Linda MacArthur

18 total papers · 1.9k total citations
16 papers, 1.5k citations indexed

About

Linda MacArthur is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Linda MacArthur has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Linda MacArthur's work include Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers) and Stroke Rehabilitation and Recovery (2 papers). Linda MacArthur is often cited by papers focused on Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers) and Stroke Rehabilitation and Recovery (2 papers). Linda MacArthur collaborates with scholars based in United States and Netherlands. Linda MacArthur's co-authors include Barbara S. Bregman, Marietta McAtee, Amrita K. Cheema, Steven A. Rich, James M. Haley, Xiaogang Zhong, Derick R. Peterson, Massimo S. Fiandaca, Susan G. Fisher and William J. Hall and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Molecular and Cellular Biology.

In The Last Decade

Linda MacArthur

16 papers receiving 1.5k citations

Hit Papers

Plasma phospholipids iden... 2014 2026 2018 2022 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Linda MacArthur 642 477 415 393 229 16 1.5k
Rose A. Korsak 567 0.9× 392 0.8× 318 0.8× 216 0.5× 291 1.3× 15 1.6k
D K Anderson 379 0.6× 477 1.0× 156 0.4× 782 2.0× 243 1.1× 21 1.7k
Robert D. Azbill 550 0.9× 529 1.1× 181 0.4× 699 1.8× 145 0.6× 11 1.5k
Shawei Chen 653 1.0× 196 0.4× 451 1.1× 303 0.8× 107 0.5× 22 1.4k
Marzia Pesaresi 367 0.6× 382 0.8× 472 1.1× 120 0.3× 122 0.5× 38 1.7k
Kenneth I. Strauss 771 1.2× 459 1.0× 199 0.5× 170 0.4× 305 1.3× 39 1.8k
Krzysztof Hyrc 848 1.3× 801 1.7× 287 0.7× 145 0.4× 216 0.9× 39 1.8k
Dahong Long 686 1.1× 345 0.7× 515 1.2× 64 0.2× 289 1.3× 35 1.7k
Shaffiat Karmally 462 0.7× 688 1.4× 558 1.3× 421 1.1× 301 1.3× 16 1.8k
Andrew Moss 384 0.6× 646 1.4× 913 2.2× 81 0.2× 121 0.5× 22 1.6k

Countries citing papers authored by Linda MacArthur

Since Specialization
Citations

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

Fields of papers citing papers by Linda MacArthur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda MacArthur

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