Cong Wang

3.0k citations
110 papers · 2.2k · h-index 27

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 19
    • MicroRNA in disease regulation 19
    • Cancer, Lipids, and Metabolism 10
    • Cancer, Hypoxia, and Metabolism 9
    • RNA modifications and cancer 12
    • Circular RNAs in diseases 9

Cong Wang

103 papers receiving 2.2k citations

Peers

Cong Wang
Comparison fields: 5 of 115
  • Cancer Research 901
  • Molecular Biology 1.0k
  • Oncology 358
  • Pulmonary and Respiratory Medicine 303
  • Sensory Systems 29
Replace Weigang Fang with:
Weigang Fang China
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Vilma Maldonado Mexico
Leping Li China
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Cong Wang relative to Weigang Fang China Weigang Fang's profile →
Citations per field
00.5×4.8×
Weigang Fang · 1×
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 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 2018113
3 2018108
4 201983
5 201775
6 202071
7 200968
8 201363
9 201661
10 201653
11 201651
12 202147
13 201947
14 201846
15 201243
16 201841
17
Genome-wide target interactome profiling reveals a novel EEF1A1 epigenetic pathway for oncogenic lncRNA MALAT1 in breast cancer.
201941
18 201841
19 200839
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 110 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (19 papers), RNA modifications and cancer (12 papers), Ferroptosis and cancer prognosis (10 papers), Cancer, Lipids, and Metabolism (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Circular RNAs in diseases (9 papers) and Inflammatory Biomarkers in Disease Prognosis (6 papers). The work is most often cited by research in Cancer Research (901 citations), Molecular Biology (1.0k citations), Oncology (358 citations), Pulmonary and Respiratory Medicine (303 citations) and Sensory Systems (29 citations). Cong Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingguang Liu, Zhikui Liu, Bowen Yao, Qing Li, Liang Wang, Yufeng Wang, Kangsheng Tu, Meng Xu, Liankang Sun and Yufeng Cheng. Their work appears in journals such as Oncotarget, OncoTargets and Therapy, Frontiers in Genetics, Medicine and Journal of Medical Virology.

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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