Xiaojun Ren

About

Xiaojun Ren is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Epidemiology. According to data from OpenAlex, Xiaojun Ren has authored 13 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Xiaojun Ren’s work include Inflammatory Biomarkers in Disease Prognosis (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). Xiaojun Ren is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). Xiaojun Ren collaborates with scholars based in China. Xiaojun Ren's co-authors include Zhaowei Meng, Qing He, Mei Zhu, Kun Song and Qiyu Jia and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Medicine.

In The Last Decade

Fields of papers citing papers by Xiaojun Ren

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

Countries citing papers authored by Xiaojun Ren

Since Specialization

Citations

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

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