Andrew Slack

1.8k total citations
21 papers, 1.5k citations indexed

About

Andrew Slack is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Andrew Slack has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Neurology. Recurrent topics in Andrew Slack's work include Epigenetics and DNA Methylation (9 papers), Cancer-related Molecular Pathways (6 papers) and Neuroblastoma Research and Treatments (5 papers). Andrew Slack is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Cancer-related Molecular Pathways (6 papers) and Neuroblastoma Research and Treatments (5 papers). Andrew Slack collaborates with scholars based in United States, Canada and Australia. Andrew Slack's co-authors include Susan M. Rosenberg, Jason M. Shohet, Moshe Szyf, Zaowen Chen, P. J. Hastings, Philip A. Hastings, Marc Pinard, Nadia Cervoni, P. C. Thornton and L. Hunt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Andrew Slack

21 papers receiving 1.4k 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 Slack United States 18 1.1k 369 320 290 254 21 1.5k
S Arai Japan 12 950 0.9× 525 1.4× 58 0.2× 158 0.5× 30 0.1× 26 1.2k
Serena Giovinazzi United States 13 539 0.5× 256 0.7× 67 0.2× 71 0.2× 95 0.4× 16 733
Tiffany Huang United States 19 530 0.5× 141 0.4× 257 0.8× 22 0.1× 195 0.8× 31 1.0k
Prabhakara P. Reddi United States 20 695 0.7× 63 0.2× 289 0.9× 166 0.6× 39 0.2× 45 1.3k
Alexandra Martins Portugal 23 1.2k 1.2× 149 0.4× 474 1.5× 11 0.0× 126 0.5× 74 1.8k
Stanley Friedman United States 18 842 0.8× 76 0.2× 386 1.2× 14 0.0× 58 0.2× 28 1.4k
Hyunsuk Suh United States 18 846 0.8× 43 0.1× 245 0.8× 18 0.1× 111 0.4× 38 1.4k
Salvatore Metafora Italy 23 693 0.7× 50 0.1× 90 0.3× 24 0.1× 88 0.3× 82 1.4k
Deog Su Hwang South Korea 23 1.3k 1.2× 95 0.3× 501 1.6× 7 0.0× 248 1.0× 40 1.5k
Anders Sundström Sweden 11 349 0.3× 76 0.2× 34 0.1× 57 0.2× 67 0.3× 19 554

Countries citing papers authored by Andrew Slack

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Slack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Slack

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Slack. A scholar is included among the top collaborators of Andrew Slack 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 Slack. Andrew Slack 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.
Slack, Andrew, et al.. (2018). Activity of Ceftolozane–Tazobactam against Burkholderia pseudomallei. American Journal of Tropical Medicine and Hygiene. 99(2). 281–282. 4 indexed citations
2.
Doan, Tan, et al.. (2017). Interferon-gamma release assay for the diagnosis of latent tuberculosis infection: A latent-class analysis. PLoS ONE. 12(11). e0188631–e0188631. 58 indexed citations
3.
Hastings, P. J., Megan N. Hersh, P. C. Thornton, et al.. (2010). Competition of Escherichia coli DNA Polymerases I, II and III with DNA Pol IV in Stressed Cells. PLoS ONE. 5(5). e10862–e10862. 40 indexed citations
4.
Wei, Jun S., Young Song, Steffen Durinck, et al.. (2008). The MYCN oncogene is a direct target of miR-34a. Oncogene. 27(39). 5204–5213. 232 indexed citations
5.
Slack, Andrew, Zaowen Chen, Andrew D. Ludwig, John Hicks, & Jason M. Shohet. (2007). MYCN-Directed Centrosome Amplification Requires MDM2-Mediated Suppression of p53 Activity in Neuroblastoma Cells. Cancer Research. 67(6). 2448–2455. 28 indexed citations
6.
Slack, Andrew, P. C. Thornton, Daniel B. Magner, Susan M. Rosenberg, & P. J. Hastings. (2006). On the Mechanism of Gene Amplification Induced under Stress in Escherichia coli. PLoS Genetics. 2(4). e48–e48. 129 indexed citations
7.
Slack, Andrew & Jason M. Shohet. (2005). MDM2 as a Critical Effector of the MYCN Oncogene in Tumorigenesis. Cell Cycle. 4(7). 857–860. 17 indexed citations
8.
Slack, Andrew, Guillermina Lozano, & Jason M. Shohet. (2005). MDM2 as MYCN transcriptional target: Implications for neuroblastoma pathogenesis. Cancer Letters. 228(1-2). 21–27. 21 indexed citations
9.
Slack, Andrew, Zaowen Chen, Roberto Tonelli, et al.. (2005). The p53 regulatory geneMDM2is a direct transcriptional target of MYCN in neuroblastoma. Proceedings of the National Academy of Sciences. 102(3). 731–736. 183 indexed citations
10.
Hastings, Philip A., Susan M. Rosenberg, & Andrew Slack. (2004). Antibiotic-induced lateral transfer of antibiotic resistance. Trends in Microbiology. 12(9). 401–404. 135 indexed citations
11.
Hastings, P. J., Andrew Slack, Joseph F. Petrosino, & Susan M. Rosenberg. (2004). Adaptive Amplification and Point Mutation Are Independent Mechanisms: Evidence for Various Stress-Inducible Mutation Mechanisms. PLoS Biology. 2(12). e399–e399. 70 indexed citations
12.
Slack, Andrew, Veronica Bovenzi, Pascal Bigey, et al.. (2002). Antisense MBD2 gene therapy inhibits tumorigenesis. The Journal of Gene Medicine. 4(4). 381–389. 44 indexed citations
13.
Pakneshan, Pouya, et al.. (2002). Regulation of DNA Methylation in Human Breast Cancer. Journal of Biological Chemistry. 277(44). 41571–41579. 101 indexed citations
14.
Slack, Andrew, Marc Pinard, Felipe D. Araujo, & Moshe Szyf. (2001). A novel regulatory element in the dnmt1 gene that responds to co-activation by Rb and c-Jun. Gene. 268(1-2). 87–96. 14 indexed citations
15.
Araujo, Felipe D., Sylvie Croteau, Andrew Slack, et al.. (2001). The DNMT1 Target Recognition Domain Resides in the N Terminus. Journal of Biological Chemistry. 276(10). 6930–6936. 44 indexed citations
16.
Knox, J. David, Felipe D. Araujo, Pascal Bigey, et al.. (2000). Inhibition of DNA Methyltransferase Inhibits DNA Replication. Journal of Biological Chemistry. 275(24). 17986–17990. 69 indexed citations
17.
Szyf, Moshe & Andrew Slack. (2000). Mechanisms of Epigenetic Silencing of theC21Gene in Y1 Adrenocortical Tumor Cells. Endocrine Research. 26(4). 921–930. 5 indexed citations
18.
Szyf, Moshe, et al.. (2000). How Does DNA Methyltransferase Cause Oncogenic Transformation?. Annals of the New York Academy of Sciences. 910(1). 156–177. 27 indexed citations
19.
Slack, Andrew, Nadia Cervoni, Marc Pinard, & Moshe Szyf. (1999). DNA Methyltransferase Is a Downstream Effector of Cellular Transformation Triggered by Simian Virus 40 Large T Antigen. Journal of Biological Chemistry. 274(15). 10105–10112. 76 indexed citations
20.
Slack, Andrew, Nadia Cervoni, Marc Pinard, & Moshe Szyf. (1999). Feedback regulation of DNA methyltransferase gene expression by methylation. European Journal of Biochemistry. 264(1). 191–199. 46 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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