Anthony N. Shaw
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Biochemical and Structural Characterization 1
-
- Platelet Disorders and Treatments 3
- Co-authors
- Charalambos Andreadis (1 shared paper)Sunil R. Hingorani (1 shared paper)Dashyant Dhanak (1 shared paper)Daniel E. Bauer (1 shared paper)Craig B. Thompson (1 shared paper)David A. Tuveson (1 shared paper)Georgia Hatzivassiliou (1 shared paper)Fangping Zhao (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Cancer Cell (1 paper)Blood (1 paper)Biochemical Journal (1 paper)The Downside Review (3 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Anthony N. Shaw
8 papers receiving 1.1k citations
Anthony N. Shaw's Hit Papers
Peers
Comparison fields: 5 of 86
- Cancer Research 678
- Biochemistry 104
- Molecular Biology 701
- Hematology 72
- Oncology 150
Countries citing papers authored by Anthony N. Shaw
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
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-authors
The 25 scholars most cited alongside Anthony N. Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ATP citrate lyase inhibition can suppress tumor cell growth Hit paper breakdown → | 2005 | 820 |
| 2 | 1998 | 124 | |
| 3 | 2002 | 73 | |
| 4 | 2002 | 44 | |
| 5 | 2004 | 24 | |
| 6 | South Asian Transnational Marriages | 2006 | 3 |
| 7 | 1999 | 2 | |
| 8 | 1998 | 1 | |
| 9 | 1999 | 1 |
About Anthony N. Shaw
Anthony N. Shaw is a scholar working on Molecular Biology, Hematology, History, Cancer Research and Surgery, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (3 papers), Glycosylation and Glycoproteins Research (3 papers), Reformation and Early Modern Christianity (3 papers), Cancer, Lipids, and Metabolism (2 papers), Marriage and Sexual Relationships (1 paper), Biochemical and Structural Characterization (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Cancer Research (678 citations), Biochemistry (104 citations), Molecular Biology (701 citations), Hematology (72 citations) and Oncology (150 citations). Anthony N. Shaw has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Charalambos Andreadis, Sunil R. Hingorani, Dashyant Dhanak, Daniel E. Bauer, Craig B. Thompson, David A. Tuveson, Georgia Hatzivassiliou, Fangping Zhao, Patrick Camilleri and Pieter H.E. Groot. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Cell, Blood, Biochemical Journal and The Downside Review.
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.