Sikic Bi
About
Sikic Bi is a scholar working on Molecular Biology, Oncology and Organic Chemistry.
According to data from OpenAlex, Sikic Bi has authored 13 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Sikic Bi’s work include Cancer therapeutics and mechanisms (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Chemokine receptors and signaling (2 papers). Sikic Bi is often cited by papers focused on Cancer therapeutics and mechanisms (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Chemokine receptors and signaling (2 papers). Sikic Bi collaborates with scholars based in United States. Sikic Bi's co-authors include NJ Chao, KG Blume, Michiko Aihara, Susan Arnold and Raymond L. Furner and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Sikic Bi
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 Sikic Bi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sikic Bi may publish in the future.
Countries citing papers authored by Sikic Bi
Since SpecializationCitations
This map shows the geographic impact of Sikic Bi'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 Sikic Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sikic Bi more than expected).
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