S M Cuskey

599 citations
12 papers · 482 · h-index 10

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • Microbial metabolism and enzyme function 2
    • Fungal and yeast genetics research 2
    • Bacterial Genetics and Biotechnology 5

S M Cuskey

12 papers receiving 455 citations

Peers

S M Cuskey
Comparison fields: 5 of 61
  • Pollution 258
  • Process Chemistry and Technology 17
  • Genetics 122
  • Biochemistry 31
  • Molecular Biology 288
Replace Young Min Kim with:
Young Min Kim South Korea
S W Hooper United States
Heidrun Herrmann Germany
G Baggi Italy
Taro Iizumi Japan
Jürgen Ruff Germany
J Ras Netherlands
M.-Mar González-Pérez Spain
В. А. Демаков Russia
Masaaki Urata Japan
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Citations per field
00.5×3.0×
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Citations per year

Countries citing papers authored by S M Cuskey

Since Specialization
Citations

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

Fields of papers citing papers by S M Cuskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside S M Cuskey, 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 S M Cuskey Line = papers co-authored together S M Cuskey links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1989162
2 199177
3 199242
4 198542
5 198533
6 198732
7 198125
8 199023
9 198822
10 198818
11
Screening for. beta. -glucosidase mutants of Trichoderma reesei with resistance to end-product inhibition
19804
12
Bacteria and the environment.
19892

About S M Cuskey

S M Cuskey is a scholar working on Molecular Biology, Genetics, Pollution, Biomedical Engineering and Materials Chemistry, having authored 12 papers that have together received 482 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Microbial bioremediation and biosurfactants (3 papers), Biofuel production and bioconversion (3 papers), Enzyme Catalysis and Immobilization (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial metabolism and enzyme function (2 papers), Fungal and yeast genetics research (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Pollution (258 citations), Process Chemistry and Technology (17 citations), Genetics (122 citations), Biochemistry (31 citations) and Molecular Biology (288 citations). S M Cuskey has collaborated with scholars based in United States and Ghana. Frequent co-authors include Malcolm S. Shields, P. H. Pritchard, Stacy O. Montgomery, R H Olsen, Peter J. Chapman, Paul V. Phibbs, P. J. Chapman, Jon A. Wolff, Amy B. Sprenkle and Wade H. Jeffrey. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and PubMed.

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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