Kyle S. Yau

30 total papers · 1.2k total citations
10 papers, 245 citations indexed

About

Kyle S. Yau is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Kyle S. Yau has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Kyle S. Yau's work include Genomics and Rare Diseases (3 papers), Cardiomyopathy and Myosin Studies (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Kyle S. Yau is often cited by papers focused on Genomics and Rare Diseases (3 papers), Cardiomyopathy and Myosin Studies (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Kyle S. Yau collaborates with scholars based in Australia, United States and China. Kyle S. Yau's co-authors include Nigel G. Laing, Gianina Ravenscroft, Mark A. Perrella, Göknur Haliloğlu, Christopher R. Pierson, Alan H. Beggs, Mugdha Joshi, Xiaoli Liu, Beril Talim and Marissa G. Viola and has published in prestigious journals such as The American Journal of Human Genetics, Scandinavian Journal of Immunology and Neuromuscular Disorders.

In The Last Decade

Kyle S. Yau

10 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Kyle S. Yau 144 75 52 43 34 10 245
Annabella Marozza 164 1.1× 39 0.5× 34 0.7× 107 2.5× 10 0.3× 11 287
Nesrin Sabha 220 1.5× 38 0.5× 35 0.7× 31 0.7× 84 2.5× 12 300
Brianne H. Daniels 132 0.9× 14 0.2× 19 0.4× 12 0.3× 43 1.3× 9 316
Ronny Derks 217 1.5× 13 0.2× 31 0.6× 125 2.9× 13 0.4× 14 317
Amal Arachiche 130 0.9× 41 0.5× 53 1.0× 46 1.1× 8 0.2× 11 296
Esther Lim 219 1.5× 97 1.3× 70 1.3× 12 0.3× 26 0.8× 10 295
Anant Kamath 165 1.1× 17 0.2× 14 0.3× 12 0.3× 51 1.5× 12 288
Cécile Réyès 159 1.1× 33 0.4× 30 0.6× 5 0.1× 17 0.5× 12 260
Paul Ling-Fung Tang 142 1.0× 14 0.2× 31 0.6× 109 2.5× 22 0.6× 10 228
M.C. Patrosso 100 0.7× 12 0.2× 17 0.3× 69 1.6× 119 3.5× 9 317

Countries citing papers authored by Kyle S. Yau

Since Specialization
Citations

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

Fields of papers citing papers by Kyle S. Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle S. Yau. 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 Kyle S. Yau. The network helps show where Kyle S. Yau may publish in the future.

Co-authorship network of co-authors of Kyle S. Yau

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle S. Yau. A scholar is included among the top collaborators of Kyle S. Yau 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 Kyle S. Yau. Kyle S. Yau 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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