Vincent J. Cheung

16 total papers · 551 total citations
14 papers, 400 citations indexed

About

Vincent J. Cheung is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Vincent J. Cheung has authored 14 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Epidemiology. Recurrent topics in Vincent J. Cheung's work include Intracranial Aneurysms: Treatment and Complications (5 papers), Vascular Malformations Diagnosis and Treatment (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Vincent J. Cheung is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (5 papers), Vascular Malformations Diagnosis and Treatment (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Vincent J. Cheung collaborates with scholars based in United States and United Kingdom. Vincent J. Cheung's co-authors include Akash J. Patel, Benjamin D. Fox, Dima Suki, Ganesh Rao, David R. Santiago-Dieppa, Bob S. Carter, David Gonda, Jeffrey Steinberg, Clark C. Chen and Alexander A. Khalessi and has published in prestigious journals such as Neurosurgery, Journal of Visualized Experiments and Neurosurgical FOCUS.

In The Last Decade

Vincent J. Cheung

14 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Vincent J. Cheung	208	142	118	102	85	14	400
Isabelle Tennevet	171 0.8×	144 1.0×	85 0.7×	126 1.2×	129 1.5×	20	382
Irini Karapanagiotou‐Schenkel	166 0.8×	99 0.7×	123 1.0×	97 1.0×	82 1.0×	16	431
H. Al-Halabi	182 0.9×	170 1.2×	163 1.4×	119 1.2×	52 0.6×	17	421
Katarzyna Elandt	119 0.6×	124 0.9×	135 1.1×	71 0.7×	71 0.8×	23	375
Cristina Birzu	107 0.5×	172 1.2×	88 0.7×	110 1.1×	42 0.5×	19	375
Despina Misailidou	183 0.9×	277 2.0×	91 0.8×	65 0.6×	74 0.9×	9	415
Renate Haselmann	212 1.0×	148 1.0×	58 0.5×	93 0.9×	43 0.5×	9	352
Antonio Cremades	142 0.7×	65 0.5×	55 0.5×	131 1.3×	50 0.6×	24	383
Erin Twohy	137 0.7×	118 0.8×	75 0.6×	141 1.4×	80 0.9×	18	381
A. M. Stark	133 0.6×	147 1.0×	72 0.6×	127 1.2×	45 0.5×	15	397

Countries citing papers authored by Vincent J. Cheung

Since Specialization

Citations

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

Fields of papers citing papers by Vincent J. Cheung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent J. Cheung. 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 Vincent J. Cheung. The network helps show where Vincent J. Cheung may publish in the future.

Co-authorship network of co-authors of Vincent J. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent J. Cheung. A scholar is included among the top collaborators of Vincent J. Cheung 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 Vincent J. Cheung. Vincent J. Cheung 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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