Shuo Lin

About

Shuo Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Shuo Lin has authored 35 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Shuo Lin’s work include Diabetes Management and Research (10 papers), Diabetes Treatment and Management (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). Shuo Lin is often cited by papers focused on Diabetes Management and Research (10 papers), Diabetes Treatment and Management (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). Shuo Lin collaborates with scholars based in China. Shuo Lin's co-authors include Longyi Zeng, Jinhui Cui, Jianhui Fan, Panwei Mu and Shuisheng Zhou and has published in prestigious journals such as Diabetes, Clinica Chimica Acta and Clinical Endocrinology.

In The Last Decade

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

Countries citing papers authored by Shuo Lin

Since Specialization

Citations

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

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