Airong Yang

409 total citations
13 papers, 67 citations indexed

About

Airong Yang is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Surgery. According to data from OpenAlex, Airong Yang has authored 13 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 6 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Airong Yang's work include Lung Cancer Treatments and Mutations (6 papers), Cancer Genomics and Diagnostics (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Airong Yang is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Cancer Genomics and Diagnostics (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Airong Yang collaborates with scholars based in China, United Kingdom and United States. Airong Yang's co-authors include Jun Wang, Fan Yang, Nnennaya Kanu, Sujie Zhang, Wendy Wu, Yun Li, Fengxia Du, Kezhong Chen, Olga Chervova and Lin Wu and has published in prestigious journals such as Cell Reports, BMC Public Health and Frontiers in Oncology.

In The Last Decade

Airong Yang

11 papers receiving 67 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Airong Yang China 5 33 20 20 8 8 13 67
Abed Rahman Kawakibi United States 3 18 0.5× 21 1.1× 18 0.9× 7 0.9× 10 1.3× 8 62
Nachelle Aurelien United States 2 29 0.9× 45 2.3× 30 1.5× 3 0.4× 4 0.5× 2 77
Elaine J. Chiao United States 3 41 1.2× 23 1.1× 16 0.8× 15 1.9× 3 0.4× 6 57
Ricardo Velasquez United States 3 42 1.3× 21 1.1× 47 2.4× 26 3.3× 3 0.4× 4 84
Jane Foo Canada 4 18 0.5× 33 1.6× 20 1.0× 13 1.6× 4 0.5× 5 51
Weixin Cai United States 3 15 0.5× 30 1.5× 25 1.3× 5 0.6× 7 0.9× 4 80
Luhui Mao China 5 27 0.8× 28 1.4× 26 1.3× 13 1.6× 2 0.3× 6 73
The Cancer Genome Atlas Research Network United States 3 19 0.6× 44 2.2× 27 1.4× 8 1.0× 3 0.4× 5 55
Daniela Aust Germany 2 27 0.8× 31 1.6× 12 0.6× 38 4.8× 3 0.4× 4 69

Countries citing papers authored by Airong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Airong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Airong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Airong Yang. A scholar is included among the top collaborators of Airong Yang 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 Airong Yang. Airong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chen, Bin, Jing Zhou, Zhiming Li, et al.. (2025). Two cases of Amyloid-Related Imaging Abnormalities (ARIA) following lecanemab treatment for alzheimer’s disease and a literature review. BMC Neurology. 25(1). 281–281. 2 indexed citations
2.
Wang, Ziyang, Kunkun Sun, Fang Wu, et al.. (2025). Optimizing the NGS-based discrimination of multiple lung cancers from the perspective of evolution. npj Precision Oncology. 9(1). 14–14. 1 indexed citations
3.
Nie, Fangfei, Xiaorong Wang, Airong Yang, et al.. (2025). Sociodemographic and sex differences in the global burden of hypertensive heart disease, 1990–2021: a population-based analysis. Tropical Medicine and Health. 53(1). 108–108.
4.
Meng, Fanjie, Hao Li, Airong Yang, et al.. (2024). Spatial immunogenomic patterns associated with lymph node metastasis in lung adenocarcinoma. Experimental Hematology and Oncology. 13(1). 106–106.
5.
Wang, Ye, Li Pan, Huijing He, et al.. (2024). Prevalence, associated factors, and gene polymorphisms of obesity in Tibetan adults in Qinghai, China. BMC Public Health. 24(1). 5 indexed citations
7.
Chen, Kezhong, Airong Yang, David P. Carbone, et al.. (2022). Spatiotemporal genomic analysis reveals distinct molecular features in recurrent stage I non-small cell lung cancers. Cell Reports. 40(2). 111047–111047. 9 indexed citations
8.
Zhang, Chenyue, Kai Wang, Wenjie Liu, et al.. (2022). Whole exome sequencing in Chinese mucinous pulmonary adenocarcinoma uncovers specific genetic variations different from lung adenocarcinoma. Frontiers in Oncology. 12. 1054845–1054845. 1 indexed citations
9.
10.
Wang, Yi, et al.. (2021). Government Provides Vigorous Supports to the Improvement of Health Care in Qinghai Province, China. Chinese Medical Sciences Journal. 36(4). 346–350. 1 indexed citations
11.
Wang, Meng, Guangliang Shan, Xianghua Wang, et al.. (2021). Prevalence and risk factors of refractive error in Qinghai, China: a cross-sectional study in Han and Tibetan adults in Xining and surrounding areas. BMC Ophthalmology. 21(1). 260–260. 8 indexed citations
12.
Li, Jinping, et al.. (2018). Experimental Study of the Cloud Influence on PV Grid Connected System. Smart Grid and Renewable Energy. 9(1). 1–15. 3 indexed citations

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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