Qing Lv

About

Qing Lv is a scholar working on Cancer Research, Oncology and Surgery. According to data from OpenAlex, Qing Lv has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cancer Research, 20 papers in Oncology and 16 papers in Surgery. Recurrent topics in Qing Lv’s work include Breast Cancer Treatment Studies (14 papers), AI in cancer detection (8 papers) and Breast Lesions and Carcinomas (8 papers). Qing Lv is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), AI in cancer detection (8 papers) and Breast Lesions and Carcinomas (8 papers). Qing Lv collaborates with scholars based in China, United States and Singapore. Qing Lv's co-authors include Qiuwen Tan, Zhenggui Du, Jiqiao Yang, Juanjuan Qiu and Yi Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Qing Lv

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Qing Lv. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Qing Lv may publish in the future.

Countries citing papers authored by Qing Lv

Since Specialization

Citations

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

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