Pamela M. Loadman

10 total papers · 475 total citations
8 papers, 382 citations indexed

About

Pamela M. Loadman is a scholar working on Neurology, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Pamela M. Loadman has authored 8 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 4 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Pamela M. Loadman's work include Botulinum Toxin and Related Neurological Disorders (4 papers), Motor Control and Adaptation (4 papers) and Muscle activation and electromyography studies (4 papers). Pamela M. Loadman is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (4 papers), Motor Control and Adaptation (4 papers) and Muscle activation and electromyography studies (4 papers). Pamela M. Loadman collaborates with scholars based in Canada, United States and Brazil. Pamela M. Loadman's co-authors include E. Paul Zehr, Sandra R. Hundza, Jaclyn E. Balter, Daniel P. Ferris, Taryn Klarner, Yao Sun, Trevor S. Barss, Alain Frigon, Tsuyoshi Nakajima and Gregory E. P. Pearcey and has published in prestigious journals such as The Journal of Physiology, Journal of Neurophysiology and Experimental Brain Research.

In The Last Decade

Pamela M. Loadman

8 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Pamela M. Loadman	210	155	139	112	94	8	382
Thomas Sinkjær	224 1.1×	184 1.2×	127 0.9×	38 0.3×	45 0.5×	8	359
A. Ricamato	168 0.8×	138 0.9×	91 0.7×	82 0.7×	33 0.4×	9	405
Jeremy W. Noble	178 0.8×	115 0.7×	34 0.2×	81 0.7×	118 1.3×	15	419
George A. Wolfe	127 0.6×	87 0.6×	34 0.2×	87 0.8×	107 1.1×	5	381
Kristan A. Leech	145 0.7×	83 0.5×	42 0.3×	122 1.1×	128 1.4×	12	381
J. Hidler	159 0.8×	83 0.5×	63 0.5×	169 1.5×	126 1.3×	20	370
Nazarena Mazzaro	255 1.2×	134 0.9×	39 0.3×	80 0.7×	103 1.1×	12	376
M. Dufossé	89 0.4×	170 1.1×	203 1.5×	27 0.2×	38 0.4×	14	394
Luciana Oliveira dos Santos	123 0.6×	132 0.9×	252 1.8×	43 0.4×	123 1.3×	16	420
Linda R. Wilson	166 0.8×	215 1.4×	76 0.5×	58 0.5×	59 0.6×	9	409

Countries citing papers authored by Pamela M. Loadman

Since Specialization

Citations

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

Fields of papers citing papers by Pamela M. Loadman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela M. Loadman. 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 Pamela M. Loadman. The network helps show where Pamela M. Loadman may publish in the future.

Co-authorship network of co-authors of Pamela M. Loadman

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela M. Loadman. A scholar is included among the top collaborators of Pamela M. Loadman 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 Pamela M. Loadman. Pamela M. Loadman 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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