Wai‐Ki Yip

696 total citations
14 papers, 180 citations indexed

About

Wai‐Ki Yip is a scholar working on Genetics, Epidemiology and Molecular Biology. According to data from OpenAlex, Wai‐Ki Yip has authored 14 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Wai‐Ki Yip's work include Genetic Associations and Epidemiology (5 papers), Cancer Genomics and Diagnostics (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Wai‐Ki Yip is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Cancer Genomics and Diagnostics (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Wai‐Ki Yip collaborates with scholars based in United States, Germany and Denmark. Wai‐Ki Yip's co-authors include Nan M. Laird, Iuliana Ionita‐Laza, Christoph Lange, Dandi Qiao, Benjamin A. Raby, Kristina Mullin, Johannes T. Roehr, Lars Bertram, Rudolph E. Tanzi and Alfredo Ramı́rez and has published in prestigious journals such as Bioinformatics, PLoS ONE and Neurology.

In The Last Decade

Wai‐Ki Yip

14 papers receiving 177 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wai‐Ki Yip United States 6 92 57 32 23 22 14 180
Astrid M. Manuel United States 10 111 1.2× 131 2.3× 8 0.3× 25 1.1× 30 1.4× 19 255
Zhanye Zheng China 6 107 1.2× 159 2.8× 7 0.2× 19 0.8× 20 0.9× 7 255
Elisabeth E. Mlynarski United States 8 107 1.2× 145 2.5× 11 0.3× 8 0.3× 28 1.3× 11 209
Surajit Bhattacharya United States 6 16 0.2× 76 1.3× 29 0.9× 39 1.7× 16 0.7× 18 144
Nirmal Vadgama United Kingdom 7 35 0.4× 84 1.5× 12 0.4× 7 0.3× 12 0.5× 13 168
Yixuan Qiu United States 5 121 1.3× 68 1.2× 5 0.2× 8 0.3× 11 0.5× 17 224
Stephen Davison United Kingdom 5 66 0.7× 51 0.9× 16 0.5× 7 0.3× 3 0.1× 12 141
Férechté Razavi France 8 53 0.6× 130 2.3× 21 0.7× 7 0.3× 25 1.1× 15 194
M. Sadman Sakib Germany 11 64 0.7× 247 4.3× 11 0.3× 16 0.7× 28 1.3× 15 334
Ke Zhao China 7 95 1.0× 176 3.1× 5 0.2× 16 0.7× 17 0.8× 17 263

Countries citing papers authored by Wai‐Ki Yip

Since Specialization
Citations

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

Fields of papers citing papers by Wai‐Ki Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Ki Yip. 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 Wai‐Ki Yip. The network helps show where Wai‐Ki Yip may publish in the future.

Co-authorship network of co-authors of Wai‐Ki Yip

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Ki Yip. A scholar is included among the top collaborators of Wai‐Ki Yip 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 Wai‐Ki Yip. Wai‐Ki Yip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Levy, Emily R., Wai‐Ki Yip, Michael Super, et al.. (2019). Evaluation of Mannose Binding Lectin Gene Variants in Pediatric Influenza Virus-Related Critical Illness. Frontiers in Immunology. 10. 1005–1005. 5 indexed citations
2.
Fabrizio, David, Coren A. Milbury, Wai‐Ki Yip, et al.. (2019). Abstract A028: Clinical and analytic validation of FoundationOne CDx™ for NTRK fusion-positive solid tumors in patients treated with entrectinib. Molecular Cancer Therapeutics. 18(12_Supplement). A028–A028. 2 indexed citations
3.
Yip, Wai‐Ki, Joel Skoletsky, Pei Ma, et al.. (2018). Abstract 1607: An ERBB2 follow-on companion diagnostic for clinical care of patients with breast cancer. Cancer Research. 78(13_Supplement). 1607–1607. 1 indexed citations
4.
Fabrizio, David, Coren A. Milbury, Wai‐Ki Yip, et al.. (2018). Analytic validation of tumor mutational burden as a companion diagnostic for combination immunotherapy in non-small cell lung cancer. Annals of Oncology. 29. viii16–viii16. 9 indexed citations
5.
McDonald, Merry‐Lynn, Sungho Won, Manuel Mattheisen, et al.. (2017). Body mass index change in gastrointestinal cancer and chronic obstructive pulmonary disease is associated with Dedicator of Cytokinesis 1. Journal of Cachexia Sarcopenia and Muscle. 8(3). 428–436. 8 indexed citations
6.
Levy, Emily R., Wai‐Ki Yip, Michael Super, et al.. (2017). 41: ASSOCIATION OF MANNOSE-BINDING LECTIN WITH INFLUENZA CRITICAL ILLNESS IN CHILDREN. Critical Care Medicine. 46(1). 21–21. 1 indexed citations
7.
Hooli, Basavaraj, Antonio Parrado, Kristina Mullin, et al.. (2014). The rare TREM2 R47H variant exerts only a modest effect on Alzheimer disease risk. Neurology. 83(15). 1353–1358. 31 indexed citations
8.
Yip, Wai‐Ki, Heide Fier, Dawn L. DeMeo, et al.. (2014). A Novel Method for Detecting Association Between DNA Methylation and Diseases Using Spatial Information. Genetic Epidemiology. 38(8). 714–721. 2 indexed citations
9.
Lutz, Sharon M., Wai‐Ki Yip, John E. Hokanson, Nan M. Laird, & Christoph Lange. (2013). A general semi-parametric approach to the analysis of genetic association studies in population-based designs. BMC Genetics. 14(1). 13–13. 2 indexed citations
10.
Yip, Wai‐Ki, et al.. (2013). Rare Variant Analysis for Family-Based Design. PLoS ONE. 8(1). e48495–e48495. 89 indexed citations
11.
Qiao, Dandi, Wai‐Ki Yip, & Christoph Lange. (2012). Handling the data management needs of high-throughput sequencing data: SpeedGene, a compression algorithm for the efficient storage of genetic data. BMC Bioinformatics. 13(1). 100–100. 12 indexed citations
12.
Yip, Wai‐Ki, et al.. (2011). Identifying causal rare variants of disease through family-based analysis of Genetics Analysis Workshop 17 data set. BMC Proceedings. 5(S9). S21–S21. 11 indexed citations
13.
Yip, Wai‐Ki & Christoph Lange. (2011). Quantitative trait prediction based on genetic marker-array data, a simulation study. Bioinformatics. 27(6). 745–748. 5 indexed citations
14.
Lipman, Peter J.L., et al.. (2011). On the analysis of sequence data: testing for disease susceptibility loci using patterns of linkage disequilibrium. Genetic Epidemiology. 35(8). 880–886. 2 indexed citations

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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