Dapeng Hao

4.6k total citations
71 papers, 1.9k citations indexed

About

Dapeng Hao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dapeng Hao has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Dapeng Hao's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers) and Bioinformatics and Genomic Networks (8 papers). Dapeng Hao is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers) and Bioinformatics and Genomic Networks (8 papers). Dapeng Hao collaborates with scholars based in China, United States and Macao. Dapeng Hao's co-authors include Meng Zhou, Jie Sun, Zhenzhen Wang, Hongbo Shi, Lijun Di, Zheng‐Xiang Li, Guangyu Wang, Chuanxing Li, Tianzhen Wang and Jingjing Li and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Environmental Science & Technology.

In The Last Decade

Dapeng Hao

65 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dapeng Hao China 21 1.1k 846 297 233 158 71 1.9k
Tao Zhu China 26 1.0k 0.9× 426 0.5× 410 1.4× 282 1.2× 230 1.5× 74 2.1k
Juha Klefström Finland 23 1.3k 1.2× 423 0.5× 756 2.5× 218 0.9× 92 0.6× 55 2.1k
Mehdi Mesri United States 23 2.0k 1.8× 414 0.5× 611 2.1× 667 2.9× 229 1.4× 32 2.9k
Michael Rugaard Jensen Switzerland 28 2.4k 2.1× 376 0.4× 697 2.3× 204 0.9× 186 1.2× 53 3.3k
Jiawang Wang China 12 1.0k 0.9× 749 0.9× 115 0.4× 158 0.7× 61 0.4× 54 1.4k
Xiaofei Chang United States 27 1.4k 1.2× 467 0.6× 508 1.7× 226 1.0× 345 2.2× 64 2.2k
Xiaoyi Zhou China 20 1.3k 1.2× 1.2k 1.4× 337 1.1× 282 1.2× 149 0.9× 39 2.0k
Prashant Kumar India 18 616 0.5× 292 0.3× 428 1.4× 110 0.5× 108 0.7× 86 1.1k
Akira Yasuda Japan 22 589 0.5× 269 0.3× 615 2.1× 264 1.1× 136 0.9× 109 1.6k
Geng Li China 20 563 0.5× 190 0.2× 346 1.2× 269 1.2× 141 0.9× 62 1.5k

Countries citing papers authored by Dapeng Hao

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Hao. A scholar is included among the top collaborators of Dapeng Hao 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 Dapeng Hao. Dapeng Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Shujuan, Zhijun Hou, Shaobo Liu, et al.. (2025). Novel insights into inherited protein C deficiency from an interactive PROC variant database. Journal of Thrombosis and Haemostasis. 23(11). 3601–3614.
2.
Hao, Dapeng, Guangyuan He, Risheng Bai, et al.. (2025). Ethanol-assisted synthesis of titanium-rich TS-1 zeolite: a new hexa-coordinated Ti site for efficient propylene epoxidation. Chemical Science. 16(11). 4661–4667. 4 indexed citations
3.
4.
Fan, Wei, Dapeng Hao, Yufeng Zhang, et al.. (2024). Formation mechanism of defects in Invar 36/MnCu functionally graded material fabricated by directed energy deposition. Journal of Material Science and Technology. 218. 95–107. 3 indexed citations
5.
Xu, Chang, Mingjie Zhang, Cheng Lyu, et al.. (2024). Integrated single-cell transcriptome and TCR profiles of hepatocellular carcinoma highlight the convergence on interferon signaling during immunotherapy. Journal for ImmunoTherapy of Cancer. 12(11). e010534–e010534. 2 indexed citations
6.
Liu, Shunli, et al.. (2024). An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric Cancer. Academic Radiology. 32(1). 134–145. 3 indexed citations
7.
Wang, Bofei, Tianhao Li, Naval Daver, et al.. (2024). Paired single-B-cell transcriptomics and receptor sequencing reveal activation states and clonal signatures that characterize B cells in acute myeloid leukemia. Journal for ImmunoTherapy of Cancer. 12(2). e008318–e008318. 5 indexed citations
8.
Fan, Huihui, Feng Wang, Andy G.X. Zeng, et al.. (2023). Single-cell chromatin accessibility profiling of acute myeloid leukemia reveals heterogeneous lineage composition upon therapy-resistance. Communications Biology. 6(1). 765–765. 11 indexed citations
9.
Gu, Tianpeng, Dapeng Hao, Junsung Woo, et al.. (2022). The disordered N-terminal domain of DNMT3A recognizes H2AK119ub and is required for postnatal development. Nature Genetics. 54(5). 625–636. 37 indexed citations
10.
Hao, Dapeng, Guangyu Wang, Weiwei Yang, et al.. (2019). Reactive versus Constitutive: Reconcile the Controversial Results about the Prognostic Value of PD-L1 Expression in cancer. International Journal of Biological Sciences. 15(9). 1933–1941. 2 indexed citations
11.
Hao, Dapeng, Jie Liu, Meng Chen, et al.. (2018). Immunogenomic Analyses of Advanced Serous Ovarian Cancer Reveal Immune Score is a Strong Prognostic Factor and an Indicator of Chemosensitivity. Clinical Cancer Research. 24(15). 3560–3571. 58 indexed citations
12.
Yang, Lei, Shiyuan Wang, Qi Zhang, et al.. (2018). Clinical significance of the immune microenvironment in ovarian cancer patients. Molecular Omics. 14(5). 341–351. 70 indexed citations
13.
Hao, Dapeng, Jingjing Li, Shanshan Jia, et al.. (2017). Integrated Analysis Reveals Tubal- and Ovarian-Originated Serous Ovarian Cancer and Predicts Differential Therapeutic Responses. Clinical Cancer Research. 23(23). 7400–7411. 43 indexed citations
14.
Yang, Lei, Dapeng Hao, Xudong Xing, et al.. (2015). Characterization of proteins in S. cerevisiae with subcellular localizations. Molecular BioSystems. 11(5). 1360–1369. 2 indexed citations
15.
Zhou, Meng, Jiahui Zhang, Dapeng Hao, et al.. (2014). A computational frame and resource for understanding the lncRNA-environmental factor associations and prediction of environmental factors implicated in diseases. Molecular BioSystems. 10(12). 3264–3271. 8 indexed citations
16.
Jin, Nana, Nannan Liu, Yan Huang, et al.. (2014). Global gene expression distribution in non-cancerous complex diseases. Molecular BioSystems. 10(4). 728–731. 5 indexed citations
17.
Sun, Jie, Hongbo Shi, Zhenzhen Wang, et al.. (2014). Inferring novel lncRNA–disease associations based on a random walk model of a lncRNA functional similarity network. Molecular BioSystems. 10(8). 2074–2081. 243 indexed citations
18.
Zhou, Meng, Xiaojun Wang, Dapeng Hao, et al.. (2014). Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network. Molecular BioSystems. 11(3). 760–769. 162 indexed citations
19.
Wu, Deng, Juanjuan Kang, Yan Huang, et al.. (2014). Deciphering global signal features of high-throughput array data from cancers. Molecular BioSystems. 10(6). 1549–1556. 7 indexed citations
20.
Yang, Lei, Yingli Lv, Dapeng Hao, et al.. (2014). Characterization of TATA-containing genes and TATA-less genes in S. cerevisiae by network topologies and biological properties. Genomics. 104(6). 562–571. 5 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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