Mark J. Dycaico

894 total citations
15 papers, 733 citations indexed

About

Mark J. Dycaico is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Mark J. Dycaico has authored 15 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Mark J. Dycaico's work include Animal Genetics and Reproduction (7 papers), CRISPR and Genetic Engineering (6 papers) and Virus-based gene therapy research (3 papers). Mark J. Dycaico is often cited by papers focused on Animal Genetics and Reproduction (7 papers), CRISPR and Genetic Engineering (6 papers) and Virus-based gene therapy research (3 papers). Mark J. Dycaico collaborates with scholars based in United States, Canada and France. Mark J. Dycaico's co-authors include Patricia L. Kretz, Gabrielle S. Le Provost, Jay M. Short, Joseph A. Sorge, Jane C. Moores, Steven W. Kohler, Stephen A. Geller, Katherine A. Felts, Brenda J. Rogers and W. Stephen Nichols and has published in prestigious journals such as Science, Nucleic Acids Research and Hepatology.

In The Last Decade

Mark J. Dycaico

15 papers receiving 718 citations

Peers

Mark J. Dycaico
Steven W. Kohler United States
Cynthia L. Innes United States
Udo Mallick Germany
Bruno Morolli Netherlands
Edwin F. Spangler United States
Ying-Fei Wei United States
Joe M. Angel United States
Steven W. Kohler United States
Mark J. Dycaico
Citations per year, relative to Mark J. Dycaico Mark J. Dycaico (= 1×) peers Steven W. Kohler

Countries citing papers authored by Mark J. Dycaico

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Dycaico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Dycaico. 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 Mark J. Dycaico. The network helps show where Mark J. Dycaico may publish in the future.

Co-authorship network of co-authors of Mark J. Dycaico

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

All Works

15 of 15 papers shown
1.
Dycaico, Mark J., et al.. (2004). GigaMatrix: A Novel Ultrahigh Throughput Protein Optimization and Discovery Platform. Methods in enzymology on CD-ROM/Methods in enzymology. 388. 119–134. 18 indexed citations
2.
Dycaico, Mark J., et al.. (2004). : An Ultra High-Throughput Tool for Accessing Biodiversity. 1 indexed citations
3.
Dycaico, Mark J., et al.. (2004). GigaMatrix™: An Ultra High-Throughput Tool for Accessing Biodiversity. JALA Journal of the Association for Laboratory Automation. 9(4). 200–208. 14 indexed citations
4.
Nichols, W. Stephen, et al.. (1998). Hepatocarcinogenesis (Z#2)/mutagenesis during initiation stage. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 398(1-2). 143–149. 4 indexed citations
5.
Cariello, Neal F., George R. Douglas, Mark J. Dycaico, et al.. (1997). Databases and software for the analysis of mutations in the human p53 gene, the human hprt gene and both the lacI and lacZ gene in transgenic rodents. Nucleic Acids Research. 25(1). 136–137. 17 indexed citations
6.
Rogers, Brenda J., et al.. (1997). Evaluation of the transgenic Lambda/LacI mouse model as a short-term predictor of heritable risk. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 388(2-3). 129–136. 5 indexed citations
8.
Boer, Johan G. de, James W. Holcroft, David Walsh, et al.. (1996). Spontaneous mutants recovered from liver and germ cell tissue of low copy number lacI transgenic rats. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 352(1-2). 73–78. 11 indexed citations
10.
Dycaico, Mark J., et al.. (1994). The use of shuttle vectors for mutation analysis in transgenic mice and rats. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 307(2). 461–478. 165 indexed citations
11.
Geller, Stephen A., W. Stephen Nichols, Stephen Lee, et al.. (1994). Hepatocarcinogenesis is the sequel to hepatitis in Z#2 α1-antitrypsin transgenic mice: Histopathological and DNA ploidy studies. Hepatology. 19(2). 389–397. 55 indexed citations
12.
Provost, Gabrielle S. Le, et al.. (1993). Transgenic systems for in vivo mutation analysis. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 288(1). 133–149. 146 indexed citations
13.
Kohler, Steven W., et al.. (1990). Development of a short-term,in vivomutagenesis assay: the effects of methylation on the recovery of a lambda phage shuttle vector from transgenic mice. Nucleic Acids Research. 18(10). 3007–3007. 106 indexed citations
14.
Geller, Stephen A., Stephen Nichols, Mark J. Dycaico, Katherine A. Felts, & Joseph A. Sorge. (1990). Histopathology of α1–Antitrypsin Liver Disease in A Transgenic Mouse Model. Hepatology. 12(1). 40–47. 29 indexed citations
15.
Dycaico, Mark J., Seth G. N. Grant, Katherine A. Felts, et al.. (1988). Neonatal Hepatitis Induced by α 1 -Antitrypsin: a Transgenic Mouse Model. Science. 242(4884). 1409–1412. 108 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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