Kaya Forest

60 papers and 1.3k indexed citations i.

About

Kaya Forest is a scholar working on Organic Chemistry, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Kaya Forest has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Organic Chemistry, 17 papers in Health, Toxicology and Mutagenesis and 17 papers in Environmental Chemistry. Recurrent topics in Kaya Forest’s work include Chemical Thermodynamics and Molecular Structure (17 papers), Perfluoroalkyl and Polyfluoroalkyl Substances in the Environment (16 papers) and Atmospheric chemistry and aerosols (15 papers). Kaya Forest is often cited by papers focused on Chemical Thermodynamics and Molecular Structure (17 papers), Perfluoroalkyl and Polyfluoroalkyl Substances in the Environment (16 papers) and Atmospheric chemistry and aerosols (15 papers). Kaya Forest collaborates with scholars based in Canada, Germany and United States. Kaya Forest's co-authors include Sierra Rayne, Ken J. Friesen, Peter Wan, Daniel Kahne and Clarence E. Schutt and has published in prestigious journals such as The Science of The Total Environment, Environment International and Journal of Chemical & Engineering Data.

In The Last Decade

Fields of papers citing papers by Kaya Forest

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

Countries citing papers authored by Kaya Forest

Since Specialization
Citations

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

Rankless by CCL
2025