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, United States and Germany. Kaya Forest's co-authors include Sierra Rayne, Ken J. Friesen, Peter Wan, Caroline M. Preston, Paramjit Gill, Lawrence A. Huck, Clarence E. Schutt, Daniel Kahne and Ron Shigeta 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

Co-authorship network of co-authors of Kaya Forest i

Fields of papers citing papers by Kaya Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaya Forest. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaya Forest. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025