Edwin Wang

4.9k citations
94 papers · 3.3k · h-index 32

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Bioinformatics and Genomic Networks
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Gene expression and cancer classification
    • Circular RNAs in diseases

Papers in

    • Bioinformatics and Genomic Networks 19
    • Gene expression and cancer classification 11
    • Epigenetics and DNA Methylation 7
    • Gene Regulatory Network Analysis 7
    • Cancer Genomics and Diagnostics 12
    • MicroRNA in disease regulation 8

Edwin Wang

89 papers receiving 3.3k citations

Peers

Edwin Wang
Comparison fields: 5 of 133
  • Cancer Research 850
  • Molecular Biology 1.9k
  • Genetics 171
  • Plant Science 440
  • Genetics 286
Replace Diana Lee with:
Diana Lee United States
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Mitchell P. Levesque Switzerland
Saurabh Saha United States
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Syed Haider United Kingdom
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Edwin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edwin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edwin Wang Line = papers co-authored together Edwin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010241
2 2007231
3 2007228
4 2012208
5 2006207
6 2015120
7 2011115
8 2011110
9 2006107
10 2006101
11 201393
12 201368
13 200964
14 201159
15 200759
16 201358
17 201856
18 201255
19 201749
20
Rosai-Dorfman disease presenting with isolated bilateral orbital masses: report of two cases.
200149

About Edwin Wang

Edwin Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Plant Science and Surgery, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Cancer Genomics and Diagnostics (12 papers), Gene expression and cancer classification (11 papers), Plant Molecular Biology Research (8 papers), MicroRNA in disease regulation (8 papers), Epigenetics and DNA Methylation (7 papers), Gene Regulatory Network Analysis (7 papers) and Plant nutrient uptake and metabolism (6 papers). The work is most often cited by research in Cancer Research (850 citations), Molecular Biology (1.9k citations), Genetics (171 citations), Plant Science (440 citations) and Genetics (286 citations). Edwin Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Enrico O. Purisima, Qinghua Cui, Jinfeng Zou, Zhenbao Yu, Maureen D. O'Connor‐McCourt, Chabane Tibiche, Mark Trifiro, Naif Zaman, Shi‐Hsiang Shen and Daoquan Xiang. Their work appears in journals such as Seminars in Cancer Biology, Genomics Proteomics & Bioinformatics, Trends in Genetics, Nucleic Acids Research and Molecular BioSystems.

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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