Shan Jin

About

Shan Jin is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Shan Jin has authored 14 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Pharmacology. Recurrent topics in Shan Jin’s work include Pluripotent Stem Cells Research (5 papers), Natural Compound Pharmacology Studies (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Shan Jin is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Natural Compound Pharmacology Studies (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Shan Jin collaborates with scholars based in China, Germany and Czechia. Shan Jin's co-authors include Guangzhong Yang, Anna M. Wobus, Fei Gan, Jürgen Rohwedel and Yu Chen and has published in prestigious journals such as Biochemical Journal, Developmental Biology and International Journal of Molecular Sciences.

In The Last Decade

Fields of papers citing papers by Shan Jin

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

Countries citing papers authored by Shan Jin

Since Specialization

Citations

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

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