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 Learning PET/CT-Based Radiomics:... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Yan‐Ping Mao
Comparison fields: 5 of 142
  • Otorhinolaryngology 3.7k
  • Oncology 2.5k
  • Surgery 2.3k
  • Pulmonary and Respiratory Medicine 1.8k
  • Cancer Research 1.1k
Replace Ling‐Long Tang with:
Ling‐Long Tang China
Wai Tong Ng China
Eric J. Sherman United States
Kate Newbold United Kingdom
Bhadrasain Vikram United States
Stephen C.K. Law China
Lori J. Wirth United States
Edwin P. Hui Hong Kong
Joseph S. K. Au China
Mark Zafereo United States
Ling‐Long Tang China View profile →
Citations per field, relative to Yan‐Ping Mao
Yan‐Ping Mao · 1×
Citations per year, relative to Yan‐Ping Mao
Yan‐Ping Mao · 1×

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
# Work Indexed citations
1 1
2 4
3 6
4 5
5 15
6 41
7 3
8 4
9 12
10 14
11 32
12
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma breakdown →
241
13 9
14 16
15 15
16 139
17 103
18 28
19 29
20 26

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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