Trevor N. Brown

1.5k citations
32 papers · 1.2k indexed · h-index 20
Topics
Toxic Organic Pollutants Impact (18 papers)Effects and risks of endocrine disrupting chemicals (8 papers)Computational Drug Discovery Methods (8 papers)

In The Last Decade

Trevor N. Brown

32 papers receiving 1.1k citations

Peers

Trevor N. Brown
Comparison fields: 5 of 101
  • Health, Toxicology and Mutagenesis 680
  • Environmental Chemistry 283
  • Pollution 254
  • Organic Chemistry 152
  • Computational Theory and Mathematics 145
Replace Jack de Bruijn with:
Jack de Bruijn Netherlands
Warren J. Lyman United States
Alessandro Sangion Canada
Ralf‐Uwe Ebert Germany
Steven J. Broderius United States
Mike Comber United Kingdom
Monika Nendza Germany
Noriyuki Suzuki Japan
Lawrence P. Burkhard United States
Moiz Mumtaz United States
Trevor N. Brown relative to Jack de Bruijn Netherlands Jack de Bruijn's profile →
Citations per field
00.5×6.3×
Jack de Bruijn · 1×
Citations per year

Countries citing papers authored by Trevor N. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Trevor N. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor N. Brown. 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 Trevor N. Brown. The network helps show where Trevor N. Brown may publish in the future.

Co-authorship network of co-authors of Trevor N. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor N. Brown. A scholar is included among the top collaborators of Trevor N. Brown 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 Trevor N. Brown. Trevor N. Brown 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 1
2 11
3 5
4 3
5 7
6 12
7 15
8 10
9 17
10 31
11 24
12 27
13 61
14 22
15 75
16 11
17 35
18 35
19 146
20 53

About Trevor N. Brown

Trevor N. Brown is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Computational Theory and Mathematics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (18 papers), Effects and risks of endocrine disrupting chemicals (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (680 citations), Chemical Health and Safety (21 citations) and Environmental Chemistry (283 citations). Trevor N. Brown has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Frank Wania, Jon A. Arnot, Nelaine Mora‐Diez, Kai‐Uwe Goss, Satoshi Endo, Michael S. McLachlan, Hans Peter H. Arp, Sarah E. Hale, Urs Berger and Knut Breivik. Their work appears in journals such as Environmental Science & Technology, The Journal of Physical Chemistry B and Water Research.

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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