Peter See

About

Peter See is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Peter See has authored 19 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Peter See’s work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (6 papers). Peter See is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (6 papers). Peter See collaborates with scholars based in Singapore, United States and Japan. Peter See's co-authors include Florent Ginhoux, Lai Guan Ng, Melanie Greter, Laurent Rénia and Miriam Mérad and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fields of papers citing papers by Peter See

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

Countries citing papers authored by Peter See

Since Specialization

Citations

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

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