Andrew Paterson

13 total papers · 405 total citations
12 papers, 327 citations indexed

About

Andrew Paterson is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Andrew Paterson has authored 12 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cell Biology. Recurrent topics in Andrew Paterson's work include Nitric Oxide and Endothelin Effects (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Andrew Paterson is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Andrew Paterson collaborates with scholars based in United Kingdom, United States and Sweden. Andrew Paterson's co-authors include Nikki MacLeod, John C. Curtis, Adrian Bird, Skirmantas Kriaučionis, Jacky Guy, Barry J. Parsons, Nathaniel G.N. Milton, Margarita Gomez Escalada, Erica Suchman and Boris N. Afanasiev and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Andrew Paterson

12 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Andrew Paterson	197	137	58	45	33	12	327
Angelika Zwirner	206 1.0×	87 0.6×	8 0.1×	81 1.8×	24 0.7×	13	340
Ahm M. Huq	132 0.7×	89 0.6×	82 1.4×	32 0.7×	7 0.2×	16	319
Laura Huopaniemi	171 0.9×	91 0.7×	26 0.4×	27 0.6×	6 0.2×	14	358
M. Reza Jabalameli	145 0.7×	82 0.6×	16 0.3×	29 0.6×	15 0.5×	18	308
Lina Lu	115 0.6×	81 0.6×	53 0.9×	19 0.4×	26 0.8×	16	219
Vrushali Chavan	170 0.9×	116 0.8×	14 0.2×	86 1.9×	9 0.3×	10	282
Dalia Galron	238 1.2×	39 0.3×	21 0.4×	37 0.8×	17 0.5×	13	327
Nickolas K. Skamangas	194 1.0×	60 0.4×	14 0.2×	31 0.7×	10 0.3×	8	304
Eleni Katzaki	149 0.8×	232 1.7×	57 1.0×	13 0.3×	11 0.3×	11	318
Seyoung Yu	175 0.9×	48 0.4×	26 0.4×	25 0.6×	11 0.3×	17	287

Countries citing papers authored by Andrew Paterson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Paterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Paterson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Paterson. A scholar is included among the top collaborators of Andrew Paterson 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 Paterson. Andrew Paterson 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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