Pengfei Diao

1.8k total citations · 1 hit paper
51 papers, 1.2k citations indexed

About

Pengfei Diao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Pengfei Diao has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Cancer Research. Recurrent topics in Pengfei Diao's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Pengfei Diao is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Pengfei Diao collaborates with scholars based in China, United States and Denmark. Pengfei Diao's co-authors include Jie Cheng, Yanling Wang, Rikke Rass Winkel, Mads Nielsen, Michiel Kallenberg, Martin Lillholm, Nico Karssemeijer, Celine M. Vachon, Kersten Petersen and Katharina Holland and has published in prestigious journals such as ACS Nano, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Pengfei Diao

46 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

2016 319 citations Pengfei Diao et al. profile →

Peers

Pengfei Diao

ONCOL

PRM

Jae Woo Choi South Korea

Dexin Chen China

G Brugal France

Tae Hyun Hwang United States

Hui Zeng China

Steven S.S. Poon Canada

Florian Battke Germany

Raymond W. M. Ng Hong Kong

Yongjun Piao China

Jae Woo Choi South Korea

Pengfei Diao

996 ×2.3

314 ×1.1

ONCOL

84 ×0.3

51 ×0.2

135 ×0.6

PRM

Citations per year, relative to Pengfei Diao Pengfei Diao (= 1×) peers Jae Woo Choi

Countries citing papers authored by Pengfei Diao

Since Specialization

Citations

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

Fields of papers citing papers by Pengfei Diao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Diao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Yaping, Pengfei Diao, Yuhan Yang, et al.. (2025). A Hybrid Manganese Nanoparticle Simultaneously Eliminates Cancer Stem Cells and Activates STING Pathway to Potentiate Cancer Immunotherapy. ACS Nano. 19(12). 12237–12252. 7 indexed citations

Diao, Pengfei, et al.. (2025). A Fully Integrated Ka-Band FMCW Radar SoC With Baseband Accelerator for Vital Signs Monitoring in 40-nm CMOS. IEEE Microwave and Wireless Technology Letters. 35(6). 884–887.

Li, Guoliang, et al.. (2025). Associations between cardiometabolic index with kidney stones: evidence from NHANES 2007-2018. Frontiers in Endocrinology. 16. 1485477–1485477. 1 indexed citations

Diao, Pengfei, et al.. (2024). Raw rubber network of acid-free natural rubber and its application with solution-polymerized styrene butadiene rubber in green tires. Polymer Testing. 140. 108605–108605. 3 indexed citations

Diao, Pengfei, et al.. (2024). Development of a novel prognostic signature derived from super-enhancer-associated gene by machine learning in head and neck squamous cell carcinoma. Oral Oncology. 159. 107016–107016.

Diao, Pengfei, et al.. (2024). Integrative Multiomics Analyses Identify Molecular Subtypes of Head and Neck Squamous Cell Carcinoma with Distinct Therapeutic Vulnerabilities. Cancer Research. 84(18). 3101–3117. 7 indexed citations

Wang, An, Na Xiao, Hong Wang, et al.. (2024). Development of a novel senescence‐related gene signature to predict clinical outcomes, immune landscape, and chemotherapeutic sensitivity in oral squamous cell carcinoma. Head & Neck. 46(5). 1112–1125. 3 indexed citations

Diao, Pengfei, et al.. (2024). Mechanism of the green coagulation processes on the construction of raw rubber network structure. Polymer Engineering and Science. 64(7). 3334–3347. 2 indexed citations

Chen, Qingjiang, et al.. (2023). Univariable and multivariable mendelian randomization study revealed the modifiable risk factors of urolithiasis. PLoS ONE. 18(8). e0290389–e0290389. 4 indexed citations

10.

Wang, Yanling, et al.. (2022). Comprehensive characterization of epidemiological and 3D radiographic features of non-third molar impacted teeth in a Chinese dental population. Clinical Oral Investigations. 26(8). 5143–5154. 4 indexed citations

11.

Wu, Xiang, Pengfei Diao, Yuchao Zhang, et al.. (2021). Identification of diagnostic and prognostic signatures derived from preoperative blood parameters for oral squamous cell carcinoma. Annals of Translational Medicine. 9(15). 1220–1220. 1 indexed citations

12.

Li, Jin, Zhongwu Li, Yaping Wu, et al.. (2019). Overexpression of lncRNA WWTR1‐AS1 associates with tumor aggressiveness and unfavorable survival in head‐neck squamous cell carcinoma. Journal of Cellular Biochemistry. 120(10). 18266–18277. 13 indexed citations

13.

Wu, Yaping, Yanling Wang, Pengfei Diao, et al.. (2019). Therapeutic Targeting of BRD4 in Head Neck Squamous Cell Carcinoma. Theranostics. 9(6). 1777–1793. 44 indexed citations

14.

Wu, Yaping, Pengfei Diao, Zhongwu Li, et al.. (2018). Overexpression of WD repeat domain 5 associates with aggressive clinicopathological features and unfavorable prognosis in head neck squamous cell carcinoma. Journal of Oral Pathology and Medicine. 47(5). 502–510. 16 indexed citations

15.

Wu, Yaping, Huijun Hu, Wei Zhang, et al.. (2018). SUZ12 is a novel putative oncogene promoting tumorigenesis in head and neck squamous cell carcinoma. Journal of Cellular and Molecular Medicine. 22(7). 3582–3594. 21 indexed citations

16.

Zhou, Chen, Jin Li, Yaping Wu, et al.. (2018). High Density of Intratumor CD45RO+ Memory Tumor-Infiltrating Lymphocytes Predicts Favorable Prognosis in Patients With Oral Squamous Cell Carcinoma. Journal of Oral and Maxillofacial Surgery. 77(3). 536–545. 16 indexed citations

17.

Zhou, Ping, Matthew A. Uhlman, Pengfei Diao, et al.. (2015). Plasma proteasomal chymotrypsin-like activity correlates with prostate cancer progression. Tumor Biology. 36(6). 4115–4121. 6 indexed citations

18.

Zhou, Ping, et al.. (2014). MLN2238 synergizes BH3 mimetic ABT-263 in castration-resistant prostate cancer cells by induction of NOXA. Tumor Biology. 35(10). 10213–10221. 9 indexed citations

19.

Tang, Ping, et al.. (2014). PSA density improves the rate of prostate cancer detection in Chinese men with a PSA between 2.5-10.0 ng ml ^-1 and 10.1-20.0 ng ml ^-1 : a multicenter study. Asian Journal of Andrology. 17(3). 503–503. 18 indexed citations

20.

Xu, Xun, et al.. (2014). Percent free prostate-specific antigen does not improve the effectiveness of prostate cancer detection in Chinese men with a prostate-specific antigen of 2.5–20.0 ng/ml: a multicenter study. Medical Oncology. 31(4). 925–925. 10 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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