Gang Lv

About

Gang Lv is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Gang Lv has authored 27 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Pathology and Forensic Medicine and 6 papers in Epidemiology. Recurrent topics in Gang Lv’s work include Spinal Cord Injury Research (11 papers), Mitochondrial Function and Pathology (5 papers) and Autophagy in Disease and Therapy (5 papers). Gang Lv is often cited by papers focused on Spinal Cord Injury Research (11 papers), Mitochondrial Function and Pathology (5 papers) and Autophagy in Disease and Therapy (5 papers). Gang Lv collaborates with scholars based in China, South Korea and United States. Gang Lv's co-authors include Zhongkai Fan, Deshui Yu, Yang Cao, Yanfeng Wang and Xifan Mei and has published in prestigious journals such as Brain Research, Scientific Reports and Life Sciences.

In The Last Decade

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

Countries citing papers authored by Gang Lv

Since Specialization

Citations

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

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