Eva Lin
About
Eva Lin is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Eva Lin has authored 25 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eva Lin’s work include Cancer Genomics and Diagnostics (5 papers), Melanoma and MAPK Pathways (5 papers) and Lung Cancer Treatments and Mutations (3 papers). Eva Lin is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Melanoma and MAPK Pathways (5 papers) and Lung Cancer Treatments and Mutations (3 papers). Eva Lin collaborates with scholars based in United States, Canada and Hong Kong. Eva Lin's co-authors include Scott E. Martin, Zora Modrušan, Jeff Settleman, Richard M. Neve and Yihong Yu and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.
In The Last Decade
Fields of papers citing papers by Eva Lin
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 Eva Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Eva Lin may publish in the future.
Countries citing papers authored by Eva Lin
Since SpecializationCitations
This map shows the geographic impact of Eva Lin'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 Eva Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Lin more than expected).
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