Yan‐Ping Mao

11.4k total citations · 1 hit paper
203 papers, 6.4k citations indexed

About

Yan‐Ping Mao is a scholar working on Otorhinolaryngology, Surgery and Oncology. According to data from OpenAlex, Yan‐Ping Mao has authored 203 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Otorhinolaryngology, 86 papers in Surgery and 81 papers in Oncology. Recurrent topics in Yan‐Ping Mao's work include Head and Neck Cancer Studies (135 papers), Head and Neck Surgical Oncology (51 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (25 papers). Yan‐Ping Mao is often cited by papers focused on Head and Neck Cancer Studies (135 papers), Head and Neck Surgical Oncology (51 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (25 papers). Yan‐Ping Mao collaborates with scholars based in China, United States and Canada. Yan‐Ping Mao's co-authors include Jun Ma, Ying Sun, Ling‐Long Tang, Lei Chen, Ai-Hua Lin, Rui Guo, Aihua Lin, Guan‐Qun Zhou, Lizhi Liu and Li-Zhi Liu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Yan‐Ping Mao

200 papers receiving 6.3k citations

Hit Papers

Prognostic Value of Deep ... 2019 2026 2021 2023 2019 50 100 150 200
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.

  1. Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma
    2019 241 citations Hao Peng, Di Dong et al. Clinical Cancer Research profile →

Author Peers

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

Author Last Decade Papers Cites
Yan‐Ping Mao 3.7k 2.5k 2.3k 1.8k 1.1k 203 6.4k
Ling‐Long Tang 3.6k 1.0× 2.7k 1.1× 2.2k 1.0× 1.8k 1.0× 1.0k 1.0× 181 6.5k
Wai Tong Ng 3.7k 1.0× 2.6k 1.0× 2.4k 1.0× 2.0k 1.1× 1.0k 0.9× 154 6.3k
Eric J. Sherman 2.9k 0.8× 3.3k 1.3× 2.7k 1.1× 2.4k 1.3× 608 0.6× 269 8.6k
Kate Newbold 1.9k 0.5× 2.2k 0.9× 2.4k 1.0× 2.1k 1.2× 543 0.5× 143 9.3k
Bhadrasain Vikram 2.0k 0.5× 2.2k 0.9× 2.3k 1.0× 1.6k 0.9× 477 0.4× 148 5.9k
Stephen C.K. Law 2.1k 0.6× 1.6k 0.6× 2.4k 1.0× 1.1k 0.7× 378 0.3× 63 4.8k
Lori J. Wirth 1.4k 0.4× 4.3k 1.7× 1.8k 0.8× 2.4k 1.3× 961 0.9× 260 9.9k
Edwin P. Hui 3.2k 0.9× 4.0k 1.6× 2.1k 0.9× 1.8k 1.0× 2.2k 2.0× 170 8.9k
Joseph S. K. Au 1.3k 0.3× 2.8k 1.1× 1.1k 0.5× 2.7k 1.6× 1.0k 0.9× 58 5.2k
Mark Zafereo 1.2k 0.3× 1.6k 0.7× 1.8k 0.8× 942 0.5× 330 0.3× 192 4.9k

Countries citing papers authored by Yan‐Ping Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Ping Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Ping Mao. 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 Yan‐Ping Mao. The network helps show where Yan‐Ping Mao may publish in the future.

Co-authorship network of co-authors of Yan‐Ping Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Ping Mao. A scholar is included among the top collaborators of Yan‐Ping Mao 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 Yan‐Ping Mao. Yan‐Ping Mao 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.
Ding, Cong, et al.. (2024). Structural insights into non-hotspot KRAS mutations and their potential as targets for effective cancer therapies. Journal of Biomolecular Structure and Dynamics. 43(15). 8308–8318. 1 indexed citations
2.
Wang, Shunxin, Yi Yang, Haojiang Li, et al.. (2024). Radiomics-based nomogram guides adaptive de-intensification in locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy. European Radiology. 34(10). 6831–6842. 4 indexed citations
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Li, Xiaomin, Xiaomin Zhang, Junyan Li, et al.. (2022). The immune modulation effects of gemcitabine plus cisplatin induction chemotherapy in nasopharyngeal carcinoma. Cancer Medicine. 11(18). 3437–3444. 8 indexed citations
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Chen, Yue, Tianqi Luo, Si‐Si Xu, et al.. (2021). An immune‐related seven‐lncRNA signature for head and neck squamous cell carcinoma. Cancer Medicine. 10(7). 2268–2285. 15 indexed citations
8.
Mao, Yan‐Ping, Shunxin Wang, William M. Lydiatt, et al.. (2021). Unambiguous advanced radiologic extranodal extension determined by MRI predicts worse outcomes in nasopharyngeal carcinoma: Potential improvement for future editions of N category systems. Radiotherapy and Oncology. 157. 114–121. 41 indexed citations
9.
Luo, Wei‐Jie, Shiwei He, Yin Zhao, et al.. (2021). Epstein-Barr virus microRNA BART10-3p promotes dedifferentiation and proliferation of nasopharyngeal carcinoma by targeting ALK7. Experimental Biology and Medicine. 246(24). 2618–2629. 8 indexed citations
10.
Xu, Cheng, Shu Zhang, Yuan Zhang, et al.. (2021). Evolving landscape and academic attitudes toward the controversies of global immuno‐oncology trials. International Journal of Cancer. 149(1). 108–118. 3 indexed citations
11.
Xu, Cheng, Ling‐Long Tang, Wen-Fei Li, et al.. (2020). Induction versus adjuvant chemotherapy combined with concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma: A propensity score-matched analysis. Oral Oncology. 105. 104686–104686. 14 indexed citations
12.
Wang, Yaqin, Lei Chen, Yan‐Ping Mao, et al.. (2020). Prognostic value of immune score in nasopharyngeal carcinoma using digital pathology. Journal for ImmunoTherapy of Cancer. 8(2). e000334–e000334. 32 indexed citations
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Yang, Xing‐Li, Guan‐Qun Zhou, Li Lin, et al.. (2020). Prognostic value of radiation interruption in different periods for nasopharyngeal carcinoma patients in the intensity‐modulated radiation therapy era. Cancer Medicine. 10(1). 143–155. 4 indexed citations
15.
Peng, Hao, Di Dong, Lu Li, et al.. (2019). Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma. Clinical Cancer Research. 25(14). 4271–4279. 241 indexed citations breakdown →
16.
Wang, Yaqin, Jia-Wei Lv, Ling‐Long Tang, et al.. (2019). Effect of prior cancer on trial eligibility and treatment outcomes in nasopharyngeal carcinoma: Implications for clinical trial accrual. Oral Oncology. 90. 23–29. 9 indexed citations
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Peng, Liang, Cheng Xu, Yu‐Pei Chen, et al.. (2018). Optimizing the cumulative cisplatin dose during radiotherapy in nasopharyngeal carcinoma: Dose-effect analysis for a large cohort. Oral Oncology. 89. 102–106. 15 indexed citations
19.
Liu, Na, Ning Jiang, Rui Guo, et al.. (2013). MiR-451 inhibits cell growth and invasion by targeting MIF and is associated with survival in nasopharyngeal carcinoma. Molecular Cancer. 12(1). 123–123. 103 indexed citations
20.
OuYang, Pu‐Yun, Zhen Su, Yan‐Ping Mao, et al.. (2013). Prognostic Impact of Cigarette Smoking on the Survival of Patients with Established Nasopharyngeal Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 22(12). 2285–2294. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ling‐Long Tang Breakdown of academic impact, for papers by Wai Tong Ng Breakdown of academic impact, for papers by Eric J. Sherman Breakdown of academic impact, for papers by Kate Newbold Breakdown of academic impact, for papers by Bhadrasain Vikram Breakdown of academic impact, for papers by Stephen C.K. Law Breakdown of academic impact, for papers by Lori J. Wirth Breakdown of academic impact, for papers by Edwin P. Hui Breakdown of academic impact, for papers by Joseph S. K. Au Breakdown of academic impact, for papers by Mark Zafereo
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