Siu Ki Chan

About

Siu Ki Chan is a scholar working on Pathology and Forensic Medicine, Oncology and Surgery. According to data from OpenAlex, Siu Ki Chan has authored 11 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Oncology and 2 papers in Surgery. Recurrent topics in Siu Ki Chan’s work include Breast Lesions and Carcinomas (4 papers), AI in cancer detection (2 papers) and Breast Cancer Treatment Studies (2 papers). Siu Ki Chan is often cited by papers focused on Breast Lesions and Carcinomas (4 papers), AI in cancer detection (2 papers) and Breast Cancer Treatment Studies (2 papers). Siu Ki Chan collaborates with scholars based in Hong Kong, Singapore and China. Siu Ki Chan's co-authors include Gary M. Tse, Julia Y. Tsang, Christopher Lam, Puay‐Hoon Tan and Yun‐Bi Ni and has published in prestigious journals such as European Journal of Pharmacology, Journal of Clinical Pathology and Heart.

In The Last Decade

Fields of papers citing papers by Siu Ki Chan

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

Countries citing papers authored by Siu Ki Chan

Since Specialization

Citations

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

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