Feng Wang

6.5k citations
131 papers · 4.8k · 1 hit paper · h-index 37

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 2%
    • Colorectal Cancer Screening and Detection

Papers in

    • Epigenetics and DNA Methylation 14
    • RNA modifications and cancer 12
    • Cancer-related gene regulation 8
    • Hedgehog Signaling Pathway Studies 6
    • Cancer-related Molecular Pathways 8

Feng Wang

129 papers receiving 4.7k citations

Hit Papers

Obesity and Risk of Colorectal Cancer: A Systematic Review of Prospective Studies 2013 · 461 citations
4610+4+8Years since publication100200300400

Peers

Feng Wang
Comparison fields: 5 of 153
  • Cancer Research 1.4k
  • Oncology 1.1k
  • Molecular Biology 2.6k
  • Geriatrics and Gerontology 76
  • Pathology and Forensic Medicine 309
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Feng Wang relative to Shuang Liu China Shuang Liu's profile →
Citations per field
00.5×1.5×2.2×
Shuang Liu · 1×
Citations per year

Countries citing papers authored by Feng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng 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 Feng Wang Line = papers co-authored together Feng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Obesity and Risk of Colorectal Cancer: A Systematic Review of Prospective Studies
Hit paper breakdown →
2013461
2 2015278
3 2006225
4 2014155
5 2012152
6 2015127
7 2013125
8 2018123
9 2012120
10 2012118
11 2015115
12 201593
13 201089
14 201179
15 201479
16 201278
17 201675
18 200373
19 201171
20 201769

About Feng Wang

Feng Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Immunology, having authored 131 papers that have together received 4.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), MicroRNA in disease regulation (13 papers), RNA modifications and cancer (12 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer-related molecular mechanisms research (12 papers), Cancer-related Molecular Pathways (8 papers), Cancer-related gene regulation (8 papers) and Hedgehog Signaling Pathway Studies (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (1.1k citations), Molecular Biology (2.6k citations), Geriatrics and Gerontology (76 citations) and Pathology and Forensic Medicine (309 citations). Feng Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanlei Ma, Yongzhi Yang, Chenzhang Shi, Yang Zou, Huanlong Qin, Huanlong Qin, Peng Zhang, Zhe Yang, Huizhen Zhang and Ming Lei. Their work appears in journals such as PLoS ONE, Gut, Oncology Reports, International Journal of Biological Sciences and Journal of Cellular and Molecular Medicine.

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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