James G. McLeod

49 total papers · 1.2k total citations
30 papers, 886 citations indexed

About

James G. McLeod is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, James G. McLeod has authored 30 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 7 papers in Molecular Biology. Recurrent topics in James G. McLeod's work include Hereditary Neurological Disorders (7 papers), Peripheral Neuropathies and Disorders (5 papers) and Multiple Sclerosis Research Studies (4 papers). James G. McLeod is often cited by papers focused on Hereditary Neurological Disorders (7 papers), Peripheral Neuropathies and Disorders (5 papers) and Multiple Sclerosis Research Studies (4 papers). James G. McLeod collaborates with scholars based in Australia, United States and United Kingdom. James G. McLeod's co-authors include John D. Pollard, Robert Ouvrier, Garth A. Nicholson, J. F. Hallpike, Michael Barnett, Alan McDougall, Pieter A. Bolhuis, David A. Ross, Linda J. Valentijn and Robert M. DeKroon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Brain.

In The Last Decade

James G. McLeod

28 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
James G. McLeod 475 326 173 155 149 30 886
Junko Taniguchi 300 0.6× 265 0.8× 167 1.0× 232 1.5× 312 2.1× 32 1.0k
Dominic B. Fee 294 0.6× 201 0.6× 168 1.0× 390 2.5× 139 0.9× 23 799
Tiziana Vigo 271 0.6× 351 1.1× 188 1.1× 220 1.4× 58 0.4× 23 876
Beverly Bealmear 225 0.5× 319 1.0× 153 0.9× 155 1.0× 145 1.0× 27 762
John D. Waggener 194 0.4× 298 0.9× 175 1.0× 113 0.7× 117 0.8× 21 825
Robert G. Farrer 286 0.6× 334 1.0× 116 0.7× 386 2.5× 45 0.3× 26 947
Dyck Pj 378 0.8× 319 1.0× 119 0.7× 128 0.8× 39 0.3× 26 820
Narman Puvanachandra 368 0.8× 121 0.4× 397 2.3× 297 1.9× 155 1.0× 21 1.0k
R.P.M. Bruyn 358 0.8× 408 1.3× 256 1.5× 145 0.9× 60 0.4× 26 912
Julio Pardo 553 1.2× 690 2.1× 70 0.4× 191 1.2× 65 0.4× 27 1.0k

Countries citing papers authored by James G. McLeod

Since Specialization
Citations

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

Fields of papers citing papers by James G. McLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. McLeod. 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 James G. McLeod. The network helps show where James G. McLeod may publish in the future.

Co-authorship network of co-authors of James G. McLeod

This figure shows the co-authorship network connecting the top 25 collaborators of James G. McLeod. A scholar is included among the top collaborators of James G. McLeod 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 James G. McLeod. James G. McLeod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026