Anthony N. Shaw

16 total papers · 1.7k total citations
9 papers, 1.1k citations indexed

About

Anthony N. Shaw is a scholar working on Molecular Biology, Hematology and History. According to data from OpenAlex, Anthony N. Shaw has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Hematology and 3 papers in History. Recurrent topics in Anthony N. Shaw's work include Reformation and Early Modern Christianity (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Platelet Disorders and Treatments (3 papers). Anthony N. Shaw is often cited by papers focused on Reformation and Early Modern Christianity (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Platelet Disorders and Treatments (3 papers). Anthony N. Shaw collaborates with scholars based in United States, Italy and United Kingdom. Anthony N. Shaw's co-authors include Fangping Zhao, Dashyant Dhanak, Daniel E. Bauer, Charalambos Andreadis, David A. Tuveson, Sunil R. Hingorani, Georgia Hatzivassiliou, Craig B. Thompson, Theo A. Berkhout and Patricia J. Sweeney and has published in prestigious journals such as Blood, Cancer Cell and Biochemical Journal.

In The Last Decade

Anthony N. Shaw

8 papers receiving 1.1k citations

Hit Papers

ATP citrate lyase inhibit... 2005 2026 2012 2019 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Anthony N. Shaw 701 678 150 104 89 9 1.1k
Max Hamaker 793 1.1× 720 1.1× 111 0.7× 99 1.0× 81 0.9× 9 1.1k
Felix Oehme 655 0.9× 515 0.8× 93 0.6× 58 0.6× 55 0.6× 14 1.2k
Chad N. Hancock 1.0k 1.5× 637 0.9× 252 1.7× 114 1.1× 60 0.7× 16 1.4k
Shu Lim 687 1.0× 344 0.5× 94 0.6× 88 0.8× 84 0.9× 22 1.1k
Hee Chan Yoo 627 0.9× 535 0.8× 136 0.9× 114 1.1× 55 0.6× 10 1.0k
Sminu Bose 847 1.2× 746 1.1× 179 1.2× 88 0.8× 74 0.8× 14 1.2k
Erol C. Bayraktar 997 1.4× 645 1.0× 181 1.2× 81 0.8× 151 1.7× 14 1.4k
Sallyann L. O’Brien 906 1.3× 905 1.3× 231 1.5× 67 0.6× 65 0.7× 15 1.4k
Chiara Balestrieri 733 1.0× 495 0.7× 253 1.7× 62 0.6× 78 0.9× 19 1.1k
Reza Beheshti Zavareh 623 0.9× 253 0.4× 233 1.6× 87 0.8× 33 0.4× 15 911

Countries citing papers authored by Anthony N. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Anthony N. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony N. Shaw. 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 Anthony N. Shaw. The network helps show where Anthony N. Shaw may publish in the future.

Co-authorship network of co-authors of Anthony N. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony N. Shaw. A scholar is included among the top collaborators of Anthony N. Shaw 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 Anthony N. Shaw. Anthony N. Shaw 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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