Shan Lin

About

Shan Lin is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Shan Lin has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Epidemiology and 15 papers in Cancer Research. Recurrent topics in Shan Lin’s work include Sepsis Diagnosis and Treatment (10 papers), Traditional Chinese Medicine Analysis (6 papers) and Mesenchymal stem cell research (6 papers). Shan Lin is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), Traditional Chinese Medicine Analysis (6 papers) and Mesenchymal stem cell research (6 papers). Shan Lin collaborates with scholars based in China, United States and Taiwan. Shan Lin's co-authors include Jun Peng, Youqin Chen, Aling Shen, Jun Peng and Jianfeng Chu and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Shan Lin

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

Countries citing papers authored by Shan Lin

Since Specialization

Citations

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

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