Sam John
About
Sam John is a scholar working on Molecular Biology, Genetics and Immunology.
According to data from OpenAlex, Sam John has authored 64 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 18 papers in Genetics and 12 papers in Immunology. Recurrent topics in Sam John’s work include Genomics and Chromatin Dynamics (43 papers), RNA Research and Splicing (21 papers) and Estrogen and related hormone effects (17 papers). Sam John is often cited by papers focused on Genomics and Chromatin Dynamics (43 papers), RNA Research and Splicing (21 papers) and Estrogen and related hormone effects (17 papers). Sam John collaborates with scholars based in United States, United Kingdom and Germany. Sam John's co-authors include Gordon L. Hager, Myong‐Hee Sung, Thomas A. Johnson, J Stamatoyannopoulos and Jerry L. Workman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
In The Last Decade
Fields of papers citing papers by Sam John
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 Sam John. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sam John may publish in the future.
Countries citing papers authored by Sam John
Since SpecializationCitations
This map shows the geographic impact of Sam John'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 Sam John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam John more than expected).
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