Anthony W. Shaw

1.9k citations
30 papers · 1.3k · h-index 15

Impact in

Papers in

Anthony W. Shaw

29 papers receiving 1.2k citations

Peers

Anthony W. Shaw
Comparison fields: 5 of 100
  • Cell Biology 393
  • Psychiatry and Mental health 213
  • Molecular Biology 708
  • Cellular and Molecular Neuroscience 170
  • Organic Chemistry 218
Replace Derek R. Duckett with:
Derek R. Duckett United States
Steven Chin United States
Raniero Rocchi Italy
Dorothea Lorenz Germany
Jeffrey C. Hansen United States
Brigitte F. Schmidt United States
Juta K. Reed Canada
Mirko Hekman Germany
Volodymyr M. Korkhov Switzerland
Stephen J. Briddon United Kingdom
Anthony W. Shaw relative to Derek R. Duckett United States Derek R. Duckett's profile →
Citations per field
00.5×1.5×1.9×
Derek R. Duckett · 1×
Citations per year

Countries citing papers authored by Anthony W. Shaw

Since Specialization
Citations

This map shows the geographic impact of Anthony W. 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 W. 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 W. Shaw more than expected).

Fields of papers citing papers by Anthony W. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anthony W. Shaw, 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 Anthony W. Shaw Line = papers co-authored together Anthony W. Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000365
2 2004158
3 2007115
4 2007114
5 1977100
6 200174
7 200349
8 200839
9 200731
10 200131
11 199329
12 200821
13 202117
14 201815
15 201014
16 200114
17 197114
18 197214
19 201113
20 196513

About Anthony W. Shaw

Anthony W. Shaw is a scholar working on Organic Chemistry, Molecular Biology, Psychiatry and Mental health, Pathology and Forensic Medicine and Cell Biology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Migraine and Headache Studies (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Trigeminal Neuralgia and Treatments (4 papers), Neuropeptides and Animal Physiology (3 papers), Cellular transport and secretion (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Free Radicals and Antioxidants (2 papers) and Synthesis of heterocyclic compounds (2 papers). The work is most often cited by research in Cell Biology (393 citations), Psychiatry and Mental health (213 citations), Molecular Biology (708 citations), Cellular and Molecular Neuroscience (170 citations) and Organic Chemistry (218 citations). Anthony W. Shaw has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Xiaodong Zhang, Paul S. Freemont, Hisao Kondo, John Lally, Daniel V. Paone, Ingrid Dreveny, Keiji Uchiyama, Marin van Heel, Richard Newman and Elena V. Orlova. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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