Winghing Wong

18.2k total citations · 1 hit paper
17 papers, 579 citations indexed

About

Winghing Wong is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Winghing Wong has authored 17 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Hematology. Recurrent topics in Winghing Wong's work include Cancer Genomics and Diagnostics (7 papers), Acute Myeloid Leukemia Research (6 papers) and Epigenetics and DNA Methylation (3 papers). Winghing Wong is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Acute Myeloid Leukemia Research (6 papers) and Epigenetics and DNA Methylation (3 papers). Winghing Wong collaborates with scholars based in United States, United Kingdom and Singapore. Winghing Wong's co-authors include Todd E. Druley, Andrew L. Young, Jamie R. Blundell, Daniel S. Fisher, Caroline J. Watson, Rudolf Meier, Peter S. Cranston, Ting Hui Ng, Darren C. J. Yeo and Heok Hui Tan and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Winghing Wong

15 papers receiving 574 citations

Hit Papers

The evolutionary dynamics and fitness landscape of clonal... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Winghing Wong United States 11 213 198 136 132 114 17 579
Tina Hambuch United States 10 260 1.2× 396 2.0× 93 0.7× 37 0.3× 138 1.2× 15 862
Julian Gutekunst Germany 13 140 0.7× 480 2.4× 100 0.7× 171 1.3× 78 0.7× 17 924
Hsu Chao United States 8 50 0.2× 246 1.2× 148 1.1× 33 0.3× 42 0.4× 15 712
Chun-Ming Huang United States 7 72 0.3× 446 2.3× 172 1.3× 160 1.2× 67 0.6× 8 909
Cody Ashby United States 13 193 0.9× 400 2.0× 74 0.5× 24 0.2× 23 0.2× 51 561
Andrew Holyoake New Zealand 13 69 0.3× 306 1.5× 18 0.1× 128 1.0× 25 0.2× 17 595
Pierre Hutter Switzerland 18 95 0.4× 493 2.5× 246 1.8× 54 0.4× 27 0.2× 48 1.2k
Chenguang Zheng China 18 198 0.9× 308 1.6× 21 0.2× 110 0.8× 234 2.1× 62 792
Rafael Díaz de la Guardia Spain 16 105 0.5× 279 1.4× 18 0.1× 70 0.5× 92 0.8× 45 701
Ashley Kuenzi Davis United States 15 108 0.5× 262 1.3× 53 0.4× 48 0.4× 32 0.3× 26 529

Countries citing papers authored by Winghing Wong

Since Specialization
Citations

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

Fields of papers citing papers by Winghing Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winghing Wong

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

All Works

17 of 17 papers shown
1.
Wong, Winghing, Yao Hu, Xiaochun Xu, et al.. (2025). Translation of miRNA blood-based discovery to molecular testing for clinical diagnosis of endometriosis. SHILAP Revista de lepidopterología. 3(1).
2.
Hu, Yao, Xiaochun Xu, Liang You, et al.. (2024). HeraNorm: an R shiny application for identifying optimal endogenous controls for miRNA and RNA assays in qPCR and ddPCR. Bioinformatics Advances. 5(1). vbaf220–vbaf220.
3.
Rockweiler, Nicole B., Avinash Ramu, Liina Nagirnaja, et al.. (2023). The origins and functional effects of postzygotic mutations throughout the human life span. Science. 380(6641). eabn7113–eabn7113. 19 indexed citations
4.
Erez, Neta, Winghing Wong, Oksana Maksimenko, et al.. (2021). A Non-stop identity complex (NIC) supervises enterocyte identity and protects from premature aging. eLife. 10. 10 indexed citations
5.
Yang, Wei, Minori Tamai, Qiang Zhang, et al.. (2021). Loss of KMT2C reprograms the epigenomic landscape in hPSCs resulting in NODAL overexpression and a failure of hemogenic endothelium specification. Epigenetics. 17(2). 220–238. 8 indexed citations
6.
Wong, Winghing, Sima Bhatt, Kathryn Trinkaus, et al.. (2020). Engraftment of rare, pathogenic donor hematopoietic mutations in unrelated hematopoietic stem cell transplantation. Science Translational Medicine. 12(526). 36 indexed citations
7.
Watson, Caroline J., Winghing Wong, Andrew L. Young, et al.. (2020). The evolutionary dynamics and fitness landscape of clonal hematopoiesis. Science. 367(6485). 1449–1454. 254 indexed citations breakdown →
8.
Crowgey, Erin L., Nitin Mahajan, Winghing Wong, et al.. (2020). Error-corrected sequencing strategies enable comprehensive detection of leukemic mutations relevant for diagnosis and minimal residual disease monitoring. BMC Medical Genomics. 13(1). 32–32. 14 indexed citations
9.
Rajan, Vinothkumar, Winghing Wong, Benjamin King, et al.. (2019). Humanized zebrafish enhance human hematopoietic stem cell survival and promote acute myeloid leukemia clonal diversity. Haematologica. 105(10). 2391–2399. 26 indexed citations
10.
Wong, Winghing, Larry Junck, Todd E. Druley, & David H. Gutmann. (2019). NF1 glioblastoma clonal profiling reveals KMT2B mutations as potential somatic oncogenic events. Neurology. 93(24). 1067–1069. 9 indexed citations
11.
Wong, Winghing, et al.. (2018). Rare Event Detection Using Error-corrected DNA and RNA Sequencing. Journal of Visualized Experiments. 10 indexed citations
12.
Wong, Winghing, et al.. (2018). The Clonal Hematopoietic Spectrum of Down Syndrome and ML-DS. Blood. 132(Supplement 1). 3839–3839. 2 indexed citations
13.
Kutty, Sujatha Narayanan, Winghing Wong, Karen Meusemann, Rudolf Meier, & Peter S. Cranston. (2018). A phylogenomic analysis of Culicomorpha (Diptera) resolves the relationships among the eight constituent families. Systematic Entomology. 43(3). 434–446. 33 indexed citations
14.
Wong, Winghing, et al.. (2017). Error-Corrected Sequencing of Cord Bloods Identifies Pediatric AML-Associated Clonal Hematopoiesis. Blood. 130. 2687–2687. 3 indexed citations
15.
Ng, Ting Hui, et al.. (2016). Molluscs for Sale: Assessment of Freshwater Gastropods and Bivalves in the Ornamental Pet Trade. PLoS ONE. 11(8). e0161130–e0161130. 84 indexed citations
16.
Wong, Winghing, Ywee Chieh Tay, Jayanthi Puniamoorthy, et al.. (2014). ‘Direct PCR’ optimization yields a rapid, cost‐effective, nondestructive and efficient method for obtaining DNA barcodes without DNA extraction. Molecular Ecology Resources. 14(6). 1271–1280. 58 indexed citations
17.
Cranston, Peter S., et al.. (2013). The Nuisance Midges (Diptera: Chironomidae) Of Singapore'S Pandan And Bedok Reservoirs. ˜The œRaffles bulletin of zoology. 13 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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