Luke Dixon

124 total papers · 1.6k total citations
34 papers, 504 citations indexed

About

Luke Dixon is a scholar working on Genetics, Surgery and Neurology. According to data from OpenAlex, Luke Dixon has authored 34 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Surgery and 7 papers in Neurology. Recurrent topics in Luke Dixon's work include Glioma Diagnosis and Treatment (7 papers), Long-Term Effects of COVID-19 (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Luke Dixon is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Long-Term Effects of COVID-19 (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Luke Dixon collaborates with scholars based in United Kingdom, United States and Germany. Luke Dixon's co-authors include Dermot Mallon, Francesca Tona, Brynmor Jones, Wajanat Jan, Richard Nicholas, Adrian Lim, I. H. Jenkins, David Muir, Alex Everitt and James Varley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and The Journal of Urology.

In The Last Decade

Luke Dixon

32 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Luke Dixon	246	174	106	81	51	34	504
Puneet Belani	260 1.1×	192 1.1×	51 0.5×	58 0.7×	31 0.6×	34	532
Maria J. Borja	246 1.0×	223 1.3×	98 0.9×	102 1.3×	34 0.7×	21	568
Johan Lundberg	152 0.6×	89 0.5×	54 0.5×	50 0.6×	29 0.6×	30	452
Aikaterini Fitsiori	191 0.8×	73 0.4×	114 1.1×	141 1.7×	53 1.0×	24	517
Lázaro Luís Faria do Amaral	148 0.6×	73 0.4×	90 0.8×	65 0.8×	114 2.2×	49	583
Fabrizia Gelardi	176 0.7×	96 0.6×	32 0.3×	156 1.9×	27 0.5×	32	519
D. Freudenstein	266 1.1×	68 0.4×	94 0.9×	26 0.3×	125 2.5×	31	616
Daniele Bagatto	235 1.0×	146 0.8×	58 0.5×	64 0.8×	58 1.1×	40	460
A. Carella	282 1.1×	58 0.3×	76 0.7×	31 0.4×	39 0.8×	71	599
Carol P. Geer	140 0.6×	48 0.3×	73 0.7×	91 1.1×	37 0.7×	27	480

Countries citing papers authored by Luke Dixon

Since Specialization

Citations

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

Fields of papers citing papers by Luke Dixon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Dixon

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