Hao Peng

743 total citations
31 papers, 537 citations indexed

About

Hao Peng is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Hao Peng has authored 31 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Hao Peng's work include Genetic factors in colorectal cancer (5 papers), Ferroptosis and cancer prognosis (3 papers) and Esophageal Cancer Research and Treatment (3 papers). Hao Peng is often cited by papers focused on Genetic factors in colorectal cancer (5 papers), Ferroptosis and cancer prognosis (3 papers) and Esophageal Cancer Research and Treatment (3 papers). Hao Peng collaborates with scholars based in China. Hao Peng's co-authors include Zheyuan Xu, Yewei Zhang, Libin Zhang, Jian Xiong, Yongwu Li, Ping Wang, Rui Guo, Jun Ma, Yan‐Ping Mao and Ying Sun and has published in prestigious journals such as Cancer Research, Scientific Reports and Materials Science and Engineering C.

In The Last Decade

Hao Peng

29 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Peng China 12 251 136 117 101 98 31 537
Petros Giovanis Italy 12 236 0.9× 147 1.1× 112 1.0× 98 1.0× 58 0.6× 28 534
Wenjiao Zeng China 13 106 0.4× 53 0.4× 228 1.9× 61 0.6× 94 1.0× 26 606
Michele Bartoletti Italy 14 273 1.1× 149 1.1× 135 1.2× 19 0.2× 111 1.1× 54 575
C. Lisanti Italy 9 312 1.2× 147 1.1× 321 2.7× 35 0.3× 185 1.9× 26 679
Yuan-Hua Wu Taiwan 13 210 0.8× 75 0.6× 156 1.3× 76 0.8× 68 0.7× 17 542
Eugênio Bucci Italy 10 237 0.9× 99 0.7× 162 1.4× 176 1.7× 94 1.0× 36 774
Alok Mishra India 7 116 0.5× 39 0.3× 306 2.6× 40 0.4× 164 1.7× 8 488
Haijun Lu China 11 92 0.4× 57 0.4× 216 1.8× 22 0.2× 126 1.3× 30 410
Tanuja Teni India 15 158 0.6× 67 0.5× 280 2.4× 61 0.6× 101 1.0× 31 517
Yan-Yan Lu China 15 284 1.1× 203 1.5× 258 2.2× 139 1.4× 93 0.9× 22 662

Countries citing papers authored by Hao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Peng. A scholar is included among the top collaborators of Hao Peng 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 Hao Peng. Hao Peng 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.
Peng, Hao, et al.. (2024). Large language models assisted multi-effect variants mining on cerebral cavernous malformation familial whole genome sequencing. Computational and Structural Biotechnology Journal. 23. 843–858. 2 indexed citations
2.
Lin, Ji, Wei Liu, Chengwei Yang, et al.. (2024). Early and mid-term outcomes of open thoracoabdominal aortic aneurysm repair after thoracic endovascular aortic repair. BMC Cardiovascular Disorders. 24(1). 182–182. 1 indexed citations
3.
Yang, Yantao, Libin Zhang, Han Wang, et al.. (2024). Development and validation of a risk prediction model for invasiveness of pure ground-glass nodules based on a systematic review and meta-analysis. BMC Medical Imaging. 24(1). 149–149. 3 indexed citations
4.
Meng, Meng, Ruonan Zhang, Hao Peng, et al.. (2024). Microbiome-producing SCFAs are associated with preterm birth via trophoblast function modulation. mBio. 15(12). e0270224–e0270224. 2 indexed citations
5.
Zhang, Xudong, et al.. (2023). Low expression of PINK1 and PARK2 predicts poor prognosis in patients with esophageal squamous cell carcinoma. World Journal of Surgical Oncology. 21(1). 321–321. 3 indexed citations
6.
Peng, Hao, et al.. (2022). Advances of cancer-associated fibroblasts in liver cancer. Biomarker Research. 10(1). 59–59. 52 indexed citations
7.
Xu, Zheyuan, Yang Wang, Lan Wang, et al.. (2021). Characteristics of BRCA1/2 pathogenic germline mutations in chinese NSCLC patients and a comparison with HBOC. Hereditary Cancer in Clinical Practice. 19(1). 16–16. 2 indexed citations
8.
Peng, Hao, Rong Huang, Kui Wang, et al.. (2020). Development and Validation of an RNA Sequencing Assay for Gene Fusion Detection in Formalin-Fixed, Paraffin-Embedded Tumors. Journal of Molecular Diagnostics. 23(2). 223–233. 8 indexed citations
9.
Qian, Kai, Jiaxin Xu, Yi Deng, et al.. (2020). Signaling pathways of genetic variants and miRNAs in the pathogenesis of myasthenia gravis. Gland Surgery. 9(6). 1933–1944. 8 indexed citations
10.
Peng, Hao, Rong Xue, Jiannan Qiu, et al.. (2020). Cancer-associated fibroblasts enhance the chemoresistance of CD73+ hepatocellular carcinoma cancer cells via HGF-Met-ERK1/2 pathway. Annals of Translational Medicine. 8(14). 856–856. 40 indexed citations
11.
Peng, Hao, et al.. (2019). Prognostic significance of elevated pretreatment systemic inflammatory markers for patients with prostate cancer: a meta-analysis. Cancer Cell International. 19(1). 70–70. 39 indexed citations
12.
Wu, Xiao, Rong Xue, Hao Peng, et al.. (2019). Traf6 inhibitor boosts antitumor immunity by impeding regulatory T cell migration in Hepa1-6 tumor model. International Immunopharmacology. 77. 105965–105965. 11 indexed citations
13.
You, Wei, et al.. (2018). A Network Meta-analysis Comparing the Efficacy and Safety of Anti-PD-1 with Anti-PD-L1 in Non-small Cell Lung Cancer. Journal of Cancer. 9(7). 1200–1206. 32 indexed citations
14.
Cui, Xiaobin, et al.. (2017). Comprehensive bioinformatics analysis of the mRNA profile of PLCE1 knockdown in esophageal squamous cell carcinoma. Molecular Medicine Reports. 16(5). 5871–5880. 5 indexed citations
15.
Peng, Hao, Rui Guo, Lei Chen, et al.. (2016). Prognostic Impact of Plasma Epstein-Barr Virus DNA in Patients with Nasopharyngeal Carcinoma Treated using Intensity-Modulated Radiation Therapy. Scientific Reports. 6(1). 22000–22000. 58 indexed citations
16.
Peng, Hao, Lei Chen, Yuan Zhang, et al.. (2016). Survival analysis of patients with advanced-stage nasopharyngeal carcinoma according to the Epstein-Barr virus status. Oncotarget. 7(17). 24208–24216. 36 indexed citations
17.
Zhang, Yuan, Wen-Fei Li, Yan‐Ping Mao, et al.. (2016). Risk stratification based on change in plasma Epstein-Barr virus DNA load after treatment in nasopharyngeal carcinoma. Oncotarget. 7(8). 9576–9585. 16 indexed citations
18.
Bu, Liang, et al.. (2015). Dividing inferior pulmonary ligament may change the bronchial angle. Journal of Surgical Research. 201(1). 208–212. 11 indexed citations
19.
Cui, Xiaobin, Hao Peng, Li Su, et al.. (2014). Prognostic Value of PLCE1 Expression in Upper Gastrointestinal Cancer: a Systematic Review and Meta-analysis. Asian Pacific Journal of Cancer Prevention. 15(22). 9661–9666. 16 indexed citations
20.
Wang, Ping, Libin Zhang, Hao Peng, et al.. (2013). The formulation and delivery of curcumin with solid lipid nanoparticles for the treatment of on non-small cell lung cancer both in vitro and in vivo. Materials Science and Engineering C. 33(8). 4802–4808. 98 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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