Ping‐Ching Pai

37 papers receiving 729 citations

Peers

Ping‐Ching Pai
Comparison fields: 5 of 69
  • Otorhinolaryngology 126
  • Genetics 113
  • Endocrinology, Diabetes and Metabolism 136
  • Oncology 117
  • Pulmonary and Respiratory Medicine 118
Replace Kim O. Learned with:
Kim O. Learned United States
Zvonimir Luka Milas United States
Andrew R. Larson United States
Gi-Cheol Park South Korea
Morimasa Kitamura Japan
Myung Jin Ban South Korea
Stephanie Schipmann Germany
Fumihiko Uchida Japan
Guido Molea Italy
Thomas Feyerabend Germany
Ping‐Ching Pai relative to Kim O. Learned United States Kim O. Learned's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ping‐Ching Pai

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Ching Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping‐Ching Pai, 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‐Ching Pai Line = papers co-authored together Ping‐Ching Pai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015113
2 201277
3 200268
4 202351
5 200650
6 201842
7 200434
8 201729
9 200628
10 202326
11 200824
12 200621
13 198120
14 201018
15 200317
16 201516
17 201116
18 201812
19 202012
20 201212

About Ping‐Ching Pai

Ping‐Ching Pai is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Otorhinolaryngology, Oncology and Neurology, having authored 40 papers that have together received 759 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Meningioma and schwannoma management (5 papers), Brain Metastases and Treatment (5 papers), 3D Printing in Biomedical Research (4 papers), Viral-associated cancers and disorders (4 papers), Head and Neck Cancer Studies (3 papers) and Head and Neck Surgical Oncology (3 papers). The work is most often cited by research in Otorhinolaryngology (126 citations), Genetics (113 citations), Endocrinology, Diabetes and Metabolism (136 citations), Oncology (117 citations) and Pulmonary and Respiratory Medicine (118 citations). Ping‐Ching Pai has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Chi‐Cheng Chuang, Chen‐Kan Tseng, Kuo‐Chen Wei, Ngan‐Ming Tsang, Chen-Nen Chang, Kai‐Ping Chang, Shinn‐Yn Lin, Yao-Liang Chen, Kin Fong Lei and Chi-Cheng Yang. Their work appears in journals such as Journal of Neuro-Oncology, Scientific Reports, Head & Neck, Cancer Medicine and International Journal of Radiation Oncology*Biology*Physics.

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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