William Tan

About

William Tan is a scholar working on Epidemiology, Genetics and Molecular Biology. According to data from OpenAlex, William Tan has authored 13 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in William Tan’s work include Inflammatory Bowel Disease (9 papers), Microscopic Colitis (9 papers) and Autoimmune and Inflammatory Disorders (2 papers). William Tan is often cited by papers focused on Inflammatory Bowel Disease (9 papers), Microscopic Colitis (9 papers) and Autoimmune and Inflammatory Disorders (2 papers). William Tan collaborates with scholars based in United States, Singapore and The Netherlands. William Tan's co-authors include Ashwin N. Ananthakrishnan, Nienke Z. Borren, Hamed Khalili, Francis Colizzo and John J. Garber and has published in prestigious journals such as Gastroenterology, The Journal of Urology and Cell Host & Microbe.

In The Last Decade

Fields of papers citing papers by William Tan

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

Countries citing papers authored by William Tan

Since Specialization

Citations

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

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