W. Graham McLean

101 total papers · 2.6k total citations
85 papers, 2.1k citations indexed

About

W. Graham McLean is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, W. Graham McLean has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cellular and Molecular Neuroscience, 29 papers in Physiology and 23 papers in Molecular Biology. Recurrent topics in W. Graham McLean's work include Nerve injury and regeneration (30 papers), Pain Mechanisms and Treatments (13 papers) and Botulinum Toxin and Related Neurological Disorders (11 papers). W. Graham McLean is often cited by papers focused on Nerve injury and regeneration (30 papers), Pain Mechanisms and Treatments (13 papers) and Botulinum Toxin and Related Neurological Disorders (11 papers). W. Graham McLean collaborates with scholars based in United Kingdom, Sweden and Ireland. W. Graham McLean's co-authors include Lars B. Dahlin, Björn Rydevik, J. Sjöstrand, Alan J. Hargreaves, Richard W. Costello, Stephen A. Ward, C. V. Howard, Paul J. Kingham, Nicky Cullum and M. Frizell and has published in prestigious journals such as The Journal of Immunology, Brain Research and Spine.

In The Last Decade

W. Graham McLean

85 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
W. Graham McLean 565 520 379 360 312 85 2.1k
Shinichiro Yamamoto 505 0.9× 360 0.7× 838 2.2× 615 1.7× 148 0.5× 110 3.3k
Eric P. Davidson 1.4k 2.4× 337 0.6× 434 1.1× 331 0.9× 282 0.9× 63 2.5k
Juan R. Vinã 552 1.0× 521 1.0× 1.2k 3.2× 208 0.6× 120 0.4× 88 3.3k
Hugues Henry 823 1.5× 209 0.4× 1.1k 3.0× 247 0.7× 122 0.4× 69 3.0k
Davide Cervia 263 0.5× 314 0.6× 1.2k 3.3× 170 0.5× 159 0.5× 88 2.6k
Sofia Mariotto 415 0.7× 161 0.3× 966 2.5× 262 0.7× 133 0.4× 55 2.8k
Shanshan Wang 576 1.0× 268 0.5× 1.3k 3.5× 142 0.4× 312 1.0× 159 2.9k
Yi‐Chao Lee 167 0.3× 408 0.8× 1.4k 3.7× 287 0.8× 220 0.7× 90 2.8k
Laura Raimondi 511 0.9× 322 0.6× 1.2k 3.3× 251 0.7× 92 0.3× 122 2.9k
George J. Markelonis 372 0.7× 930 1.8× 1.3k 3.6× 206 0.6× 328 1.1× 54 3.1k

Countries citing papers authored by W. Graham McLean

Since Specialization
Citations

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

Fields of papers citing papers by W. Graham McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Graham McLean. 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 W. Graham McLean. The network helps show where W. Graham McLean may publish in the future.

Co-authorship network of co-authors of W. Graham McLean

This figure shows the co-authorship network connecting the top 25 collaborators of W. Graham McLean. A scholar is included among the top collaborators of W. Graham McLean 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 W. Graham McLean. W. Graham McLean 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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