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
Comparison fields: 5 of 70
  • Molecular Biology 293
  • Biomaterials 193
  • Radiology, Nuclear Medicine and Imaging 96
  • Biomedical Engineering 87
  • Materials Chemistry 69
Reiner Zeisig Germany
Pierre‐Alain Burnouf Taiwan
Zoltán Rozsnyay Hungary
Kuo‐Hsiang Chuang Taiwan
Patrick J. Kennedy Portugal
Maja Thim Larsen Denmark
Tamara Montes Spain
Frederika Mandelbaum-Shavit Israel
Francesco Mainini Italy
Nancy L. Boman Canada
Reiner Zeisig Germany View profile →
Citations per field, relative to Xing Q. Pan
Xing Q. Pan · 1×
Citations per year, relative to Xing Q. Pan
Xing Q. Pan · 1×

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
# Title Journal Authors Indexed citations
1 Viscosity-activated reversible fluorescent probe for monitoring the diabetic refractory wound microenvironment Chemical Engineering Journal Wenjuan Fu, Jiakang Shen et al. 0
2 KIF18B as a regulator in microtubule movement accelerates tumor progression and triggers poor outcome in lung adenocarcinoma Tissue and Cell Xing Q. Pan, Yan Shang et al. 18
3 Electromicroscopic observations on gliotoxin-induced apoptosis of cancer cells in culture and human cancer xenografts in transplanted SCID mice. PubMed Xing Q. Pan et al. 14
4 The Way that PEGyl-DSPC Liposomal Doxorubicin Particles Penetrate into Solid Tumor Tissue SHILAP Revista de lepidopterología Xing Q. Pan, Susie Jones et al. 1
5 The Way that PEGyl-DSPC Liposomal Doxorubicin Particles Penetrate into Solid Tumor Tissue. PubMed Xing Q. Pan, Susie Jones et al. 2
6 The Way that PEGyl-DSPC Liposomal Doxorubicin Particles Penetrate into Solid Tumor Tissue SHILAP Revista de lepidopterología Xing Q. Pan, Susie Jones et al. 1
7 In vivo antitumor activity of folate receptor-targeted liposomal daunorubicin in a murine leukemia model. PubMed Xing Q. Pan, Robert J. Lee 25
8 Chitinase induces lysis of MCF-7 cells in culture and of human breast cancer xenograft B11-2 in SCID mice. PubMed Xing Q. Pan et al. 25
9 Penetration into solid tumor tissue of fluorescent latex microspheres: a mimic of liposome particles. PubMed Xing Q. Pan, Robert J. Lee et al. 10
10 Receptor induction and targeted drug delivery: a new antileukaemia strategy Expert Opinion on Biological Therapy Manohar Ratnam, Hao Hong et al. 29
11 Antitumor Activity of Folate Receptor-Targeted Liposomal Doxorubicin in a KB Oral Carcinoma Murine Xenograft Model Pharmaceutical Research Xing Q. Pan, Huaqing Wang et al. 87
12 Strategy for the treatment of acute myelogenous leukemia based on folate receptor β–targeted liposomal doxorubicin combined with receptor induction using all-trans retinoic acid Blood Xing Q. Pan, Xuan Zheng et al. 167
13 Boron-Containing Folate Receptor-Targeted Liposomes as Potential Delivery Agents for Neutron Capture Therapy Bioconjugate Chemistry Xing Q. Pan, Huaqing Wang et al. 75
14 Boron delivery to a murine lung carcinoma using folate receptor-targeted liposomes. PubMed Xing Q. Pan, Huaqing Wang et al. 31
15 Syntheses and Antimalarial Activities of N-Substituted 11-Azaartemisinins Journal of Medicinal Chemistry Daniel S. Torok, Herman Ziffer et al. 58

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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