Susan Byrne

147 total papers · 6.9k total citations
89 papers, 4.8k citations indexed

About

Susan Byrne is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Susan Byrne has authored 89 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 22 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Susan Byrne's work include Amyotrophic Lateral Sclerosis Research (25 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neurogenetic and Muscular Disorders Research (14 papers). Susan Byrne is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (25 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neurogenetic and Muscular Disorders Research (14 papers). Susan Byrne collaborates with scholars based in Ireland, United Kingdom and United States. Susan Byrne's co-authors include Orla Hardiman, Marwa Elamin, Peter Bede, Niall Pender, Norah Jordan, Julie Phukan, Catherine Lynch, Russell L. McLaughlin, Kevin P. Kenna and George M. Church and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

In The Last Decade

Susan Byrne

82 papers receiving 4.8k citations

Hit Papers

The syndrome of cognitive... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Susan Byrne 3.0k 1.5k 1.3k 704 575 89 4.8k
Andrea Malaspina 2.9k 1.0× 1.6k 1.1× 1.4k 1.1× 563 0.8× 740 1.3× 104 4.7k
Lorne Zinman 3.0k 1.0× 1.3k 0.8× 1.4k 1.1× 865 1.2× 438 0.8× 126 4.6k
Khrista Boylan 3.3k 1.1× 2.0k 1.4× 1.7k 1.3× 710 1.0× 707 1.2× 101 6.0k
Pamela McCombe 2.8k 0.9× 1.3k 0.8× 1.1k 0.8× 634 0.9× 963 1.7× 231 6.5k
Oded Abramsky 2.1k 0.7× 1.8k 1.2× 1.4k 1.1× 1.1k 1.5× 895 1.6× 197 8.0k
Robert Swingler 3.1k 1.0× 1.0k 0.7× 1.6k 1.3× 432 0.6× 652 1.1× 64 4.6k
Bettina Schmid 1.8k 0.6× 3.2k 2.1× 948 0.7× 641 0.9× 596 1.0× 49 5.3k
Dana Hilt 2.9k 1.0× 1.9k 1.3× 2.2k 1.7× 587 0.8× 364 0.6× 70 6.7k
Paul R. Heath 2.5k 0.8× 3.3k 2.2× 1.4k 1.1× 1.3k 1.9× 1.3k 2.2× 131 6.7k
Terry Heiman‐Patterson 1.9k 0.6× 951 0.6× 1.1k 0.9× 257 0.4× 476 0.8× 95 3.5k

Countries citing papers authored by Susan Byrne

Since Specialization
Citations

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

Fields of papers citing papers by Susan Byrne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Byrne

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