Su Wang

113 papers and 4.0k indexed citations i.

About

Su Wang is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Su Wang has authored 113 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Su Wang’s work include Neurogenesis and neuroplasticity mechanisms (8 papers), Colorectal Cancer Screening and Detection (8 papers) and Topic Modeling (6 papers). Su Wang is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (8 papers), Colorectal Cancer Screening and Detection (8 papers) and Topic Modeling (6 papers). Su Wang collaborates with scholars based in United States, China and United Kingdom. Su Wang's co-authors include Steven A. Goldman, Maiken Nedergaard, Abdellatif Benraiss, Neeta S. Roy, Richard A. R. Fraser, Takahiro Takano, Xiaoning Han, Martha S. Windrem, Ayano Kawaguchi and Hideyuki Okano and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Su Wang i

Fields of papers citing papers by Su Wang

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

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Rankless by CCL
2025