Kevin Yau

63 total papers · 1.3k total citations
32 papers, 538 citations indexed

About

Kevin Yau is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases and Nephrology. According to data from OpenAlex, Kevin Yau has authored 32 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Infectious Diseases and 7 papers in Nephrology. Recurrent topics in Kevin Yau's work include Diabetes Treatment and Management (12 papers), COVID-19 Clinical Research Studies (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Kevin Yau is often cited by papers focused on Diabetes Treatment and Management (12 papers), COVID-19 Clinical Research Studies (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Kevin Yau collaborates with scholars based in Canada, United States and China. Kevin Yau's co-authors include David Z.I. Cherney, Atit Dharia, C. C. Chung, Tony K.T. Lam, Michael Ka Wah Li, D. C. K. Ng, Hester Yui Shan Cheung, W.W.C. Tsang, Cunjie Zhang and Anas M. Abdel Rahman and has published in prestigious journals such as Nature Communications, Annals of Surgery and Scientific Reports.

In The Last Decade

Kevin Yau

29 papers receiving 526 citations

Hit Papers

Prescribing SGLT2 Inhibit... 2022 2026 2023 2024 2022 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Kevin Yau 154 149 111 97 95 32 538
Chang Chu 90 0.6× 86 0.6× 121 1.1× 107 1.1× 49 0.5× 41 528
Guillaume Favrè 81 0.5× 103 0.7× 121 1.1× 162 1.7× 53 0.6× 30 611
Takahiro Yamaji 127 0.8× 72 0.5× 103 0.9× 134 1.4× 33 0.3× 28 496
Nuzhet O. Atuk 96 0.6× 167 1.1× 88 0.8× 55 0.6× 35 0.4× 27 603
Clara García-Carro 157 1.0× 114 0.8× 89 0.8× 144 1.5× 81 0.9× 28 490
Devin Steenkamp 244 1.6× 167 1.1× 109 1.0× 68 0.7× 65 0.7× 49 551
Selvihan Beysel 128 0.8× 90 0.6× 58 0.5× 95 1.0× 71 0.7× 38 487
Viktor Wintzell 310 2.0× 198 1.3× 130 1.2× 45 0.5× 44 0.5× 24 614
Jennifer A. Schaub 98 0.6× 100 0.7× 106 1.0× 147 1.5× 42 0.4× 23 526
Moneeza K. Siddiqui 228 1.5× 74 0.5× 100 0.9× 89 0.9× 35 0.4× 35 572

Countries citing papers authored by Kevin Yau

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Yau

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