Xing Q. Pan

702 total citations
15 papers, 543 citations indexed

About

Xing Q. Pan is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Xing Q. Pan has authored 15 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Biomaterials and 4 papers in Biomedical Engineering. Recurrent topics in Xing Q. Pan's work include Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (4 papers) and RNA modifications and cancer (3 papers). Xing Q. Pan is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (4 papers) and RNA modifications and cancer (3 papers). Xing Q. Pan collaborates with scholars based in United States, China and France. Xing Q. Pan's co-authors include Robert J. Lee, Huaqing Wang, Manohar Ratnam, Xuan Zheng, Huaqing Wang, Steven R. Meshnick, Herman Ziffer, Arba L. Ager, Daniel S. Torok and Werner Tjarks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Chemical Engineering Journal.

In The Last Decade

Xing Q. Pan

14 papers receiving 535 citations

Peers

Xing Q. Pan
Xing Q. Pan
Citations per year, relative to Xing Q. Pan Xing Q. Pan (= 1×) peers Reiner Zeisig

Countries citing papers authored by Xing Q. Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xing Q. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing Q. Pan. 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 Xing Q. Pan. The network helps show where Xing Q. Pan may publish in the future.

Co-authorship network of co-authors of Xing Q. Pan

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

All Works

15 of 15 papers shown
1.
Fu, Wenjuan, Jiakang Shen, Chao Wang, et al.. (2025). Viscosity-activated reversible fluorescent probe for monitoring the diabetic refractory wound microenvironment. Chemical Engineering Journal. 517. 164350–164350.
2.
Pan, Xing Q., et al.. (2019). KIF18B as a regulator in microtubule movement accelerates tumor progression and triggers poor outcome in lung adenocarcinoma. Tissue and Cell. 61. 44–50. 18 indexed citations
3.
Pan, Xing Q., et al.. (2007). Electromicroscopic observations on gliotoxin-induced apoptosis of cancer cells in culture and human cancer xenografts in transplanted SCID mice.. PubMed. 21(2). 259–65. 14 indexed citations
4.
Pan, Xing Q., Susie Jones, & Karen L. Cox. (2006). The Way that PEGyl-DSPC Liposomal Doxorubicin Particles Penetrate into Solid Tumor Tissue. SHILAP Revista de lepidopterología. 1(1). 1 indexed citations
5.
Pan, Xing Q., Susie Jones, & Karen L. Cox. (2006). The Way that PEGyl-DSPC Liposomal Doxorubicin Particles Penetrate into Solid Tumor Tissue.. PubMed. 1. 29–34. 2 indexed citations
6.
Pan, Xing Q., Susie Jones, & Karen L. Cox. (2006). The Way that PEGyl-DSPC Liposomal Doxorubicin Particles Penetrate into Solid Tumor Tissue. SHILAP Revista de lepidopterología. 1. 1342114852–1342114852. 1 indexed citations
7.
Pan, Xing Q. & Robert J. Lee. (2005). In vivo antitumor activity of folate receptor-targeted liposomal daunorubicin in a murine leukemia model.. PubMed. 25(1A). 343–6. 25 indexed citations
8.
Pan, Xing Q., et al.. (2005). Chitinase induces lysis of MCF-7 cells in culture and of human breast cancer xenograft B11-2 in SCID mice.. PubMed. 25(5). 3167–72. 25 indexed citations
9.
Pan, Xing Q., Robert J. Lee, & Manohar Ratnam. (2004). Penetration into solid tumor tissue of fluorescent latex microspheres: a mimic of liposome particles.. PubMed. 24(5A). 3005–8. 10 indexed citations
10.
Ratnam, Manohar, Hao Hong, Xuan Zheng, et al.. (2003). Receptor induction and targeted drug delivery: a new antileukaemia strategy. Expert Opinion on Biological Therapy. 3(4). 563–574. 29 indexed citations
11.
Pan, Xing Q., Huaqing Wang, & Robert J. Lee. (2003). Antitumor Activity of Folate Receptor-Targeted Liposomal Doxorubicin in a KB Oral Carcinoma Murine Xenograft Model. Pharmaceutical Research. 20(3). 417–422. 87 indexed citations
13.
Pan, Xing Q., Huaqing Wang, Supriya Shukla, et al.. (2002). Boron-Containing Folate Receptor-Targeted Liposomes as Potential Delivery Agents for Neutron Capture Therapy. Bioconjugate Chemistry. 13(3). 435–442. 75 indexed citations
14.
Pan, Xing Q., Huaqing Wang, & Robert J. Lee. (2002). Boron delivery to a murine lung carcinoma using folate receptor-targeted liposomes.. PubMed. 22(3). 1629–33. 31 indexed citations
15.
Torok, Daniel S., Herman Ziffer, Steven R. Meshnick, Xing Q. Pan, & Arba L. Ager. (1995). Syntheses and Antimalarial Activities of N-Substituted 11-Azaartemisinins. Journal of Medicinal Chemistry. 38(26). 5045–5050. 58 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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