Cong Wang

3.5k citations
100 papers · 2.4k · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Fibroblast Growth Factor Research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Kruppel-like factors research

Papers in

    • Fibroblast Growth Factor Research 25
    • Epigenetics and DNA Methylation 11
    • Kruppel-like factors research 9
    • RNA modifications and cancer 7
    • Cancer-related Molecular Pathways 7

Cong Wang

96 papers receiving 2.4k citations

Peers

Cong Wang
Comparison fields: 5 of 126
  • Cancer Research 472
  • Molecular Biology 1.4k
  • Oncology 483
  • Immunology 306
  • Cell Biology 178
Replace Seung‐Hyun Jung with:
Seung‐Hyun Jung South Korea
Yiming Zhao China
Amelia Casamassimi Italy
Liang Xu China
Yan Geng China
Shih Sheng Jiang Taiwan
Fei Gao China
Kiseok Jang South Korea
Nathalie Théret France
Cong Wang relative to Seung‐Hyun Jung South Korea Seung‐Hyun Jung's profile →
Citations per field
00.5×1.5×
Seung‐Hyun Jung · 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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018179
2 2014117
3 201395
4 201693
5 201888
6 201877
7 201669
8 201859
9 201356
10 202153
11 201853
12 201650
13 201542
14 201837
15 201237
16 201334
17 201734
18 201532
19 201932
20 201332

About Cong Wang

Cong Wang is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Cell Biology, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (25 papers), Esophageal Cancer Research and Treatment (11 papers), Epigenetics and DNA Methylation (11 papers), Kruppel-like factors research (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), RNA modifications and cancer (7 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Cancer Research (472 citations), Molecular Biology (1.4k citations), Oncology (483 citations), Immunology (306 citations) and Cell Biology (178 citations). Cong Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wallace L. McKeehan, Yufeng Cheng, Xiaokun Li, Junchen Liu, Yanqing Huang, Weide Zhong, Chaofeng Yang, Pan You, Fen Wang and Pengxiang Chen. Their work appears in journals such as Journal of Biological Chemistry, Tumor Biology, Oncotarget, OncoTargets and Therapy and International Immunopharmacology.

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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