Trevor S. Marks

599 citations
13 papers · 475 · h-index 8

Impact in

  • Pollution top 5%
    • Microbial bioremediation and biosurfactants
    • Escherichia coli research studies

Papers in

    • Microbial bioremediation and biosurfactants 7
    • Pesticide and Herbicide Environmental Studies 1
    • Microbial metabolism and enzyme function 2
    • Microbial Metabolic Engineering and Bioproduction 2

Trevor S. Marks

13 papers receiving 441 citations

Peers

Trevor S. Marks
Comparison fields: 5 of 65
  • Pollution 207
  • Endocrinology 72
  • Pharmaceutical Science 36
  • Ecology 134
  • Health, Toxicology and Mutagenesis 63
Replace Hisako Masuda with:
Hisako Masuda United States
F. D. Marvin-Sikkema Netherlands
Antje Breitenstein Germany
K S Kim United States
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Trevor S. Marks relative to Hisako Masuda United States Hisako Masuda's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Trevor S. Marks

Since Specialization
Citations

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

Fields of papers citing papers by Trevor S. Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Trevor S. Marks, 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 Trevor S. Marks Line = papers co-authored together Trevor S. Marks links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1984113
2 200380
3 198977
4 200066
5 198446
6 201229
7 201422
8 199214
9 20077
10 20047
11 19975
12
Genetics and molecular ecology of Escherichia coli O157.
19995
13 19974

About Trevor S. Marks

Trevor S. Marks is a scholar working on Pollution, Molecular Biology, Ecology, Biotechnology and Endocrinology, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (7 papers), Escherichia coli research studies (2 papers), Microbial metabolism and enzyme function (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacteriophages and microbial interactions (2 papers), Aerospace Engineering and Energy Systems (1 paper), Pesticide and Herbicide Environmental Studies (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Pollution (207 citations), Endocrinology (72 citations), Pharmaceutical Science (36 citations), Ecology (134 citations) and Health, Toxicology and Mutagenesis (63 citations). Trevor S. Marks has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Richard Sharp, Anthony R. Smith, Andrew Maule, Robin Wait, A. R. W. Smith, J. R. Saunders, Martin J. Sergeant, Lorenzo Fagiano, Alan J. McCarthy and Heather E. Allison. Their work appears in journals such as Biodegradation, Journal of Chemical Technology & Biotechnology, Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Applied Microbiology and Biotechnology.

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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