Jennifer Cha
About
Jennifer Cha is a scholar working on Molecular Biology, Oncology and Cancer Research.
According to data from OpenAlex, Jennifer Cha has authored 11 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Jennifer Cha’s work include Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Jennifer Cha is often cited by papers focused on Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Jennifer Cha collaborates with scholars based in United States and Türkiye. Jennifer Cha's co-authors include Zahra Ashkavand, Kenneth R. Norman, Dong‐Joo Cheon and Sandra Oršulić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Cancer Research.
In The Last Decade
Fields of papers citing papers by Jennifer Cha
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 Jennifer Cha. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jennifer Cha may publish in the future.
Countries citing papers authored by Jennifer Cha
Since SpecializationCitations
This map shows the geographic impact of Jennifer Cha'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 Jennifer Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Cha more than expected).
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