Ping‐Ching Pai

1.0k citations
40 papers · 698 · h-index 16

Impact in

Papers in

    • Viral-associated cancers and disorders 4
    • Cancer Cells and Metastasis 3
    • Glioma Diagnosis and Treatment 7

Ping‐Ching Pai

38 papers receiving 681 citations

Peers

Ping‐Ching Pai
Comparison fields: 5 of 69
  • Otorhinolaryngology 115
  • Genetics 97
  • Endocrinology, Diabetes and Metabolism 126
  • Oncology 109
  • Pulmonary and Respiratory Medicine 104
Replace Kim O. Learned with:
Kim O. Learned United States
Zvonimir L. Milas United States
Andrew Larson United States
Gi Cheol Park South Korea
Myung Jin Ban South Korea
Fumihiko Uchida Japan
Stephanie Schipmann Germany
L G Solti-Bohman United States
Thomas Feyerabend Germany
Kiranya E. Tipirneni United States
Ping‐Ching Pai relative to Kim O. Learned United States Kim O. Learned's profile →
Citations per field
00.5×2.7×
Kim O. Learned · 1×
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 2015104
2 201275
3 200259
4 200647
5 202345
6 201839
7 200429
8 200628
9 201726
10 202321
11 200821
12 198119
13 200619
14 201018
15 200317
16 201116
17 201514
18 202012
19 201811
20 200410

About Ping‐Ching Pai

Ping‐Ching Pai is a scholar working on Oncology, Genetics, Endocrinology, Diabetes and Metabolism, Biomedical Engineering and Surgery, having authored 40 papers that have together received 698 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Brain Metastases and Treatment (5 papers), Meningioma and schwannoma management (5 papers), Viral-associated cancers and disorders (4 papers), 3D Printing in Biomedical Research (4 papers), Head and Neck Cancer Studies (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Otorhinolaryngology (115 citations), Genetics (97 citations), Endocrinology, Diabetes and Metabolism (126 citations), Oncology (109 citations) and Pulmonary and Respiratory Medicine (104 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, Chi-Cheng Yang and Kin Fong Lei. Their work appears in journals such as Journal of Neuro-Oncology, Head & Neck, Scientific Reports, Radiation Oncology and Cancer Medicine.

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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