Sijia Tian

About

Sijia Tian is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Sijia Tian has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 13 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Sijia Tian’s work include Parkinson's Disease Mechanisms and Treatments (8 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and COVID-19 epidemiological studies (4 papers). Sijia Tian is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and COVID-19 epidemiological studies (4 papers). Sijia Tian collaborates with scholars based in China, United States and Ireland. Sijia Tian's co-authors include Xinglong Yang, Quanzhen Zhao, Jinhua Zheng, Yalan Chen and Yanming Xu and has published in prestigious journals such as Scientific Reports, Neuroscience and Journal of Medicinal Chemistry.

In The Last Decade

Fields of papers citing papers by Sijia Tian

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 Sijia Tian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sijia Tian may publish in the future.

Countries citing papers authored by Sijia Tian

Since Specialization

Citations

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

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