David J. Wong

9.8k citations
28 papers · 7.7k indexed · 4 hit papers · h-index 22
Topics
Cancer Genomics and Diagnostics (5 papers)Epigenetics and DNA Methylation (5 papers)Marine Sponges and Natural Products (4 papers)

In The Last Decade

David J. Wong

28 papers receiving 7.6k citations

Hit Papers

Long non-coding RNA HOTAIR reprograms chr...1993202620042015201019932008200910002.0k3.0k4.0k

Peers

David J. Wong
Comparison fields: 5 of 126
  • Molecular Biology 5.7k
  • Cancer Research 4.3k
  • Oncology 1.1k
  • Surgery 834
  • Immunology 688
Replace Cristina Peña with:
Cristina Peña Spain
Longbang Chen China
Marie‐Christine Rio France
Yunfei Yuan China
Chang Gong China
Sun-Mi Park United States
John G. Clohessy United States
Mariano Monzó Spain
Yongkun Wei United States
M. James You United States
David J. Wong relative to Cristina Peña Spain Cristina Peña's profile →
Citations per field
00.5×2.9×
Cristina Peña · 1×
Citations per year

Countries citing papers authored by David J. Wong

Since Specialization
Citations

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

Fields of papers citing papers by David J. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Wong. A scholar is included among the top collaborators of David J. 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 David J. Wong. David J. Wong 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
#WorkIndexed citations
1 21
2 34
3 140
4
Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasisbreakdown →
4231
5 178
6 21
7
Identification, molecular characterization, clinical prognosis, and therapeutic targeting of human bladder tumor-initiating cellsbreakdown →
513
8 56
9 45
10 360
11 29
12
Module Map of Stem Cell Genes Guides Creation of Epithelial Cancer Stem Cellsbreakdown →
527
13 63
14 21
15 30
16 2
17 96
18 353
19 34
20 72

About David J. Wong

David J. Wong is a scholar working on Biotechnology, Cancer Research and Organic Chemistry, having authored 28 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (5 papers) and Marine Sponges and Natural Products (4 papers). The work is most often cited by research in Cancer Research (4.3k citations), Molecular Biology (5.7k citations) and Oncology (1.1k citations). David J. Wong has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Howard Y. Chang, Marc J. van de Vijver, Tiffany Hung, Robert B. West, Pedram Argani, Pius Brzoska, Rajnish A. Gupta, Rui Li, Yulei Wang and Ke Wang. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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