Philip Low

19 total papers · 800 total citations
12 papers, 581 citations indexed

About

Philip Low is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip Low has authored 12 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip Low's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Cancer Treatment and Pharmacology (2 papers) and Autism Spectrum Disorder Research (2 papers). Philip Low is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Cancer Treatment and Pharmacology (2 papers) and Autism Spectrum Disorder Research (2 papers). Philip Low collaborates with scholars based in United States, United Kingdom and Canada. Philip Low's co-authors include Lauren E. Ta, Anthony J. Windebank, Allan J. Bieber, Charles L. Loprinzi, Susan M. Carlton, Niall Quinn, Caroline Selai, Anette Schrag, C.J. Mathias and Irene Litvan and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Movement Disorders.

In The Last Decade

Philip Low

11 papers receiving 566 citations

Author Peers

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

Author Last Decade Papers Cites
Philip Low 207 199 191 118 85 12 581
E. Matthew Hoffman 199 1.0× 103 0.5× 88 0.5× 160 1.4× 91 1.1× 22 555
Ryan S. Tonkin 285 1.4× 64 0.3× 227 1.2× 72 0.6× 202 2.4× 7 572
Juliette Descoeur 246 1.2× 37 0.2× 252 1.3× 86 0.7× 119 1.4× 13 511
Marianne N. Manjavachi 247 1.2× 37 0.2× 99 0.5× 81 0.7× 140 1.6× 15 601
M G Petruccioli 151 0.7× 66 0.3× 416 2.2× 60 0.5× 154 1.8× 17 666
Shao-Ling Wu 231 1.1× 55 0.3× 84 0.4× 126 1.1× 261 3.1× 18 541
Subo Zhang 194 0.9× 50 0.3× 84 0.4× 78 0.7× 260 3.1× 24 515
Stefania Galbiati 129 0.6× 75 0.4× 220 1.2× 79 0.7× 194 2.3× 10 554
Anne M. Skoff 117 0.6× 51 0.3× 91 0.5× 122 1.0× 138 1.6× 14 566
Jamie Burgess 171 0.8× 162 0.8× 125 0.7× 28 0.2× 69 0.8× 19 512

Countries citing papers authored by Philip Low

Since Specialization
Citations

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

Fields of papers citing papers by Philip Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Low

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