Andrew C. Newby

10.3k total citations · 1 hit paper
149 papers, 8.3k citations indexed

About

Andrew C. Newby is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Andrew C. Newby has authored 149 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 40 papers in Surgery and 31 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Andrew C. Newby's work include Adenosine and Purinergic Signaling (31 papers), Coronary Interventions and Diagnostics (21 papers) and Cardiac and Coronary Surgery Techniques (18 papers). Andrew C. Newby is often cited by papers focused on Adenosine and Purinergic Signaling (31 papers), Coronary Interventions and Diagnostics (21 papers) and Cardiac and Coronary Surgery Techniques (18 papers). Andrew C. Newby collaborates with scholars based in United Kingdom, United States and Netherlands. Andrew C. Newby's co-authors include Mark Bond, Alla B. Zaltsman, Gianni D. Angelini, Graciela B. Sala‐Newby, Andrew H. Baker, Malcolm Lewis, Martin R. Bennett, J. Paul Luzio, Tudor M. Griffith and Rosalind P. Fabunmi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Andrew C. Newby

149 papers receiving 8.0k citations

Hit Papers

The nature of endothelium-derived vascular relaxant factor 1984 2026 1998 2012 1984 100 200 300 400

Peers

Andrew C. Newby
Comparison fields: 5 of 139
  • Molecular Biology 3.1k
  • Surgery 1.9k
  • Cardiology and Cardiovascular Medicine 1.6k
  • Cancer Research 1.4k
  • Physiology 1.3k
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Citations per field, relative to Andrew C. Newby
Andrew C. Newby · 1×
Citations per year, relative to Andrew C. Newby
Andrew C. Newby · 1×

Countries citing papers authored by Andrew C. Newby

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew C. Newby. 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 Andrew C. Newby. The network helps show where Andrew C. Newby may publish in the future.

Co-authorship network of co-authors of Andrew C. Newby

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 18
3 64
4 13
5 13
6 43
7 33
8 98
9 30
10 95
11 65
12 53
13 122
14 44
15 66
16 22
17 6
18 91
19 94
20 59

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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2026