Andrew Low

1.4k total citations
28 papers, 1.1k citations indexed

About

Andrew Low is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Andrew Low has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Virology and 7 papers in Immunology. Recurrent topics in Andrew Low's work include HIV Research and Treatment (11 papers), interferon and immune responses (5 papers) and HIV/AIDS drug development and treatment (4 papers). Andrew Low is often cited by papers focused on HIV Research and Treatment (11 papers), interferon and immune responses (5 papers) and HIV/AIDS drug development and treatment (4 papers). Andrew Low collaborates with scholars based in Australia, Canada and Germany. Andrew Low's co-authors include P. Richard Harrigan, Raymond S. Norton, Tobias Sing, Peter K. Cheung, Winnie Dong, Shenggen Yao, Sandra E. Nicholson, Catherine D. Carrillo, Burton W. Blais and Adam Koziol and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Bioinformatics.

In The Last Decade

Andrew Low

28 papers receiving 1.1k 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 Low Australia 17 531 466 392 238 145 28 1.1k
Aurélie Mousnier United Kingdom 22 338 0.6× 717 1.5× 458 1.2× 273 1.1× 144 1.0× 28 1.4k
Fatema Z. Chowdhury United States 12 465 0.9× 550 1.2× 482 1.2× 389 1.6× 141 1.0× 14 1.4k
Sonia Escaich France 22 331 0.6× 514 1.1× 259 0.7× 138 0.6× 140 1.0× 32 1.1k
Roger Badía Spain 22 509 1.0× 432 0.9× 386 1.0× 378 1.6× 232 1.6× 51 1.3k
David Schibli Canada 14 278 0.5× 1.4k 2.9× 175 0.4× 424 1.8× 113 0.8× 21 1.9k
Yossef Raviv United States 18 391 0.7× 501 1.1× 335 0.9× 173 0.7× 163 1.1× 27 1.2k
Gavan Holloway Australia 16 159 0.3× 252 0.5× 644 1.6× 221 0.9× 173 1.2× 26 1.1k
Mahmood Ghassemi United States 14 136 0.3× 313 0.7× 182 0.5× 144 0.6× 158 1.1× 36 821
Nicolas Tarbouriech France 25 304 0.6× 613 1.3× 319 0.8× 132 0.6× 671 4.6× 43 1.7k
Nicolas Mouz France 14 179 0.3× 385 0.8× 298 0.8× 161 0.7× 396 2.7× 23 1.1k

Countries citing papers authored by Andrew Low

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Low

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Low. A scholar is included among the top collaborators of Andrew Low 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 Low. Andrew Low 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.
2.
Low, Andrew, Adam Koziol, Matthew C. Thomas, et al.. (2020). Systematic Evaluation of Whole Genome Sequence-Based Predictions of Salmonella Serotype and Antimicrobial Resistance. Frontiers in Microbiology. 11. 549–549. 46 indexed citations
3.
4.
Dick, Kevin, Daniel Burnside, Houman Moteshareie, et al.. (2017). Designing anti-Zika virus peptides derived from predicted human-Zika virus protein-protein interactions. Computational Biology and Chemistry. 71. 180–187. 19 indexed citations
5.
Low, Andrew, Nicolas Rodrigue, & Alex Wong. (2017). COMPASS: the COMPletely Arbitrary Sequence Simulator. Bioinformatics. 33(19). 3101–3103. 1 indexed citations
6.
Zhang, Xuecheng, Christopher G. Adda, Andrew Low, et al.. (2012). Role of the Helical Structure of the N-Terminal Region of Plasmodium falciparum Merozoite Surface Protein 2 in Fibril Formation and Membrane Interaction. Biochemistry. 51(7). 1380–1387. 16 indexed citations
7.
Chandrashekaran, Indu R., et al.. (2011). The N‐terminal domains of SOCS proteins: A conserved region in the disordered N‐termini of SOCS4 and 5. Proteins Structure Function and Bioinformatics. 80(3). 946–957. 38 indexed citations
8.
Yang, Xiaodong, Christopher G. Adda, Christopher A. MacRaild, et al.. (2010). Identification of key residues involved in fibril formation by the conserved N-terminal region of Plasmodium falciparum merozoite surface protein 2 (MSP2). Biochimie. 92(10). 1287–1295. 14 indexed citations
9.
Swenson, Luke C., Andrew Low, Alexander Thielen, et al.. (2010). Improved Detection of CXCR4-Using HIV by V3 Genotyping: Application of Population-Based and “Deep” Sequencing to Plasma RNA and Proviral DNA. JAIDS Journal of Acquired Immune Deficiency Syndromes. 54(5). 506–510. 66 indexed citations
10.
Filippakopoulos, P., Andrew Low, Timothy Sharpe, et al.. (2010). Structural Basis for Par-4 Recognition by the SPRY Domain- and SOCS Box-Containing Proteins SPSB1, SPSB2, and SPSB4. Journal of Molecular Biology. 401(3). 389–402. 56 indexed citations
11.
Yao, Shenggen, James M. Murphy, Andrew Low, & Raymond S. Norton. (2010). 1H, 13C and 15N resonance assignments of a highly-soluble murine interleukin-3 analogue with wild-type bioactivity. Biomolecular NMR Assignments. 4(1). 73–77. 5 indexed citations
12.
Kuang, Zhihe, Rowena S. Lewis, Joan Curtis, et al.. (2010). The SPRY domain–containing SOCS box protein SPSB2 targets iNOS for proteasomal degradation. The Journal of Cell Biology. 190(1). 129–141. 77 indexed citations
13.
Low, Andrew, et al.. (2009). Trofile HIV co-receptor usage assay. Expert Opinion on Medical Diagnostics. 3(2). 181–191. 10 indexed citations
14.
Kuang, Zhihe, Shenggen Yao, Yibin Xu, et al.. (2009). SPRY Domain-Containing SOCS Box Protein 2: Crystal Structure and Residues Critical for Protein Binding. Journal of Molecular Biology. 386(3). 662–674. 40 indexed citations
15.
Low, Andrew, David Marchant, Chanson J. Brumme, et al.. (2008). CD4-Dependent Characteristics of Coreceptor Use and HIV Type 1 V3 Sequence in a Large Population of Therapy-Naive Individuals. AIDS Research and Human Retroviruses. 24(2). 219–228. 17 indexed citations
16.
Zhang, Xuecheng, Matthew A. Perugini, Shenggen Yao, et al.. (2008). Solution Conformation, Backbone Dynamics and Lipid Interactions of the Intrinsically Unstructured Malaria Surface Protein MSP2. Journal of Molecular Biology. 379(1). 105–121. 54 indexed citations
17.
Thielen, Alexander, Winnie Dong, Andrew Low, et al.. (2008). Improved Detection of X4 Virus by V3 Genotyping: Application to Plasma RNA and Proviral DNA. Max Planck Institute for Plasma Physics. 5 indexed citations
18.
Sander, Oliver, Tobias Sing, I. Sommer, et al.. (2007). Structural Descriptors of gp120 V3 Loop for the Prediction of HIV-1 Coreceptor Usage. PLoS Computational Biology. 3(3). e58–e58. 72 indexed citations
19.
Low, Andrew, Indu R. Chandrashekaran, Christopher G. Adda, et al.. (2007). Merozoite surface protein 2 of Plasmodium falciparum: Expression, structure, dynamics, and fibril formation of the conserved N‐terminal domain. Biopolymers. 87(1). 12–22. 38 indexed citations
20.
Low, Andrew, Winnie Dong, Dennison Chan, et al.. (2007). Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates. AIDS. 21(14). F17–F24. 119 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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