Pauline C. Ng

21.1k total citations · 6 hit papers
23 papers, 12.5k citations indexed

About

Pauline C. Ng is a scholar working on Molecular Biology, Genetics and Health. According to data from OpenAlex, Pauline C. Ng has authored 23 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Genetics and 1 paper in Health. Recurrent topics in Pauline C. Ng's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Rare Diseases (8 papers) and Genomics and Phylogenetic Studies (8 papers). Pauline C. Ng is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Rare Diseases (8 papers) and Genomics and Phylogenetic Studies (8 papers). Pauline C. Ng collaborates with scholars based in United States, Singapore and Estonia. Pauline C. Ng's co-authors include Steven Henikoff, P. Naresh Kumar, Jing Hu, Georg Schneider, Swarnaseetha Adusumalli, Mile Šikić, Robert Vaser, Samuel Lévy, Sarah S. Murray and Ewen F. Kirkness and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Pauline C. Ng

23 papers receiving 12.3k citations

Hit Papers

Predicting the effects of... 2001 2026 2009 2017 2009 2001 2012 2015 2006 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pauline C. Ng United States 19 7.3k 5.2k 1.4k 873 791 23 12.5k
Kenneth H. Buetow United States 58 7.1k 1.0× 3.5k 0.7× 1.4k 1.0× 1.1k 1.2× 758 1.0× 185 11.5k
Kelly A. Frazer United States 55 9.5k 1.3× 5.2k 1.0× 1.5k 1.1× 723 0.8× 1.2k 1.5× 138 15.2k
Anthony Philippakis United States 30 6.6k 0.9× 4.0k 0.8× 1.5k 1.1× 667 0.8× 527 0.7× 70 11.6k
Shrikant Mane United States 41 6.5k 0.9× 2.8k 0.5× 1.8k 1.3× 1.2k 1.3× 1.3k 1.6× 100 12.5k
Jacek Majewski Canada 56 6.1k 0.8× 2.9k 0.6× 1.1k 0.8× 689 0.8× 958 1.2× 216 9.6k
Donna Maglott United States 26 7.6k 1.0× 3.8k 0.7× 1.7k 1.2× 599 0.7× 503 0.6× 48 11.5k
Peter N. Robinson Germany 59 7.3k 1.0× 5.5k 1.1× 1.6k 1.2× 573 0.7× 595 0.8× 326 13.4k
Joris Vermeesch Belgium 59 6.6k 0.9× 6.4k 1.2× 1.2k 0.9× 517 0.6× 432 0.5× 381 13.3k
Rudi Balling Germany 63 10.3k 1.4× 3.7k 0.7× 731 0.5× 669 0.8× 1.4k 1.7× 177 15.1k
Johan T. den Dunnen Netherlands 72 14.8k 2.0× 5.9k 1.1× 1.8k 1.3× 906 1.0× 749 0.9× 300 20.6k

Countries citing papers authored by Pauline C. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Pauline C. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pauline C. Ng. 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 Pauline C. Ng. The network helps show where Pauline C. Ng may publish in the future.

Co-authorship network of co-authors of Pauline C. Ng

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

All Works

20 of 20 papers shown
1.
Cornejo, Omar E., Muh‐Ching Yee, Mary E. Andrews, et al.. (2018). Population genomic analyses of the chocolate tree, Theobroma cacao L., provide insights into its domestication process. Communications Biology. 1(1). 167–167. 75 indexed citations
2.
Leitsalu, Liis, Helene Alavere, Sébastien Jacquemont, et al.. (2016). Reporting incidental findings of genomic disorder-associated copy number variants to unselected biobank participants. Personalized Medicine. 13(4). 303–314. 8 indexed citations
3.
Adusumalli, Swarnaseetha, et al.. (2015). Assessment of Web-Based Consumer Reviews as a Resource for Drug Performance. Journal of Medical Internet Research. 17(8). e211–e211. 9 indexed citations
4.
Vaser, Robert, et al.. (2015). SIFT missense predictions for genomes. Nature Protocols. 11(1). 1–9. 873 indexed citations breakdown →
5.
Hu, Jing & Pauline C. Ng. (2013). SIFT Indel: Predictions for the Functional Effects of Amino Acid Insertions/Deletions in Proteins. PLoS ONE. 8(10). e77940–e77940. 109 indexed citations
6.
Hu, Jing & Pauline C. Ng. (2012). Predicting the effects of frameshifting indels. Genome biology. 13(2). R9–R9. 87 indexed citations
7.
Kumar, P. Naresh, et al.. (2012). SIFT web server: predicting effects of amino acid substitutions on proteins. Nucleic Acids Research. 40(W1). W452–W457. 1608 indexed citations breakdown →
8.
Ng, Pauline C. & Ewen F. Kirkness. (2010). Whole Genome Sequencing. Methods in molecular biology. 628. 215–226. 200 indexed citations
9.
Harismendy, Olivier, Pauline C. Ng, Robert L. Strausberg, et al.. (2009). Evaluation of next generation sequencing platforms for population targeted sequencing studies. Genome biology. 10(3). R32–R32. 437 indexed citations
10.
Kumar, P. Naresh, Steven Henikoff, & Pauline C. Ng. (2009). Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature Protocols. 4(7). 1073–1081. 4718 indexed citations breakdown →
11.
Ng, Pauline C., Sarah S. Murray, Samuel Lévy, & J. Craig Venter. (2009). An agenda for personalized medicine. Nature. 461(7265). 724–726. 222 indexed citations
12.
Yuan, Lin, Pauline C. Ng, Timothy B. Stockwell, et al.. (2008). The HuRef Browser: a web resource for individual human genomics. Nucleic Acids Research. 37(suppl_1). D1018–D1024. 10 indexed citations
13.
Ng, Pauline C., Samuel Lévy, Jiaqi Huang, et al.. (2008). Genetic Variation in an Individual Human Exome. PLoS Genetics. 4(8). e1000160–e1000160. 190 indexed citations
14.
Eberle, Michael A., Pauline C. Ng, Kenneth Kuhn, et al.. (2007). Power to Detect Risk Alleles Using Genome-Wide Tag SNP Panels. PLoS Genetics. 3(10). e170–e170. 74 indexed citations
15.
Gunderson, Kevin L., Frank J. Steemers, Pauline C. Ng, et al.. (2006). Whole‐Genome Genotyping. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 359–376. 83 indexed citations
16.
Ng, Pauline C. & Steven Henikoff. (2006). Predicting the Effects of Amino Acid Substitutions on Protein Function. Annual Review of Genomics and Human Genetics. 7(1). 61–80. 727 indexed citations breakdown →
17.
Gunderson, Kevin L., Kenneth Kuhn, Frank J. Steemers, et al.. (2006). Whole-Genome Genotyping of Haplotype Tag Single Nucleotide Polymorphisms. Pharmacogenomics. 7(4). 641–648. 53 indexed citations
18.
Ng, Pauline C. & Steven Henikoff. (2002). Accounting for Human Polymorphisms Predicted to Affect Protein Function. Genome Research. 12(3). 436–446. 547 indexed citations breakdown →
19.
Ng, Pauline C. & Steven Henikoff. (2001). Predicting Deleterious Amino Acid Substitutions. Genome Research. 11(5). 863–874. 1943 indexed citations breakdown →
20.
Ng, Pauline C., Jorja G. Henikoff, & Steven Henikoff. (2000). PHAT: a transmembrane-specific substitution matrix. Bioinformatics. 16(9). 760–766. 108 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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