Andrew S. Cutting

1.2k total citations · 1 hit paper
7 papers, 904 citations indexed

About

Andrew S. Cutting is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Ecology. According to data from OpenAlex, Andrew S. Cutting has authored 7 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Ecology. Recurrent topics in Andrew S. Cutting's work include Glycosylation and Glycoproteins Research (3 papers), Bacteriophages and microbial interactions (2 papers) and Neonatal Health and Biochemistry (2 papers). Andrew S. Cutting is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Bacteriophages and microbial interactions (2 papers) and Neonatal Health and Biochemistry (2 papers). Andrew S. Cutting collaborates with scholars based in United States and Germany. Andrew S. Cutting's co-authors include Kelly S. Doran, Jeremy J. Barr, Marcella L. Erb, Mike Furlan, Peter Salamon, Aleksandr Stotland, Merry Youle, Forest Rohwer, Joe Pogliano and Roland Wolkowicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Andrew S. Cutting

7 papers receiving 892 citations

Hit Papers

Bacteriophage adhering to mucus provide a non–host-derive... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew S. Cutting United States 5 490 385 204 150 146 7 904
R. Curtis Hendrickson United States 13 300 0.6× 434 1.1× 345 1.7× 69 0.5× 428 2.9× 21 1.4k
Andrew R. Moorhead United States 18 400 0.8× 186 0.5× 523 2.6× 130 0.9× 74 0.5× 45 1.0k
David W. Hilbert United States 18 391 0.8× 729 1.9× 145 0.7× 268 1.8× 240 1.6× 37 1.4k
Wan‐Zhong Jia China 20 375 0.8× 229 0.6× 221 1.1× 29 0.2× 84 0.6× 99 1.2k
Yudong Qian United States 6 117 0.2× 555 1.4× 212 1.0× 103 0.7× 250 1.7× 7 1.3k
Kevin Lamkiewicz Germany 8 130 0.3× 612 1.6× 147 0.7× 46 0.3× 45 0.3× 17 921
Robert A. Petit United States 14 89 0.2× 434 1.1× 325 1.6× 59 0.4× 84 0.6× 34 744
Deborah A. Ribardo United States 15 145 0.3× 330 0.9× 227 1.1× 37 0.2× 44 0.3× 24 875
Bernd H. Kalinna Australia 23 565 1.2× 311 0.8× 191 0.9× 21 0.1× 68 0.5× 51 1.4k
Eugene E. Kulikov Russia 18 809 1.7× 488 1.3× 200 1.0× 240 1.6× 61 0.4× 64 1.1k

Countries citing papers authored by Andrew S. Cutting

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Cutting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew S. Cutting

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

All Works

7 of 7 papers shown
1.
Mu, Rong, et al.. (2016). Identification of CiaR Regulated Genes That Promote Group B Streptococcal Virulence and Interaction with Brain Endothelial Cells. PLoS ONE. 11(4). e0153891–e0153891. 17 indexed citations
2.
Cutting, Andrew S., Rong Mu, Anthony Rodriguez, et al.. (2014). The Role of Autophagy during Group B Streptococcus Infection of Blood-Brain Barrier Endothelium. Journal of Biological Chemistry. 289(52). 35711–35723. 52 indexed citations
3.
Barr, Jeremy J., Mike Furlan, Katrine Whiteson, et al.. (2013). Bacteriophage adhered to mucus provide a novel mucosal immune system (P3166). The Journal of Immunology. 190(Supplement_1). 61.8–61.8. 2 indexed citations
4.
Barr, Jeremy J., Mike Furlan, Katrine Whiteson, et al.. (2013). Bacteriophage adhering to mucus provide a non–host-derived immunity. Proceedings of the National Academy of Sciences. 110(26). 10771–10776. 660 indexed citations breakdown →
5.
Banerjee, Anirban, Brandon J. Kim, Andrew S. Cutting, et al.. (2011). Bacterial Pili exploit integrin machinery to promote immune activation and efficient blood-brain barrier penetration. Nature Communications. 2(1). 462–462. 105 indexed citations
6.
Malotte, C. Kevin, et al.. (2011). P2-S8.12 Feasibility of using cell phones for daily data collection within adolescent cohort studies. Sexually Transmitted Infections. 87(Suppl 1). A260.2–A261. 1 indexed citations
7.
Chen, Pei-Lung, Dimitrios Avramopoulos, Virginia K. Lasseter, et al.. (2009). Fine Mapping on Chromosome 10q22-q23 Implicates Neuregulin 3 in Schizophrenia. The American Journal of Human Genetics. 84(1). 21–34. 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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