Chris Civalier

439 total citations
9 papers, 262 citations indexed

About

Chris Civalier is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Chris Civalier has authored 9 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Epidemiology. Recurrent topics in Chris Civalier's work include DNA Repair Mechanisms (2 papers), Neonatal Health and Biochemistry (2 papers) and Cancer Genomics and Diagnostics (2 papers). Chris Civalier is often cited by papers focused on DNA Repair Mechanisms (2 papers), Neonatal Health and Biochemistry (2 papers) and Cancer Genomics and Diagnostics (2 papers). Chris Civalier collaborates with scholars based in United States. Chris Civalier's co-authors include Bik‐Kwoon Tye, S Eisenberg, Margaret L. Gulley, Jessica K. Booker, Georgette A. Dent, Stuart Bentley, Mark E. Brecher, Karen E. Weck, Nathan D. Montgomery and Leslie G. Dodd and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Methods in enzymology on CD-ROM/Methods in enzymology and American Journal of Clinical Pathology.

In The Last Decade

Chris Civalier

9 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Civalier United States 8 144 60 48 42 34 9 262
Thomas Gribbin United States 8 118 0.8× 38 0.6× 39 0.8× 32 0.8× 59 1.7× 18 240
Richard Kirkman United States 11 221 1.5× 45 0.8× 46 1.0× 58 1.4× 46 1.4× 18 379
Julia Cockle United Kingdom 8 68 0.5× 67 1.1× 24 0.5× 36 0.9× 99 2.9× 13 274
Sai A. Patibandla United States 12 132 0.9× 59 1.0× 35 0.7× 16 0.4× 25 0.7× 18 348
Georgia Kontostathi Greece 13 195 1.4× 65 1.1× 66 1.4× 23 0.5× 34 1.0× 17 342
Klaus Hermann Wiedorn Germany 9 165 1.1× 55 0.9× 38 0.8× 52 1.2× 66 1.9× 17 301
Parameet Kumar United States 11 207 1.4× 47 0.8× 126 2.6× 69 1.6× 14 0.4× 16 340
Cathrine Fladeby Norway 9 189 1.3× 37 0.6× 21 0.4× 9 0.2× 9 0.3× 13 304
Lee Serpas United States 6 161 1.1× 20 0.3× 112 2.3× 19 0.5× 40 1.2× 11 357

Countries citing papers authored by Chris Civalier

Since Specialization
Citations

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

Fields of papers citing papers by Chris Civalier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Civalier. 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 Chris Civalier. The network helps show where Chris Civalier may publish in the future.

Co-authorship network of co-authors of Chris Civalier

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Civalier. A scholar is included among the top collaborators of Chris Civalier 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 Chris Civalier. Chris Civalier 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.
Treece, Amanda L., Nathan D. Montgomery, Nirali M. Patel, et al.. (2016). FNA smears as a potential source of DNA for targeted next‐generation sequencing of lung adenocarcinomas. Cancer Cytopathology. 124(6). 406–414. 54 indexed citations
2.
Civalier, Chris, et al.. (2009). UGT1A1 Promoter Genotype is not Strongly Associated With Severity of Coronary Artery Disease. Diagnostic Molecular Pathology. 18(4). 226–231. 5 indexed citations
3.
Thorne, Leigh B., Chris Civalier, Jessica K. Booker, Hongxin Fan, & Margaret L. Gulley. (2007). Analytic Validation of a Quantitative Real-time PCR Assay to Measure CMV Viral Load in Whole Blood. Diagnostic Molecular Pathology. 16(2). 73–80. 8 indexed citations
5.
Chaing, Shu, Cynthia M. Powell, Arthur S. Aylsworth, et al.. (2006). Diagnosis of Human Congenital Cytomegalovirus Infection by Amplification of Viral DNA from Dried Blood Spots on Perinatal Cards. Journal of Molecular Diagnostics. 8(2). 240–245. 44 indexed citations
6.
Dent, Georgette A., Chris Civalier, Mark E. Brecher, & Stuart Bentley. (1999). MUC1Expression in Hematopoietic Tissues. American Journal of Clinical Pathology. 111(6). 741–747. 46 indexed citations
7.
Coleman, William B., Karen D. McCullough, Chris Civalier, et al.. (1995). Suppression of the tumorigenic phenotype of a rat liver epithelial tumor cell line by the p11.2–p12 region of human chromosome 11. Molecular Carcinogenesis. 13(4). 220–232. 13 indexed citations
8.
Eisenberg, Shlomo, Stephen C. Francesconi, Chris Civalier, & Scott S. Walker. (1990). [39] Purification of DNA-binding proteins by site-specific DNA affinity chromatography. Methods in enzymology on CD-ROM/Methods in enzymology. 182. 521–529. 15 indexed citations
9.
Eisenberg, S, Chris Civalier, & Bik‐Kwoon Tye. (1988). Specific interaction between a Saccharomyces cerevisiae protein and a DNA element associated with certain autonomously replicating sequences.. Proceedings of the National Academy of Sciences. 85(3). 743–746. 67 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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