Kan Luk Cheung

18 total papers · 1.0k total citations
11 papers, 408 citations indexed

About

Kan Luk Cheung is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Kan Luk Cheung has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Kan Luk Cheung's work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Kan Luk Cheung is often cited by papers focused on Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Kan Luk Cheung collaborates with scholars based in United Kingdom, United States and Singapore. Kan Luk Cheung's co-authors include Christine J. Harrison, Kim Orchard, Fiona M. Ross, G. Reza Jalali, Hazel M. Robinson, Anthony V. Moorman, Gian Paolo Dagrada, Laura Chiecchio, R.K.M. Protheroe and Nicholas C.P. Cross and has published in prestigious journals such as British Journal of Haematology, Leukemia and Genes Chromosomes and Cancer.

In The Last Decade

Kan Luk Cheung

11 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
Kan Luk Cheung 289 239 130 94 91 11 408
ML Slovak 259 0.9× 197 0.8× 138 1.1× 169 1.8× 85 0.9× 17 494
P Jonveaux 195 0.7× 195 0.8× 91 0.7× 110 1.2× 86 0.9× 10 471
G.W. Dewald 329 1.1× 147 0.6× 95 0.7× 51 0.5× 103 1.1× 11 416
Emanuela Giarin 288 1.0× 230 1.0× 193 1.5× 71 0.8× 67 0.7× 16 467
I Radford-Weiss 289 1.0× 166 0.7× 138 1.1× 57 0.6× 105 1.2× 17 420
RP Castleberry 236 0.8× 196 0.8× 75 0.6× 63 0.7× 143 1.6× 9 469
Mauri Keinänen 255 0.9× 216 0.9× 86 0.7× 56 0.6× 80 0.9× 14 466
E R van Wering 285 1.0× 145 0.6× 247 1.9× 68 0.7× 44 0.5× 14 468
Mircéa Adam 251 0.9× 133 0.6× 179 1.4× 55 0.6× 55 0.6× 13 375
Sofia von Palffy 262 0.9× 137 0.6× 148 1.1× 92 1.0× 66 0.7× 10 430

Countries citing papers authored by Kan Luk Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kan Luk Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Luk Cheung

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