Ping Ai

1.8k citations
41 papers · 274 · h-index 11

Impact in

Papers in

    • Head and Neck Cancer Studies 8
    • Cancer Immunotherapy and Biomarkers 2
    • Peptidase Inhibition and Analysis 2

Ping Ai

33 papers receiving 270 citations

Peers

Ping Ai
Comparison fields: 5 of 60
  • Otorhinolaryngology 63
  • Genetics 27
  • Cancer Research 33
  • Oncology 55
  • Nephrology 9
Replace Shinji Mikami with:
Shinji Mikami Japan
Tanja K. Eggersmann Germany
Barbara L. Pruetz United States
Ching-Shan Luo Taiwan
Yunjian Huang China
Trevor Feinstein United States
Netanya Pollock United States
Hsiang‐Fong Kao Taiwan
Grégoire Marret France
Szu-Yun Leu United States
Ping Ai relative to Shinji Mikami Japan Shinji Mikami's profile →
Citations per field
00.5×4.5×
Shinji Mikami · 1×
Citations per year

Countries citing papers authored by Ping Ai

Since Specialization
Citations

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

Fields of papers citing papers by Ping Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Ai Line = papers co-authored together Ping Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201628
2 201924
3 201920
4 201218
5 202016
6 202015
7 202113
8 201912
9 201412
10 202210
11 202010
12 20229
13 20179
14 20139
15 20118
16 20167
17 20176
18 20156
19
[sCD40L, sP-selectin and sICAM-1 plasma levels in nasopharyngeal carcinoma].
20095
20 20245

About Ping Ai

Ping Ai is a scholar working on Otorhinolaryngology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 41 papers that have together received 274 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (8 papers), Glioma Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Peptidase Inhibition and Analysis (2 papers), Brain Metastases and Treatment (2 papers), Cancer Research and Treatments (2 papers) and Ophthalmology and Visual Impairment Studies (1 paper). The work is most often cited by research in Otorhinolaryngology (63 citations), Genetics (27 citations), Cancer Research (33 citations), Oncology (55 citations) and Nephrology (9 citations). Ping Ai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xingchen Peng, Qiheng Gou, Jinlan He, Nianyong Chen, Yan Li, Zhiping Li, Shi H, Huaizhong Hu, Janette L. Vardy and Hong Zhang. Their work appears in journals such as Frontiers in Oncology, Oral Oncology, Oncotarget, Head & Neck and Molecular Carcinogenesis.

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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