Anthony Davies

4.0k citations
50 papers · 3.3k · h-index 32

Impact in

Papers in

Anthony Davies

49 papers receiving 3.2k citations

Peers

Anthony Davies
Comparison fields: 5 of 122
  • Physiology 360
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 2.2k
  • Physiology 631
  • Sensory Systems 113
Replace G. Campbell with:
G. Campbell United Kingdom
Adrienne S. Gordon United States
Shinya Nagamatsu Japan
Françoise Cluzeaud France
Kishio Furuya Japan
James C. Garrison United States
Gunnar Schulte Sweden
Rennolds S. Ostrom United States
Yigal H. Ehrlich United States
Christian Nanoff Austria
Anthony Davies relative to G. Campbell United Kingdom G. Campbell's profile →
Citations per field
00.5×1.5×
G. Campbell · 1×
Citations per year

Countries citing papers authored by Anthony Davies

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997354
2 2008324
3 2007275
4 2004209
5 2005178
6 2010173
7 2002122
8 1987122
9 2006121
10 200195
11 200175
12 199172
13 199072
14 199870
15 199070
16 200567
17 200161
18 200655
19 199652
20
Site-specific antibodies as probes of the topology and function of the human erythrocyte glucose transporter.
199051

About Anthony Davies

Anthony Davies is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cell Biology and Physiology, having authored 50 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (16 papers), Neuroscience and Neuropharmacology Research (8 papers), Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Receptor Mechanisms and Signaling (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Adenosine and Purinergic Signaling (5 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Physiology (360 citations), Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (2.2k citations), Physiology (631 citations) and Sensory Systems (113 citations). Anthony Davies has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Annette Dolphin, Stephen A. Baldwin, Alexandra Tran-Van-Minh, Jan Hendrich, Manuela Nieto‐Rostro, Fay Heblich, Leon Douglas, Adrian J. Butcher, Wendy S. Pratt and Carles Cantı́. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes and Biochemical Society Transactions.

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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