Paul S. Uster

31 papers receiving 1.8k citations

Peers

Paul S. Uster
Comparison fields: 5 of 106
  • Biomaterials 845
  • Pharmaceutical Science 97
  • Molecular Biology 907
  • Radiology, Nuclear Medicine and Imaging 226
  • Biomedical Engineering 476
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Countries citing papers authored by Paul S. Uster

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Uster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Uster. 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 Paul S. Uster. The network helps show where Paul S. Uster may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul S. Uster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul S. Uster Line = papers co-authored together Paul S. Uster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effective targeting of solid tumors in patients with locally advanced cancers by radiolabeled pegylated liposomes.
2001461
2 1996253
3 199789
4 198581
5 198680
6 198678
7 200076
8 200074
9
Pegylated liposome-encapsulated doxorubicin and cisplatin enhance the effect of radiotherapy in a tumor xenograft model.
200070
10 198168
11
Pegylated liposomes have potential as vehicles for intratumoral and subcutaneous drug delivery.
200066
12 199563
13 198960
14 199357
15 199940
16
Encapsulation of the topoisomerase I inhibitor GL147211C in pegylated (STEALTH) liposomes: pharmacokinetics and antitumor activity in HT29 colon tumor xenografts.
199840
17 199935
18 199832
19 200026
20 200822

About Paul S. Uster

Paul S. Uster is a scholar working on Molecular Biology, Biomaterials, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (13 papers), RNA Interference and Gene Delivery (9 papers), Lipid Membrane Structure and Behavior (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Head and Neck Cancer Studies (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (845 citations), Pharmaceutical Science (97 citations), Molecular Biology (907 citations), Radiology, Nuclear Medicine and Imaging (226 citations) and Biomedical Engineering (476 citations). Paul S. Uster has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kevin J. Harrington, J.S.W. Stewart, A. M. Peters, R G Vile, David W. Deamer, S. Mohammadtaghi, Daphne M. Glass, Mary S. Newman, Theresa M. Allen and Jan Vaage. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Cancer Chemotherapy and Pharmacology, International Journal of Radiation Oncology*Biology*Physics and Methods in enzymology on CD-ROM/Methods in enzymology.

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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