Linlin Lv

About

Linlin Lv is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Linlin Lv has authored 26 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Linlin Lv’s work include Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Linlin Lv is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Linlin Lv collaborates with scholars based in China. Linlin Lv's co-authors include Deshi Dong, Shujing Li, Huijian Wu, Xiaohan Zhai and Xufeng Tao and has published in prestigious journals such as Chemosphere, International Journal of Pharmaceutics and Molecules.

In The Last Decade

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

Countries citing papers authored by Linlin Lv

Since Specialization

Citations

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

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