William S. Prince

18 total papers · 647 total citations
13 papers, 491 citations indexed

About

William S. Prince is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, William S. Prince has authored 13 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Organic Chemistry. Recurrent topics in William S. Prince's work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). William S. Prince is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). William S. Prince collaborates with scholars based in United States, India and Germany. William S. Prince's co-authors include Merna Villarejo, Dana Lee Baker, Dominick Sinicropi, Erhard Bremer, Palaninaicker Senthilkumar, KA Shiffer, Steven Shak, Subpiramaniyam Sivakumar, C.V. Subbhuraam and Alaa Ahmed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Stroke.

In The Last Decade

William S. Prince

13 papers receiving 465 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William S. Prince 201 106 73 57 47 13 491
Florence Armand 247 1.2× 45 0.4× 67 0.9× 58 1.0× 34 0.7× 18 510
Edward D. Renner 247 1.2× 33 0.3× 61 0.8× 16 0.3× 46 1.0× 22 528
Antje Dickmanns 310 1.5× 38 0.4× 35 0.5× 70 1.2× 24 0.5× 15 495
Ye Bi 227 1.1× 83 0.8× 39 0.5× 37 0.6× 68 1.4× 18 545
H. G. Richmond 136 0.7× 68 0.6× 90 1.2× 14 0.2× 25 0.5× 14 511
James D. Webb 282 1.4× 101 1.0× 24 0.3× 68 1.2× 25 0.5× 19 529
Gillian R. Paton 184 0.9× 55 0.5× 38 0.5× 68 1.2× 71 1.5× 14 536
Eric R. Gauthier 239 1.2× 62 0.6× 45 0.6× 18 0.3× 25 0.5× 27 541
Yong Zhang 188 0.9× 35 0.3× 173 2.4× 40 0.7× 22 0.5× 30 535
Eriko Fukuda 296 1.5× 47 0.4× 43 0.6× 21 0.4× 25 0.5× 28 541

Countries citing papers authored by William S. Prince

Since Specialization
Citations

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

Fields of papers citing papers by William S. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William S. Prince

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

All Works

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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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