Cong Wang

3.0k citations
109 papers · 2.1k indexed · h-index 26

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Cancer-related molecular mechanisms research 24
    • MicroRNA in disease regulation 22
    • Cancer, Lipids, and Metabolism 15
    • Cancer, Hypoxia, and Metabolism 14
    • RNA modifications and cancer 16
    • Circular RNAs in diseases 13

Cong Wang

101 papers receiving 2.1k citations

Peers

Cong Wang
Comparison fields: 5 of 122
  • Cancer Research 1.1k
  • Molecular Biology 1.2k
  • Oncology 443
  • Pulmonary and Respiratory Medicine 374
  • Otorhinolaryngology 33
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Qiao Li China
István Kenessey Hungary
Ken Op de Beeck Belgium
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Cong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 2018111
3 2018108
4 201983
5 201772
6 202070
7 200968
8 201362
9 201661
10 201652
11 201650
12 201945
13 202145
14 201844
15 201242
16
Genome-wide target interactome profiling reveals a novel EEF1A1 epigenetic pathway for oncogenic lncRNA MALAT1 in breast cancer.
201941
17 201840
18 200839
19 201839
20 201738

About Cong Wang

Cong Wang is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (22 papers), RNA modifications and cancer (16 papers), Cancer, Lipids, and Metabolism (15 papers), Ferroptosis and cancer prognosis (15 papers), Cancer, Hypoxia, and Metabolism (14 papers), Circular RNAs in diseases (13 papers) and Lung Cancer Treatments and Mutations (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.2k citations), Oncology (443 citations), Pulmonary and Respiratory Medicine (374 citations) and Otorhinolaryngology (33 citations). Cong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingguang Liu, Zhikui Liu, Bowen Yao, Qing Li, Liang Wang, Kangsheng Tu, Yufeng Wang, Meng Xu, Yufeng Cheng and Liankang Sun. Their work appears in journals such as OncoTargets and Therapy, Oncotarget, Medicine, Frontiers in Genetics and Biomedicine & Pharmacotherapy.

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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