Ada Wong

1.8k total citations
11 papers, 466 citations indexed

About

Ada Wong is a scholar working on Molecular Biology, Pharmacology and Psychiatry and Mental health. According to data from OpenAlex, Ada Wong has authored 11 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Psychiatry and Mental health. Recurrent topics in Ada Wong's work include Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ada Wong is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ada Wong collaborates with scholars based in Hong Kong, United States and China. Ada Wong's co-authors include Qian Tao, Anthony T.�C. Chan, Gopesh Srivastava, Xian Wang, Jianming Ying, Hongchuan Jin, Maria Li Lung, Sun Young Rha, Qian Zhang and Jun Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Oncogene.

In The Last Decade

Ada Wong

10 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ada Wong Hong Kong 7 347 109 93 41 39 11 466
Sonja E. Volker United States 4 308 0.9× 101 0.9× 107 1.2× 43 1.0× 58 1.5× 5 408
Junyu Tan China 8 269 0.8× 95 0.9× 102 1.1× 23 0.6× 39 1.0× 11 348
Liwen Bao China 7 207 0.6× 135 1.2× 88 0.9× 23 0.6× 41 1.1× 17 344
PengXin Zhang China 9 261 0.8× 97 0.9× 55 0.6× 46 1.1× 39 1.0× 31 386
Gregory Miles United States 5 199 0.6× 88 0.8× 117 1.3× 26 0.6× 53 1.4× 5 345
Ryan H. Livengood United States 8 172 0.5× 83 0.8× 53 0.6× 36 0.9× 68 1.7× 17 301
Alexander Hamm Germany 5 209 0.6× 116 1.1× 91 1.0× 88 2.1× 28 0.7× 9 385
Liangdan Tang China 15 220 0.6× 61 0.6× 90 1.0× 33 0.8× 39 1.0× 35 524
Maria Alfonso-Jaume United States 7 238 0.7× 120 1.1× 168 1.8× 41 1.0× 19 0.5× 10 421
Dao Doan United States 7 250 0.7× 179 1.6× 67 0.7× 36 0.9× 20 0.5× 11 437

Countries citing papers authored by Ada Wong

Since Specialization
Citations

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

Fields of papers citing papers by Ada Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Wong

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

All Works

11 of 11 papers shown
1.
Jiang, Hua, Ankita Pal, Ada Wong, et al.. (2025). IL-9 as a naturally orthogonal cytokine with optimal JAK/STAT signaling for engineered T cell therapy. Immunity. 59(1). 177–194.e12.
2.
Wong, Ada, et al.. (2024). Evaluating the accuracy of a self-administered smartphone hearing test application in a geriatric population. European Archives of Oto-Rhino-Laryngology. 282(2). 773–780. 1 indexed citations
3.
Martin, Donel, Divya Kumar, Ada Wong, & Colleen Loo. (2020). A Comparison of Computerized Versus Pen-and-Paper Cognitive Tests for Monitoring Electroconvulsive Therapy–Related Cognitive Side Effects. Journal of Ect. 36(4). 260–264. 3 indexed citations
4.
Prokopec, Stephenie D., Cindy Q. Yao, Ren Sun, et al.. (2019). Comparative toxicoproteogenomics of mouse and rat liver identifies TCDD-resistance genes. Archives of Toxicology. 93(10). 2961–2978. 5 indexed citations
5.
Martin, Donel, Ada Wong, Divya Kumar, & Colleen Loo. (2017). Validation of the 10-Item Orientation Questionnaire. Journal of Ect. 34(1). 21–25. 12 indexed citations
6.
Narayan, Gopeshwar, Luigi Scotto, Neelakantan Vijayalakshmi, et al.. (2009). Protocadherin PCDH10, involved in tumor progression, is a frequent and early target of promoter hypermethylation in cervical cancer. Genes Chromosomes and Cancer. 48(11). 983–992. 58 indexed citations
7.
Ying, Jianming, Jun Yu, Huimin Geng, et al.. (2009). DLEC1 is a functional 3p22.3 tumour suppressor silenced by promoter CpG methylation in colon and gastric cancers. British Journal of Cancer. 100(4). 663–669. 51 indexed citations
8.
Hu, Xinyang, Yichao Fan, Xing‐sheng Shu, et al.. (2009). Phospholipase C delta 1 is a novel 3p22.3 tumor suppressor involved in cytoskeleton organization, with its epigenetic silencing correlated with high-stage gastric cancer. Oncogene. 28(26). 2466–2475. 62 indexed citations
10.
Jin, Hongchuan, Xian Wang, Jian Ying, et al.. (2007). Epigenetic identification of ADAMTS18 as a novel 16q23.1 tumor suppressor frequently silenced in esophageal, nasopharyngeal and multiple other carcinomas. Oncogene. 26(53). 7490–7498. 98 indexed citations
11.
Jin, Hongchuan, Xian Wang, Jianming Ying, et al.. (2007). Epigenetic silencing of a Ca 2+ -regulated Ras GTPase-activating protein RASAL defines a new mechanism of Ras activation in human cancers. Proceedings of the National Academy of Sciences. 104(30). 12353–12358. 105 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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