Wayne M. Coco

841 total citations
9 papers, 551 citations indexed

About

Wayne M. Coco is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Wayne M. Coco has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Ecology. Recurrent topics in Wayne M. Coco's work include Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (2 papers) and CRISPR and Genetic Engineering (2 papers). Wayne M. Coco is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (2 papers) and CRISPR and Genetic Engineering (2 papers). Wayne M. Coco collaborates with scholars based in United States, Germany and India. Wayne M. Coco's co-authors include A. M. Chakrabarty, Randi K. Rothmel, L. Nicholas Ornston, William E. Levinson, Philip T. Pienkos, Daniel J. Monticello, Aldis Darzins, Charles H. Squires, Harm J. Hektor and Teri L. Aldrich and has published in prestigious journals such as Nature Biotechnology, Journal of Bacteriology and Journal of Pharmaceutical Sciences.

In The Last Decade

Wayne M. Coco

9 papers receiving 535 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wayne M. Coco United States 9 434 166 129 76 71 9 551
Allan Nurk Estonia 11 343 0.8× 114 0.7× 174 1.3× 63 0.8× 16 0.2× 16 472
Thorsten Adams Germany 9 294 0.7× 68 0.4× 27 0.2× 54 0.7× 36 0.5× 13 423
Minghua Dai United States 7 231 0.5× 49 0.3× 70 0.5× 53 0.7× 45 0.6× 8 324
Marco Malten Germany 12 421 1.0× 171 1.0× 20 0.2× 124 1.6× 42 0.6× 18 594
Holger Ziehr Germany 11 196 0.5× 39 0.2× 27 0.2× 63 0.8× 23 0.3× 23 352
Gerhard Greller Germany 13 414 1.0× 88 0.5× 12 0.1× 177 2.3× 29 0.4× 28 583
Aleksei Rozkov Sweden 11 251 0.6× 112 0.7× 20 0.2× 34 0.4× 22 0.3× 15 341
Francesco Rodriguez Italy 4 297 0.7× 134 0.8× 63 0.5× 23 0.3× 4 0.1× 5 430
Dane W. Zabriskie United States 10 388 0.9× 87 0.5× 28 0.2× 128 1.7× 25 0.4× 16 534
R. Fass United States 5 406 0.9× 120 0.7× 9 0.1× 92 1.2× 45 0.6× 8 519

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-authorship network of co-authors of Wayne M. Coco

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne M. Coco. A scholar is included among the top collaborators of Wayne M. Coco 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 Wayne M. Coco. Wayne M. Coco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Lindén, Lars, et al.. (2012). Salt-Induced Aggregation of a Monoclonal Human Immunoglobulin G1. Journal of Pharmaceutical Sciences. 102(2). 377–386. 27 indexed citations
3.
Coco, Wayne M.. (2003). RACHITT Gene Family Shuffling by Random Chimeragenesis on Transient Templates. Humana Press eBooks. 231. 111–128. 22 indexed citations
4.
Coco, Wayne M., Lance P. Encell, William E. Levinson, et al.. (2002). Growth factor engineering by degenerate homoduplex gene family recombination. Nature Biotechnology. 20(12). 1246–1250. 44 indexed citations
5.
Coco, Wayne M., William E. Levinson, Harm J. Hektor, et al.. (2001). DNA shuffling method for generating highly recombined genes and evolved enzymes. Nature Biotechnology. 19(4). 354–359. 165 indexed citations
6.
D’Argenio, David A., et al.. (1999). The Physiological Contribution of Acinetobacter PcaK, a Transport System That Acts upon Protocatechuate, Can Be Masked by the Overlapping Specificity of VanK. Journal of Bacteriology. 181(11). 3505–3515. 48 indexed citations
7.
Coco, Wayne M., Matthew R. Parsek, & A. M. Chakrabarty. (1994). Purification of the LysR family regulator, ClcR, and its interaction with the Pseudomonas putida clcABD chlorocatechol operon promoter. Journal of Bacteriology. 176(17). 5530–5533. 32 indexed citations
8.
Coco, Wayne M., Randi K. Rothmel, Steven Henikoff, & A. M. Chakrabarty. (1993). Nucleotide sequence and initial functional characterization of the clcR gene encoding a LysR family activator of the clcABD chlorocatechol operon in Pseudomonas putida. Journal of Bacteriology. 175(2). 417–427. 75 indexed citations
9.
Rothmel, Randi K., Teri L. Aldrich, John E. Houghton, et al.. (1990). Nucleotide sequencing and characterization of Pseudomonas putida catR: a positive regulator of the catBC operon is a member of the LysR family. Journal of Bacteriology. 172(2). 922–931. 117 indexed citations

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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