Yanan Kuang
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 0.5%
- Oncology top 1%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Pasi A. JänneCloud P. PaweletzGeoffrey R. OxnardDianqing WuHuiping JiangYanping WuIrene García-HigueraJ. Carl Barrett
- Topics
- Cancer Genomics and Diagnostics (15 papers)Lung Cancer Treatments and Mutations (14 papers)DNA Repair Mechanisms (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Yanan Kuang
37 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.4k
- Pulmonary and Respiratory Medicine 2.3k
- Cancer Research 2.1k
- Oncology 2.1k
- Pathology and Forensic Medicine 459
Countries citing papers authored by Yanan Kuang
This map shows the geographic impact of Yanan Kuang'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 Yanan Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanan Kuang more than expected).
Fields of papers citing papers by Yanan Kuang
This network shows the impact of papers produced by Yanan Kuang. 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 Yanan Kuang. The network helps show where Yanan Kuang may publish in the future.
Co-authorship network of co-authors of Yanan Kuang
This figure shows the co-authorship network connecting the top 25 collaborators of Yanan Kuang. A scholar is included among the top collaborators of Yanan Kuang 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 Yanan Kuang. Yanan Kuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 41 | |
| 5 | 290 | |
| 6 | 5 | |
| 7 | 89 | |
| 8 | 103 | |
| 9 | 114 | |
| 10 | 177 | |
| 11 | 103 | |
| 12 | Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790Mbreakdown → | 1189 |
| 13 | 123 | |
| 14 | Noninvasive Detection of Response and Resistance in EGFR -Mutant Lung Cancer Using Quantitative Next-Generation Genotyping of Cell-Free Plasma DNAbreakdown → | 590 |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 278 | |
| 18 | 169 | |
| 19 | 119 | |
| 20 | 31 |
About Yanan Kuang
Yanan Kuang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 39 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Lung Cancer Treatments and Mutations (14 papers) and DNA Repair Mechanisms (8 papers). The work is most often cited by research in Cancer Research (2.1k citations), Oncology (2.1k citations) and Pulmonary and Respiratory Medicine (2.3k citations). Yanan Kuang has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Pasi A. Jänne, Cloud P. Paweletz, Geoffrey R. Oxnard, Dianqing Wu, Huiping Jiang, Yanping Wu, Irene García-Higuera, J. Carl Barrett, Aleksandra Markovets and Enriqueta Felip. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.