Xiaodan Lv

About

Xiaodan Lv is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Xiaodan Lv has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Plant Science. Recurrent topics in Xiaodan Lv’s work include Inflammatory Bowel Disease (4 papers), Gynecological conditions and treatments (4 papers) and Reproductive System and Pregnancy (4 papers). Xiaodan Lv is often cited by papers focused on Inflammatory Bowel Disease (4 papers), Gynecological conditions and treatments (4 papers) and Reproductive System and Pregnancy (4 papers). Xiaodan Lv collaborates with scholars based in China, Hong Kong and United Kingdom. Xiaodan Lv's co-authors include Xu Ma, Lingling Zhan, Shi Tian, Sensen Lin and Junhua Fan and has published in prestigious journals such as Cell, Scientific Reports and European Journal of Pharmacology.

In The Last Decade

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

Countries citing papers authored by Xiaodan Lv

Since Specialization

Citations

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

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