Chao Cheng

15.9k total citations · 1 hit paper
234 papers, 7.4k citations indexed

About

Chao Cheng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chao Cheng has authored 234 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Molecular Biology, 63 papers in Oncology and 58 papers in Cancer Research. Recurrent topics in Chao Cheng's work include Genomics and Chromatin Dynamics (33 papers), Cancer Immunotherapy and Biomarkers (28 papers) and Bioinformatics and Genomic Networks (27 papers). Chao Cheng is often cited by papers focused on Genomics and Chromatin Dynamics (33 papers), Cancer Immunotherapy and Biomarkers (28 papers) and Bioinformatics and Genomic Networks (27 papers). Chao Cheng collaborates with scholars based in United States, China and United Kingdom. Chao Cheng's co-authors include Mark Gerstein, Frederick S. Varn, Matthew Ung, Valter D. Longo, Paola Fabrizio, Min Wei, Lei M. Li, Lanjing Zhang, Evelien Schaafsma and Kevin Y. Yip and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Chao Cheng

223 papers receiving 7.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-throughput proteomics: a methodological mini-review

2022 176 citations Chao Cheng et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chao Cheng	4.7k	1.7k	1.3k	1.0k	554	234	7.4k
Anton Buzdin	3.3k 0.7×	953 0.6×	776 0.6×	789 0.8×	640 1.2×	195	5.3k
Tsutomu Ohta	6.6k 1.4×	1.0k 0.6×	938 0.7×	502 0.5×	569 1.0×	98	8.3k
Cheolju Lee	4.0k 0.9×	978 0.6×	991 0.8×	617 0.6×	290 0.5×	160	5.9k
Li Lan	6.1k 1.3×	1.1k 0.7×	2.1k 1.7×	891 0.9×	355 0.6×	156	8.2k
Masao Saitoh	8.4k 1.8×	1.6k 1.0×	2.1k 1.7×	1.4k 1.3×	542 1.0×	115	11.1k
Haojie Huang	7.2k 1.6×	2.5k 1.5×	2.1k 1.7×	743 0.7×	2.4k 4.4×	200	10.6k
Björn Schumacher	4.1k 0.9×	816 0.5×	953 0.7×	439 0.4×	293 0.5×	129	6.7k
Stefan Wiemann	5.8k 1.2×	2.1k 1.2×	1.2k 1.0×	778 0.8×	810 1.5×	186	8.8k
Kevin Fitzgerald	7.2k 1.5×	1.1k 0.6×	507 0.4×	1.3k 1.2×	334 0.6×	83	10.6k

Countries citing papers authored by Chao Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Chao Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Cheng. A scholar is included among the top collaborators of Chao Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao Cheng. Chao Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Xiang, et al.. (2025). Unravelling the distinct effects of VHL mutations and chromosome 3p loss in clear cell renal cell carcinoma: Implications for prognosis and treatment. Clinical and Translational Medicine. 15(10). e70465–e70465.

Zhang, Baoyi, Chenyang Li, Jia Wu, Jianjun Zhang, & Chao Cheng. (2024). DeepCG: A cell graph model for predicting prognosis in lung adenocarcinoma. International Journal of Cancer. 154(12). 2151–2161. 1 indexed citations

Vijayaraghavan, Maya, James H. Satterfield, Brant Clark, et al.. (2024). State Leadership Academies to reduce cigarette smoking among people with behavioral health conditions in the United States. Preventive Medicine Reports. 47. 102896–102896.

Yang, Duomeng, Tingting Geng, Andrew G. Harrison, et al.. (2024). UBR5 promotes antiviral immunity by disengaging the transcriptional brake on RIG-I like receptors. Nature Communications. 15(1). 780–780. 7 indexed citations

Cheng, Chao, Ze Zhang, Jiawei Wang, et al.. (2024). CircPGM5 regulates Foxo3a phosphorylation via MiR-21-5p/MAPK10 axis to inhibit bladder cancer progression. Cellular Signalling. 121. 111297–111297. 2 indexed citations

Cheng, Chao, Xinan Wang, Chongming Jiang, et al.. (2023). Immune Infiltration in Tumor and Adjacent Non-Neoplastic Regions Codetermines Patient Clinical Outcomes in Early-Stage Lung Cancer. Journal of Thoracic Oncology. 18(9). 1184–1198. 14 indexed citations

Wei, Hong, Ang Li, Yanhong Liu, et al.. (2021). Clonal Hematopoiesis Mutations in Patients with Lung Cancer Are Associated with Lung Cancer Risk Factors. Cancer Research. 82(2). 199–209. 15 indexed citations

He, Xiaoyan, Chao Qin, Yanding Zhao, et al.. (2020). Gene signatures associated with genomic aberrations predict prognosis in neuroblastoma. Cancer Communications. 40(2-3). 105–118. 11 indexed citations

Shee, Kevin, Matthew Ung, Nicole A. Traphagen, et al.. (2019). A Transcriptionally Definable Subgroup of Triple-Negative Breast and Ovarian Cancer Samples Shows Sensitivity to HSP90 Inhibition. Clinical Cancer Research. 26(1). 159–170. 1 indexed citations

10.

Deng, Jie, Jiannan Li, Aurélien Sarde, et al.. (2019). Hypoxia-Induced VISTA Promotes the Suppressive Function of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment. Cancer Immunology Research. 7(7). 1079–1090. 164 indexed citations

11.

Wang, Yue, Jennifer M. Franks, Michael L. Whitfield, & Chao Cheng. (2019). BioMethyl: an R package for biological interpretation of DNA methylation data. Bioinformatics. 35(19). 3635–3641. 14 indexed citations

12.

Varn, Frederick S., Evelien Schaafsma, Yue Wang, & Chao Cheng. (2018). Genomic Characterization of Six Virus-Associated Cancers Identifies Changes in the Tumor Immune Microenvironment and Altered Genetic Programs. Cancer Research. 78(22). 6413–6423. 34 indexed citations

13.

Zhao, Yanding, Evelien Schaafsma, Eva Hernando, et al.. (2018). A Leukocyte Infiltration Score Defined by a Gene Signature Predicts Melanoma Patient Prognosis. Molecular Cancer Research. 17(1). 109–119. 22 indexed citations

14.

Varn, Frederick S., Yue Wang, David W. Mullins, Steven Fiering, & Chao Cheng. (2017). Systematic Pan-Cancer Analysis Reveals Immune Cell Interactions in the Tumor Microenvironment. Cancer Research. 77(6). 1271–1282. 116 indexed citations

15.

Ran, Cong, Matthew C. Havrda, Huan Liu, et al.. (2017). Insulin-Mediated Signaling Facilitates Resistance to PDGFR Inhibition in Proneural hPDGFB-Driven Gliomas. Molecular Cancer Therapeutics. 16(4). 705–716. 19 indexed citations

16.

Rahme, Gilbert J., Zhonghua Zhang, Alison L. Young, et al.. (2016). PDGF Engages an E2F-USP1 Signaling Pathway to Support ID2-Mediated Survival of Proneural Glioma Cells. Cancer Research. 76(10). 2964–2976. 30 indexed citations

17.

Cheng, Chao, Shaoke Lou, Erik Andrews, Matthew Ung, & Frederick S. Varn. (2016). Integrative Genomic Analyses Yield Cell-Cycle Regulatory Programs with Prognostic Value. Molecular Cancer Research. 14(4). 332–343. 5 indexed citations

18.

Posternak, Valeriya, Matthew Ung, Chao Cheng, & Michael D. Cole. (2016). MYC Mediates mRNA Cap Methylation of Canonical Wnt/β-Catenin Signaling Transcripts By Recruiting CDK7 and RNA Methyltransferase. Molecular Cancer Research. 15(2). 213–224. 28 indexed citations

19.

Cherukuri, Pratima, et al.. (2015). p53 and ΔNp63α Coregulate the Transcriptional and Cellular Response to TGFβ and BMP Signals. Molecular Cancer Research. 13(4). 732–742. 18 indexed citations

20.

Cheng, Chao, Frederick S. Varn, & Carmen J. Marsit. (2015). E2F4 Program Is Predictive of Progression and Intravesical Immunotherapy Efficacy in Bladder Cancer. Molecular Cancer Research. 13(9). 1316–1324. 17 indexed citations

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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