Margaret Jane Moore

79 total papers · 918 total citations
36 papers, 490 citations indexed

About

Margaret Jane Moore is a scholar working on Cognitive Neuroscience, Epidemiology and Pharmacology. According to data from OpenAlex, Margaret Jane Moore has authored 36 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 10 papers in Epidemiology and 8 papers in Pharmacology. Recurrent topics in Margaret Jane Moore's work include Spatial Neglect and Hemispheric Dysfunction (20 papers), Acute Ischemic Stroke Management (9 papers) and Musculoskeletal pain and rehabilitation (8 papers). Margaret Jane Moore is often cited by papers focused on Spatial Neglect and Hemispheric Dysfunction (20 papers), Acute Ischemic Stroke Management (9 papers) and Musculoskeletal pain and rehabilitation (8 papers). Margaret Jane Moore collaborates with scholars based in United Kingdom, Australia and United States. Margaret Jane Moore's co-authors include Nele Demeyere, B. N. Noller, Hugh P. Possingham, Owen Nichols, Paolo F. Ricci, Céline R. Gillebert, Daniel P. Chapman, Sheree Marshall Williams, Tara W. Strine and Robert F. Anda and has published in prestigious journals such as Journal of Neuroscience, Neurology and Scientific Reports.

In The Last Decade

Margaret Jane Moore

32 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Margaret Jane Moore	189	95	79	56	53	36	490
Huilin Liu	73 0.4×	121 1.3×	29 0.4×	34 0.6×	16 0.3×	60	543
Wenjuan Zhang	75 0.4×	35 0.4×	13 0.2×	11 0.2×	32 0.6×	33	438
Alexis L. Maule	51 0.3×	112 1.2×	57 0.7×	22 0.4×	8 0.2×	27	421
Michael Lanz	96 0.5×	104 1.1×	25 0.3×	9 0.2×	10 0.2×	27	522
Sung Woo Han	26 0.1×	102 1.1×	136 1.7×	45 0.8×	219 4.1×	27	450
Ji Yeon Kang	34 0.2×	48 0.5×	28 0.4×	7 0.1×	4 0.1×	40	531
Wojciech Czepiel	190 1.0×	104 1.1×	110 1.4×	10 0.2×	226 4.3×	13	486
Shuaijie Wang	26 0.1×	140 1.5×	3 0.0×	29 0.5×	70 1.3×	47	480
Yang Hu	34 0.2×	11 0.1×	12 0.2×	48 0.9×	5 0.1×	30	456
Yonghong Yang	139 0.7×	91 1.0×	24 0.3×	111 2.0×	102 1.9×	28	522

Countries citing papers authored by Margaret Jane Moore

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Jane Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret Jane Moore. 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 Margaret Jane Moore. The network helps show where Margaret Jane Moore may publish in the future.

Co-authorship network of co-authors of Margaret Jane Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Jane Moore. A scholar is included among the top collaborators of Margaret Jane Moore 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 Margaret Jane Moore. Margaret Jane Moore 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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