Kaya Forest

2.2k citations
61 papers · 1.5k · h-index 20

Impact in

Papers in

Kaya Forest

61 papers receiving 1.5k citations

Peers

Kaya Forest
Comparison fields: 5 of 128
  • Environmental Chemistry 640
  • Health, Toxicology and Mutagenesis 595
  • Atmospheric Science 421
  • Physical and Theoretical Chemistry 140
  • Organic Chemistry 321
Replace James C. Ball with:
James C. Ball United States
Ken J. Friesen Canada
Trevor N. Brown Canada
Eric D. Nelson United States
Kitao Fujiwara Japan
J. Mark Parnis Canada
K. W. Pepper Canada
Daniel A. Hinckley United States
Fei Xu China
Howard Sidebottom Ireland
Kaya Forest relative to James C. Ball United States James C. Ball's profile →
Citations per field
00.5×2×2.8×
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 2009399
2 201094
3 200894
4 201049
5 200944
6 201043
7 200939
8 201136
9 201034
10 201634
11 200432
12 200930
13 200930
14 201029
15 200828
16 200727
17 201023
18 200922
19 201021
20 201019

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 1.5k 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 (640 citations), Health, Toxicology and Mutagenesis (595 citations), Atmospheric Science (421 citations), Physical and Theoretical Chemistry (140 citations) and Organic Chemistry (321 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, Ron Shigeta, Lei Yan, Daniel Kahne and Clarence E. Schutt. Their work appears in journals such as Journal of Environmental Science and Health Part A, Journal of Chemical & Engineering Data, Canadian Journal of Chemistry, Theoretical Chemistry Accounts 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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