1× 173 1.4× 12 0.1× 36 0.5× 38 604
Qiujun Qiu China 16 259 0.8× 158 0.7× 220 1.8× 15 0.1× 100 1.3× 19 727

Countries citing papers authored by Sherwin Xie

Since Specialization
Citations

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

Fields of papers citing papers by Sherwin Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherwin Xie

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

All Works

12 of 12 papers shown
1.
Wang, Qi, et al.. (2020). Pharmacokinetics, drug metabolism, and tissue distribution of CPX-351 in animals. Nanomedicine Nanotechnology Biology and Medicine. 30. 102275–102275. 21 indexed citations
3.
Stern, Stęphan T., Peng Zou, Sherwin Xie, et al.. (2013). Prediction of nanoparticle prodrug metabolism by pharmacokinetic modeling of biliary excretion. Journal of Controlled Release. 172(2). 558–567. 8 indexed citations
4.
Johnstone, Sharon A., Steven M. Ansell, Sherwin Xie, Lawrence D. Mayer, & Paul Tardi. (2011). The Use of Radioactive Marker as a Tool to Evaluate the Drug Release in Plasma and Particle Biodistribution of Block Copolymer Nanoparticles. Journal of Drug Delivery. 2011. 1–9. 1 indexed citations
6.
Johnstone, Sharon A., Steven M. Ansell, Troy O. Harasym, et al.. (2010). Abstract 3698: Development of a hydrophobic docetaxel prodrug nanoparticle with enhanced plasma circulation lifetime and improved efficacy. Cancer Research. 70(8_Supplement). 3698–3698. 1 indexed citations
7.
Ansell, Steven M., Sharon A. Johnstone, Paul Tardi, et al.. (2008). Development of highly efficacious hydrophobic paclitaxel prodrugs delivered in nanoparticles for fixed-ratio drug combination applications. Cancer Research. 68. 5734–5734. 3 indexed citations
8.
Tardi, Paul, Sharon A. Johnstone, Natashia Harasym, et al.. (2008). In vivo maintenance of synergistic cytarabine:daunorubicin ratios greatly enhances therapeutic efficacy. Leukemia Research. 33(1). 129–139. 288 indexed citations
10.
Ansell, Steven M., Sharon A. Johnstone, Paul Tardi, et al.. (2008). Modulating the Therapeutic Activity of Nanoparticle Delivered Paclitaxel by Manipulating the Hydrophobicity of Prodrug Conjugates. Journal of Medicinal Chemistry. 51(11). 3288–3296. 110 indexed citations
11.
Eberding, Andy, et al.. (2007). Evaluation of the Antiproliferative Effects of Essiac™ on In Vitro and In Vivo Models of Prostate Cancer Compared to Paclitaxel. Nutrition and Cancer. 58(2). 188–196. 7 indexed citations
12.
Ming, Dong Sheng, Emma S. Tomlinson Guns, Andy Eberding, et al.. (2005). Bioactive compounds fromRhodiola rosea (Crassulaceae). Phytotherapy Research. 19(9). 740–743. 98 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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