Caroline Tebes-Stevens

2.2k citations
24 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Toxic Organic Pollutants Impact (8 papers)Computational Drug Discovery Methods (5 papers)Pharmaceutical and Antibiotic Environmental Impacts (5 papers)

In The Last Decade

Caroline Tebes-Stevens

22 papers receiving 1.5k citations

Hit Papers

Per- and polyfluoroalkyl substances in the environment202220262023202420222505007501000

Peers

Caroline Tebes-Stevens
Comparison fields: 5 of 114
  • Environmental Chemistry 1.1k
  • Health, Toxicology and Mutagenesis 767
  • Atmospheric Science 377
  • Pollution 137
  • Environmental Engineering 123
Replace Mei Sun with:
Mei Sun United States
Rula A. Deeb United States
James C. Ball United States
Robert D. Howell United States
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Thomas A. Bruton United States
Sujan Fernando United States
Kaya Forest Canada
Caroline Tebes-Stevens relative to Mei Sun United States Mei Sun's profile →
Citations per field
00.5×1.5×2.2×
Mei Sun · 1×
Citations per year

Countries citing papers authored by Caroline Tebes-Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Tebes-Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Tebes-Stevens. 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 Caroline Tebes-Stevens. The network helps show where Caroline Tebes-Stevens may publish in the future.

Co-authorship network of co-authors of Caroline Tebes-Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Tebes-Stevens. A scholar is included among the top collaborators of Caroline Tebes-Stevens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline Tebes-Stevens. Caroline Tebes-Stevens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 28
4
Per- and polyfluoroalkyl substances in the environmentbreakdown →
1166
5 27
6 9
7 20
8 2
9 6
10 19
11 23
12 5
13 53
14 14
15 23
16 10
17 14
18 15
19 13
20 8

About Caroline Tebes-Stevens

Caroline Tebes-Stevens is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Pollution, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (8 papers), Computational Drug Discovery Methods (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). The work is most often cited by research in Environmental Chemistry (1.1k citations), Health, Toxicology and Mutagenesis (767 citations) and Atmospheric Science (377 citations). Caroline Tebes-Stevens has collaborated with scholars based in United States, Ireland and Ghana. Frequent co-authors include E. Weber, John W. Washington, Brad Acrey, Marina G. Evich, Mary J. B. Davis, Mark J. Strynar, James McCord, Thomas F. Speth, Andrew B. Lindstrom and Detlef R.U. Knappe. Their work appears in journals such as Science, Environmental Science & Technology and The Science of The Total Environment.

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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