Kun Yang

161 papers receiving 3.8k citations

Kun Yang's Hit Papers

EGFR, p16, HPV Titer, Bcl-xL and p53, Sex, and Smoking As Indicators of Response to Therapy and Survival in Oropharyngeal Cancer 2008 · 495 citations
4950+6+12Years since publication100200300400

Peers

Kun Yang
Comparison fields: 5 of 162
  • Otorhinolaryngology 631
  • Oncology 858
  • Cancer Research 385
  • Reproductive Medicine 165
  • Epidemiology 462
Replace Erin Moshier with:
Erin Moshier United States
Bin Huang United States
Mattias Johansson France
Yu Yang China
Simona Iodice Italy
Jianguang Ji Sweden
Leonidas G. Koniaris United States
Seong‐Jang Kim South Korea
Gen Suzuki Japan
Jan P. Schouten Netherlands
Kun Yang relative to Erin Moshier United States Erin Moshier's profile →
Citations per field
00.5×2.9×
Erin Moshier · 1×
Citations per year

Countries citing papers authored by Kun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EGFR, p16, HPV Titer, Bcl-xL and p53, Sex, and Smoking As Indicators of Response to Therapy and Survival in Oropharyngeal Cancer
Hit paper breakdown →
2008495
2 2011413
3 2011301
4 2008263
5 2015151
6 2014104
7 200796
8 202294
9 201563
10 200357
11 202256
12 202051
13 201350
14 200545
15 201845
16 201944
17 201844
18 201041
19 201640
20 202339

About Kun Yang

Kun Yang is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Neurology and Molecular Biology, having authored 179 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (22 papers), Acute Ischemic Stroke Management (20 papers), Intracranial Aneurysms: Treatment and Complications (11 papers), Dementia and Cognitive Impairment Research (8 papers), Spondyloarthritis Studies and Treatments (7 papers), Cancer Cells and Metastasis (6 papers), Vascular Malformations Diagnosis and Treatment (6 papers) and Stroke Rehabilitation and Recovery (6 papers). The work is most often cited by research in Otorhinolaryngology (631 citations), Oncology (858 citations), Cancer Research (385 citations), Reproductive Medicine (165 citations) and Epidemiology (462 citations). Kun Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ronald J. Buckanovich, Shoumei Bai, Karen McLean, David M. Kurnit, Thomas E. Carey, Nisha J. D’Silva, Douglas B. Chepeha, Susan G. Urba, Julia S. Lee and Mark E. Prince. Their work appears in journals such as Cochrane Database of Systematic Reviews, Medicine, BMJ Open, Journal of Alzheimer s Disease and Frontiers in Neurology.

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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