Y L Yu

21 total papers · 503 total citations
16 papers, 369 citations indexed

About

Y L Yu is a scholar working on Neurology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Y L Yu has authored 16 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Epidemiology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Y L Yu's work include Acute Ischemic Stroke Management (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). Y L Yu is often cited by papers focused on Acute Ischemic Stroke Management (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). Y L Yu collaborates with scholars based in Hong Kong, China and Germany. Y L Yu's co-authors include Franky Leung Chan, K. Y. Fong, Chaoran Huang, E. Woo, Rtf Cheung, Y.K. Cheung, Cyrus R. Kumana, I Lauder, Chawnshang Chang and Simon Shorvon and has published in prestigious journals such as Stroke, Journal of Neurology Neurosurgery & Psychiatry and Journal of Affective Disorders.

In The Last Decade

Y L Yu

14 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Y L Yu	187	158	55	53	34	16	369
Ana de Arce	119 0.6×	147 0.9×	45 0.8×	54 1.0×	69 2.0×	23	397
Nora A. Visser	196 1.0×	99 0.6×	55 1.0×	53 1.0×	38 1.1×	12	406
Leo Davies	179 1.0×	164 1.0×	28 0.5×	28 0.5×	20 0.6×	18	335
Manmohan Mehndiratta	160 0.9×	116 0.7×	95 1.7×	50 0.9×	38 1.1×	28	426
Gitte Irene Strauss	134 0.7×	145 0.9×	37 0.7×	31 0.6×	35 1.0×	16	411
Huimin Fan	128 0.7×	92 0.6×	31 0.6×	79 1.5×	39 1.1×	22	394
Noel Lowry	85 0.5×	80 0.5×	81 1.5×	32 0.6×	33 1.0×	15	361
Avi Front	161 0.9×	67 0.4×	25 0.5×	59 1.1×	40 1.2×	16	408
Lorna M Gibson	78 0.4×	126 0.8×	130 2.4×	42 0.8×	20 0.6×	18	384
Behnam Mansouri	225 1.2×	53 0.3×	48 0.9×	28 0.5×	23 0.7×	20	384

Countries citing papers authored by Y L Yu

Since Specialization

Citations

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

Fields of papers citing papers by Y L Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y L Yu. 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 Y L Yu. The network helps show where Y L Yu may publish in the future.

Co-authorship network of co-authors of Y L Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Y L Yu. A scholar is included among the top collaborators of Y L Yu 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 Y L Yu. Y L Yu 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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