Kaya Forest

61 papers receiving 1.4k citations

Peers

Kaya Forest
Comparison fields: 5 of 126
  • Environmental Chemistry 629
  • Health, Toxicology and Mutagenesis 586
  • Atmospheric Science 417
  • Physical and Theoretical Chemistry 134
  • Organic Chemistry 314
Replace James C. Ball with:
James C. Ball United States
Ken J. Friesen Canada
Trevor N. Brown Canada
Eric D. Nelson United States
J. Mark Parnis Canada
Kitao Fujiwara Japan
Daniel A. Hinckley United States
Fei Xu China
K. W. Pepper Canada
Xiaofei Wang China
Kaya Forest relative to James C. Ball United States James C. Ball's profile →
Citations per field
00.5×2.7×
James C. Ball · 1×
Citations per year

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).

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.

Co-authors

The 10 scholars most cited alongside Kaya Forest, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaya Forest Line = papers co-authored together Kaya Forest links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009390
2 201094
3 200890
4 201049
5 200944
6 201042
7 200938
8 201135
9 201034
10 201634
11 200432
12 200930
13 201029
14 200827
15 200727
16 200926
17 201022
18 201021
19 200919
20 201018

About Kaya Forest

Kaya Forest is a scholar working on Organic Chemistry, Health, Toxicology and Mutagenesis, Environmental Chemistry, Atomic and Molecular Physics, and Optics and Atmospheric Science, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemical Thermodynamics and Molecular Structure (17 papers), Per- and polyfluoroalkyl substances research (15 papers), Advanced Chemical Physics Studies (14 papers), Atmospheric chemistry and aerosols (14 papers), Toxic Organic Pollutants Impact (13 papers), Free Radicals and Antioxidants (11 papers), Thermal and Kinetic Analysis (6 papers) and Photochemistry and Electron Transfer Studies (6 papers). The work is most often cited by research in Environmental Chemistry (629 citations), Health, Toxicology and Mutagenesis (586 citations), Atmospheric Science (417 citations), Physical and Theoretical Chemistry (134 citations) and Organic Chemistry (314 citations). Kaya Forest has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Sierra Rayne, Ken J. Friesen, Peter Wan, Caroline M. Preston, Paramjit Gill, Lawrence A. Huck, Daniel Kahne, Clarence E. Schutt, Ron Shigeta and Lei Yan. Their work appears in journals such as Journal of Environmental Science and Health Part A, Journal of Chemical & Engineering Data, Canadian Journal of Chemistry, The Science of The Total Environment and Flavour and Fragrance Journal.

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.

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