Wayne M. Coco

841 citations
9 papers · 551 · h-index 9

Impact in

Papers in

    • Protein purification and stability 2
    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Advanced biosensing and bioanalysis techniques 1
    • Bacterial Genetics and Biotechnology 4

Wayne M. Coco

9 papers receiving 535 citations

Peers

Wayne M. Coco
Comparison fields: 5 of 58
  • Pollution 129
  • Biotechnology 63
  • Molecular Biology 434
  • Genetics 166
  • Molecular Medicine 24
Replace Allan Nurk with:
Allan Nurk Estonia
Thorsten Adams Germany
Minghua Dai United States
Francesco Rodriguez Italy
Aleksei Rozkov Sweden
Holger Ziehr Germany
S. Funayama Brazil
Gerhard Greller Germany
Ulrich Winkler Germany
Marco Malten Germany
Wayne M. Coco relative to Allan Nurk Estonia Allan Nurk's profile →
Citations per field
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Allan Nurk · 1×
Citations per year

Countries citing papers authored by Wayne M. Coco

Since Specialization
Citations

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

Fields of papers citing papers by Wayne M. Coco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wayne M. Coco, 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 Wayne M. Coco Line = papers co-authored together Wayne M. Coco links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001165
2 1990117
3 199375
4 199948
5 200244
6 199432
7 201227
8 200322
9 201221

About Wayne M. Coco

Wayne M. Coco is a scholar working on Molecular Biology, Genetics, Ecology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 9 papers that have together received 551 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Protein purification and stability (2 papers), Bacteriophages and microbial interactions (2 papers), Transgenic Plants and Applications (2 papers), CRISPR and Genetic Engineering (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Pollution (129 citations), Biotechnology (63 citations), Molecular Biology (434 citations), Genetics (166 citations) and Molecular Medicine (24 citations). Wayne M. Coco has collaborated with scholars based in United States, Germany and India. Frequent co-authors include A. M. Chakrabarty, Randi K. Rothmel, L. Nicholas Ornston, Philip T. Pienkos, William E. Levinson, Daniel J. Monticello, Aldis Darzins, Harm J. Hektor, Charles H. Squires and John E. Houghton. Their work appears in journals such as Journal of Bacteriology, Nature Biotechnology, Journal of Pharmaceutical Sciences, mAbs and Humana Press eBooks.

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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