Cong Wang

2.9k citations
106 papers · 2.3k · h-index 27

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Cells and Metastasis

Papers in

Cong Wang

101 papers receiving 2.3k citations

Peers

Cong Wang
Comparison fields: 5 of 99
  • Cancer Research 840
  • Oncology 365
  • Pulmonary and Respiratory Medicine 324
  • Hepatology 81
  • Molecular Biology 416
Replace Zhi‐Feng Miao with:
Zhi‐Feng Miao China
Chunyan Zhang China
Sharon Lim Sweden
Xiaowu Xu China
Wen‐Wen Zhang China
Chuize Kong China
Hongwei Zhang China
Tsuyoshi Noguchi Japan
Koichi Nakajima Japan
Yue Fan China
Cong Wang relative to Zhi‐Feng Miao China Zhi‐Feng Miao's profile →
Citations per field
00.5×1.6×
Zhi‐Feng Miao · 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 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017205
2 2018120
3 2018111
4 201987
5 202079
6 201778
7 200971
8 201366
9 201665
10 201657
11 201652
12 202149
13 201948
14 201847
15 201245
16 201841
17 201841
18
Genome-wide target interactome profiling reveals a novel EEF1A1 epigenetic pathway for oncogenic lncRNA MALAT1 in breast cancer.
201941
19 201740
20 201939

About Cong Wang

Cong Wang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Hepatology and Genetics, having authored 106 papers that have together received 2.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Cancer-related molecular mechanisms research (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Lung Cancer Research Studies (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Cancer Research (840 citations), Oncology (365 citations), Pulmonary and Respiratory Medicine (324 citations), Hepatology (81 citations) and Molecular Biology (416 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, Yufeng Wang, Kangsheng Tu, Meng Michelle Xu, Liankang Sun and Yufeng Cheng. Their work appears in journals such as OncoTargets and Therapy, Oncotarget, Frontiers in Genetics, Medicine and British Journal of Cancer.

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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