Queenie K.‐G. Tan

1.7k total citations
8 papers, 485 citations indexed

About

Queenie K.‐G. Tan is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Queenie K.‐G. Tan has authored 8 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Queenie K.‐G. Tan's work include Plant Gene Expression Analysis (3 papers), Plant Molecular Biology Research (3 papers) and Plant Reproductive Biology (3 papers). Queenie K.‐G. Tan is often cited by papers focused on Plant Gene Expression Analysis (3 papers), Plant Molecular Biology Research (3 papers) and Plant Reproductive Biology (3 papers). Queenie K.‐G. Tan collaborates with scholars based in United States, France and Italy. Queenie K.‐G. Tan's co-authors include Vivian F. Irish, Theresa Hill, Eunyoung Chae, Rebecca Lamb, Marie McDonald, Allyn McConkie‐Rosell, Kristen Deak, Yong‐Hui Jiang, Vandana Shashi and Kelly Schoch and has published in prestigious journals such as Development, PLANT PHYSIOLOGY and Genetics in Medicine.

In The Last Decade

Queenie K.‐G. Tan

8 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Queenie K.‐G. Tan United States 6 403 385 54 33 16 8 485
Chantal Goubely France 11 348 0.9× 358 0.9× 107 2.0× 20 0.6× 28 1.8× 15 541
Shubho Chaudhuri India 13 484 1.2× 348 0.9× 36 0.7× 14 0.4× 12 0.8× 24 613
Minami Shimizu Japan 10 347 0.9× 280 0.7× 56 1.0× 18 0.5× 12 0.8× 20 507
Daniel P. Wickland United States 6 372 0.9× 253 0.7× 75 1.4× 27 0.8× 24 1.5× 12 476
C. Moule United Kingdom 5 353 0.9× 254 0.7× 182 3.4× 26 0.8× 23 1.4× 5 476
Yoon‐Jung Hwang South Korea 10 322 0.8× 261 0.7× 30 0.6× 40 1.2× 6 0.4× 27 391
Reza Hammond United States 11 267 0.7× 261 0.7× 40 0.7× 10 0.3× 9 0.6× 12 384
Grethe‐Elisabeth Stenvik Norway 9 718 1.8× 551 1.4× 17 0.3× 43 1.3× 11 0.7× 11 777
Zongkai Liu China 9 318 0.8× 324 0.8× 47 0.9× 47 1.4× 4 0.3× 14 430

Countries citing papers authored by Queenie K.‐G. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Queenie K.‐G. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Queenie K.‐G. Tan. 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 Queenie K.‐G. Tan. The network helps show where Queenie K.‐G. Tan may publish in the future.

Co-authorship network of co-authors of Queenie K.‐G. Tan

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

All Works

8 of 8 papers shown
1.
Ferenbach, Andrew T., et al.. (2024). Exploiting O-GlcNAc dyshomeostasis to screen O-GlcNAc transferase intellectual disability variants. Stem Cell Reports. 20(1). 102380–102380. 1 indexed citations
2.
Schoch, Kelly, Allyn McConkie‐Rosell, Sophie Nicole, et al.. (2023). Parental perspectives of episodic irritability in an ultra-rare genetic disorder associated with NACC1. Orphanet Journal of Rare Diseases. 18(1). 269–269. 3 indexed citations
3.
Schoch, Kelly, Queenie K.‐G. Tan, Nicholas Stong, et al.. (2020). Alternative transcripts in variant interpretation: the potential for missed diagnoses and misdiagnoses. Genetics in Medicine. 22(7). 1269–1275. 23 indexed citations
4.
Tan, Queenie K.‐G., Diana M. Cardona, Catherine Rehder, & Marie McDonald. (2017). Identification of EPCAM mutation: clinical use of microarray. Clinical Case Reports. 5(6). 980–985. 7 indexed citations
5.
Louie, Raymond J., Queenie K.‐G. Tan, Jennifer B. Gilner, et al.. (2017). Novel pathogenic variants in FOXP3 in fetuses with echogenic bowel and skin desquamation identified by ultrasound. American Journal of Medical Genetics Part A. 173(5). 1219–1225. 21 indexed citations
6.
Chae, Eunyoung, Queenie K.‐G. Tan, Theresa Hill, & Vivian F. Irish. (2008). An Arabidopsis F-box protein acts as a transcriptional co-factor to regulate floral development. Development. 135(7). 1235–1245. 167 indexed citations
7.
Tan, Queenie K.‐G. & Vivian F. Irish. (2006). The Arabidopsis Zinc Finger-Homeodomain Genes Encode Proteins with Unique Biochemical Properties That Are Coordinately Expressed during Floral Development. PLANT PHYSIOLOGY. 140(3). 1095–1108. 140 indexed citations
8.
Lamb, Rebecca, Theresa Hill, Queenie K.‐G. Tan, & Vivian F. Irish. (2002). Regulation ofAPETALA3floral homeotic gene expression by meristem identity genes. Development. 129(9). 2079–2086. 123 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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