George W. Tin

406 total citations
9 papers, 335 citations indexed

About

George W. Tin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, George W. Tin has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in George W. Tin's work include Lipid Membrane Structure and Behavior (3 papers), Sphingolipid Metabolism and Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). George W. Tin is often cited by papers focused on Lipid Membrane Structure and Behavior (3 papers), Sphingolipid Metabolism and Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). George W. Tin collaborates with scholars based in United States. George W. Tin's co-authors include John D. Baldeschwieler, Lawrence E. Williams, Richard T. Proffitt, Ronald C. Gamble, Cary A. Presant, Peng Wu, Mitree M. Ponpipom, T. Y. Shen, John Stuehr and J R Schuh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Inorganic Chemistry.

In The Last Decade

George W. Tin

8 papers receiving 306 citations

Peers

George W. Tin
Comparison fields: 5 of 69
  • Molecular Biology 176
  • Biomaterials 139
  • Radiology, Nuclear Medicine and Imaging 88
  • Biomedical Engineering 67
  • Oncology 40
Replace C. Swain with:
C. Swain United Kingdom
David F. Ranney United States
M. Farao Italy
Pieter R. Cullis Canada
Wilson Cheng Canada
Toshiyuki Suzawa Japan
Virna Borowski United States
Susan Bogdanowich-Knipp United States
Paolo Caccia Italy
C. Swain United Kingdom View profile →
Citations per field, relative to George W. Tin
George W. Tin · 1×
Citations per year, relative to George W. Tin
George W. Tin · 1×

Countries citing papers authored by George W. Tin

Since Specialization
Citations

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

Fields of papers citing papers by George W. Tin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George W. Tin. 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 George W. Tin. The network helps show where George W. Tin may publish in the future.

Co-authorship network of co-authors of George W. Tin

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

All Works

9 of 9 papers shown
# Work Indexed citations
1
Biodistribution of phospholipid vesicles in mice bearing Lewis lung carcinoma and granuloma.
17
2 157
3
Tumor-imaging potential of liposomes loaded with In-111-NTA: biodistribution in mice.
94
4 1
5 4
6 16
7 21
8 15
9 10

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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