Su San Mok
About
Su San Mok is a scholar working on Physiology, Molecular Biology and Neurology.
According to data from OpenAlex, Su San Mok has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 8 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Su San Mok’s work include Alzheimer's disease research and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Nuclear Receptors and Signaling (7 papers). Su San Mok is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Nuclear Receptors and Signaling (7 papers). Su San Mok collaborates with scholars based in Australia, Germany and United States. Su San Mok's co-authors include Colin L. Masters, David H. Small, Konrad Beyreuther, Roberto Cappai and Qiao‐Xin Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature reviews. Neuroscience and Biochemistry.
In The Last Decade
Fields of papers citing papers by Su San Mok
Since SpecializationEngineeringComputer 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 Su San Mok. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Su San Mok may publish in the future.
Countries citing papers authored by Su San Mok
Since SpecializationCitations
This map shows the geographic impact of Su San Mok'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 Su San Mok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su San Mok more than expected).
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