Andrew Reilly

2.3k total citations
55 papers, 1.7k citations indexed

About

Andrew Reilly is a scholar working on Molecular Biology, Immunology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Andrew Reilly has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Immunology and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Andrew Reilly's work include Toxic Organic Pollutants Impact (5 papers), RNA and protein synthesis mechanisms (4 papers) and Diabetes and associated disorders (3 papers). Andrew Reilly is often cited by papers focused on Toxic Organic Pollutants Impact (5 papers), RNA and protein synthesis mechanisms (4 papers) and Diabetes and associated disorders (3 papers). Andrew Reilly collaborates with scholars based in United States, Netherlands and Poland. Andrew Reilly's co-authors include Charles E. Lawrence, Gary M. Winslow, Frederick K. Chu, Patrick J. Parsons, Eric J. Yager, Xinxin Ding, Simon D. Spivack, Debra Esernio‐Jenssen, Ronald Bellisario and Kenneth A. Pass and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American Statistical Association and The Journal of Immunology.

In The Last Decade

Andrew Reilly

55 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Reilly United States 22 715 229 219 215 186 55 1.7k
Federico Goodsaid United States 25 1.1k 1.6× 227 1.0× 65 0.3× 224 1.0× 109 0.6× 60 2.3k
Guohong Zhang China 29 1.7k 2.4× 360 1.6× 352 1.6× 280 1.3× 382 2.1× 136 3.4k
Libo Wang China 29 1.2k 1.7× 418 1.8× 353 1.6× 134 0.6× 282 1.5× 124 3.2k
Masahiro Nakao Japan 35 1.4k 2.0× 58 0.3× 103 0.5× 403 1.9× 141 0.8× 144 3.6k
Claudia Rangel‐Escareño Mexico 20 642 0.9× 208 0.9× 98 0.4× 123 0.6× 119 0.6× 68 1.4k
Hongying Jiang China 21 540 0.8× 233 1.0× 175 0.8× 97 0.5× 138 0.7× 70 1.7k
Marie Nguyen United States 11 647 0.9× 147 0.6× 49 0.2× 109 0.5× 98 0.5× 13 1.5k
Hae‐Won Uh Netherlands 27 923 1.3× 398 1.7× 103 0.5× 240 1.1× 135 0.7× 64 2.0k
Javier Regadera Spain 27 829 1.2× 145 0.6× 44 0.2× 368 1.7× 194 1.0× 108 2.2k
Jia‐Ming Chang Taiwan 28 2.0k 2.7× 161 0.7× 51 0.2× 303 1.4× 182 1.0× 78 3.1k

Countries citing papers authored by Andrew Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Reilly

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

All Works

20 of 20 papers shown
1.
Carlyn, Cynthia J., et al.. (2015). Analysis of septic biomarker patterns: prognostic value in predicting septic state. Diagnostic Microbiology and Infectious Disease. 83(3). 312–318. 12 indexed citations
2.
Ramsingh, Arlene I., Kevin Manley, Yinghui Rong, Andrew Reilly, & Anne Messer. (2015). Transcriptional dysregulation of inflammatory/immune pathways after active vaccination against Huntington′s disease. Human Molecular Genetics. 24(21). 6186–6197. 20 indexed citations
3.
Brown, Claire M., Andrew Reilly, & Richard W. Cole. (2015). A Quantitative Measure of Field Illumination. Journal of Biomolecular Techniques JBT. 26(2). 37–44. 14 indexed citations
4.
Zhang, Yubin, Donghong Gao, Kerri Kluetzman, et al.. (2013). The maternal autoimmune environment affects the social behavior of offspring. Journal of Neuroimmunology. 258(1-2). 51–60. 36 indexed citations
5.
6.
Habura, Andrea, Yubo Hou, Andrew Reilly, & Samuel S. Bowser. (2011). High-throughput sequencing of Astrammina rara: Sampling the giant genome of a giant foraminiferan protist. BMC Genomics. 12(1). 169–169. 10 indexed citations
7.
Bessette, Erin E., Michael J. Fasco, Brian T. Pentecost, Andrew Reilly, & Laurence S. Kaminsky. (2009). Investigations of the posttranslational mechanism of arsenite‐mediated downregulation of human cytochrome P4501A1 levels: The role of heme oxygenase‐1. Journal of Biochemical and Molecular Toxicology. 23(3). 222–232. 15 indexed citations
8.
Gu, Rui, et al.. (2009). IL-10 is pathogenic during the development of coxsackievirus B4-induced chronic pancreatitis. Virology. 395(1). 77–86. 13 indexed citations
9.
Han, Weiguo, Tao Wang, Andrew Reilly, Steven M. Keller, & Simon D. Spivack. (2009). Gene promoter methylation assayed in exhaled breath, with differences in smokers and lung cancer patients. Respiratory Research. 10(1). 86–86. 45 indexed citations
10.
Parker, Monica M., Andrew Reilly, Harold W. Horowitz, et al.. (2007). Prevalence of Drug-Resistant and Nonsubtype B HIV Strains in Antiretroviral-Naïve, HIV-Infected Individuals in New York State. AIDS Patient Care and STDs. 21(9). 644–652. 16 indexed citations
11.
Weng, Yan, Concetta Dirusso, Andrew Reilly, Paul N. Black, & Xinxin Ding. (2005). Hepatic Gene Expression Changes in Mouse Models with Liver-specific Deletion or Global Suppression of the NADPH-Cytochrome P450 Reductase Gene. Journal of Biological Chemistry. 280(36). 31686–31698. 63 indexed citations
12.
13.
Kim, Dong‐Soo, Andrew Reilly, & David A. Lawrence. (2001). Relationships between IFNγ, IL-6, Corticosterone, and Listeria monocytogenes Pathogenesis in BALB/c Mice. Cellular Immunology. 207(1). 13–18. 18 indexed citations
14.
Reilly, Andrew, et al.. (2000). Intercellular Transfer of a Soluble Viral Superantigen. Journal of Virology. 74(18). 8262–8267. 5 indexed citations
15.
Walker, Vernon E., Irene M. Jones, Tawni L. Crippen, et al.. (1999). Relationships between exposure, cell loss and proliferation, and manifestation of Hprt mutant T cells following treatment of preweanling, weanling, and adult male mice with N-ethyl-N-nitrosourea. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 431(2). 371–388. 33 indexed citations
16.
17.
Meng, Quanxin, Rogene F. Henderson, Tao Chen, et al.. (1999). Mutagenicity of 1,3-butadiene at the Hprt locus of T-lymphocytes following inhalation exposures of female mice and rats. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 429(1). 107–125. 25 indexed citations
18.
Taylor, Philip R., et al.. (1991). Estimating serum polychlorinated biphenyl levels in highly exposed workers: An empirical model. Journal of Toxicology and Environmental Health. 34(4). 413–422. 7 indexed citations
19.
Lawrence, Charles E. & Andrew Reilly. (1990). An expectation maximization (EM) algorithm for the identification and characterization of common sites in unaligned biopolymer sequences. Proteins Structure Function and Bioinformatics. 7(1). 41–51. 348 indexed citations
20.

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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