Susan Armour

16 total papers · 1.0k total citations
13 papers, 724 citations indexed

About

Susan Armour is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Susan Armour has authored 13 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Susan Armour's work include Plant Virus Research Studies (5 papers), Receptor Mechanisms and Signaling (4 papers) and Plant and Fungal Interactions Research (3 papers). Susan Armour is often cited by papers focused on Plant Virus Research Studies (5 papers), Receptor Mechanisms and Signaling (4 papers) and Plant and Fungal Interactions Research (3 papers). Susan Armour collaborates with scholars based in United States, Netherlands and United Kingdom. Susan Armour's co-authors include Gary Gustafson, Terry Kenakin, Wen-Ji Chen, Jean L. Roberts, S Malcolm, E. Murphy, Clive Waldron, James M. Way, Chris Watson and Grace Chen and has published in prestigious journals such as Nucleic Acids Research, Virology and Molecular Pharmacology.

In The Last Decade

Susan Armour

13 papers receiving 686 citations

Author Peers

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

Author						Papers	Cites
Susan Armour	442	359	172	105	101	13	724
Roger F. Drong	508 1.1×	282 0.8×	73 0.4×	65 0.6×	70 0.7×	21	788
Audrey Larkins	267 0.6×	293 0.8×	57 0.3×	25 0.2×	47 0.5×	14	832
R E Rhoads	617 1.4×	158 0.4×	33 0.2×	37 0.4×	60 0.6×	15	850
Larry J. Bischof	505 1.1×	98 0.3×	85 0.5×	22 0.2×	25 0.2×	17	902
J.Lawrence Marsh	582 1.3×	211 0.6×	42 0.2×	25 0.2×	70 0.7×	8	845
Fernando Soriano	494 1.1×	190 0.5×	41 0.2×	9 0.1×	201 2.0×	15	767
Pia Runeberg‐Roos	486 1.1×	258 0.7×	179 1.0×	19 0.2×	139 1.4×	19	778
Chaohua Dong	279 0.6×	201 0.6×	48 0.3×	13 0.1×	14 0.1×	26	755
Marilynn K. Rumley	386 0.9×	73 0.2×	38 0.2×	36 0.3×	55 0.5×	20	683
Yoshinori Matsuo	434 1.0×	222 0.6×	37 0.2×	8 0.1×	76 0.8×	35	706

Countries citing papers authored by Susan Armour

Since Specialization

Citations

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

Fields of papers citing papers by Susan Armour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Armour

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