Andrew S. Dixon

2.3k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

Andrew S. Dixon is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Andrew S. Dixon has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Genetics. Recurrent topics in Andrew S. Dixon's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Andrew S. Dixon is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Andrew S. Dixon collaborates with scholars based in United States, Ireland and Germany. Andrew S. Dixon's co-authors include Marie K. Schwinn, Brock F. Binkowski, Thomas Machleidt, Kris Zimmerman, Keith V. Wood, Mary P. Hall, Lance P. Encell, Christopher T. Eggers, Paul Otto and Monika G. Wood and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Andrew S. Dixon

19 papers receiving 1.4k citations

Hit Papers

NanoLuc Complementation R... 2015 2026 2018 2022 2015 250 500 750

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. Dixon United States 13 1.1k 179 178 150 145 20 1.5k
Robin Hurst United States 17 848 0.8× 101 0.6× 252 1.4× 149 1.0× 97 0.7× 34 1.1k
Xue Pei United Kingdom 20 1.0k 1.0× 208 1.2× 100 0.6× 67 0.4× 87 0.6× 31 1.8k
Jiahai Shi Hong Kong 27 2.0k 1.9× 144 0.8× 208 1.2× 284 1.9× 71 0.5× 78 2.9k
Julius Müller United Kingdom 26 1.6k 1.5× 258 1.4× 84 0.5× 93 0.6× 52 0.4× 54 2.2k
Wenjun Mo United States 18 933 0.9× 117 0.7× 219 1.2× 60 0.4× 105 0.7× 25 1.5k
Evangelia Livaniou Greece 25 612 0.6× 164 0.9× 79 0.4× 184 1.2× 231 1.6× 87 1.6k
Fernando S. Santiago Australia 23 1.2k 1.2× 180 1.0× 123 0.7× 86 0.6× 24 0.2× 33 1.9k
Douglas Brown United States 20 1.1k 1.1× 154 0.9× 139 0.8× 82 0.5× 44 0.3× 29 1.8k
Paul A. Colussi United States 20 1.5k 1.4× 114 0.6× 156 0.9× 126 0.8× 128 0.9× 28 1.8k
Myung Kyu Lee South Korea 20 892 0.8× 147 0.8× 51 0.3× 74 0.5× 59 0.4× 49 1.4k

Countries citing papers authored by Andrew S. Dixon

Since Specialization
Citations

This map shows the geographic impact of Andrew S. Dixon'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. Dixon 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. Dixon more than expected).

Fields of papers citing papers by Andrew S. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Dixon. A scholar is included among the top collaborators of Andrew S. Dixon 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. Dixon. Andrew S. Dixon 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.
Kim, Sun Jin, Andrew S. Dixon, & Shawn C. Owen. (2021). Split-enzyme immunoassay to monitor EGFR-HER2 heterodimerization on cell surfaces. Acta Biomaterialia. 135. 225–233. 7 indexed citations
2.
Kim, Sun Jin, et al.. (2021). Homogeneous Immunoassay Using a Tri-Part Split-Luciferase for Rapid Quantification of Anti-TNF Therapeutic Antibodies. ACS Sensors. 6(5). 1807–1814. 21 indexed citations
3.
Kim, Sun Jin, et al.. (2019). Split‐enzyme fragment as a single affinity tag that enables protein expression, purification, and functional assays. Biotechnology and Bioengineering. 116(7). 1575–1583. 3 indexed citations
4.
Radford, D. Christopher, Jiyuan Yang, Lian Li, et al.. (2019). Multivalent HER2-binding polymer conjugates facilitate rapid endocytosis and enhance intracellular drug delivery. Journal of Controlled Release. 319. 285–299. 42 indexed citations
5.
Dixon, Andrew S., et al.. (2017). A Tri-part Protein Complementation System Using Antibody-Small Peptide Fusions Enables Homogeneous Immunoassays. Scientific Reports. 7(1). 8186–8186. 29 indexed citations
6.
Schwinn, Marie K., Thomas Machleidt, Kris Zimmerman, et al.. (2017). CRISPR-Mediated Tagging of Endogenous Proteins with a Luminescent Peptide. ACS Chemical Biology. 13(2). 467–474. 262 indexed citations
7.
Dixon, Andrew S., Marie K. Schwinn, Mary P. Hall, et al.. (2015). NanoLuc Complementation Reporter Optimized for Accurate Measurement of Protein Interactions in Cells. ACS Chemical Biology. 11(2). 400–408. 904 indexed citations breakdown →
8.
Dixon, Andrew S., et al.. (2013). A Chimeric p53 Evades Mutant p53 Transdominant Inhibition in Cancer Cells. Molecular Pharmaceutics. 10(10). 3922–3933. 18 indexed citations
9.
Dixon, Andrew S., Jonathan E. Constance, Tomoyuki Tanaka, Terence H. Rabbitts, & Carol S. Lim. (2011). Changing the Subcellular Location of the Oncoprotein Bcr-Abl Using Rationally Designed Capture Motifs. Pharmaceutical Research. 29(4). 1098–1109. 13 indexed citations
10.
Dixon, Andrew S., Benjamin Bruno, David W. Woessner, et al.. (2011). Disruption of Bcr-Abl Coiled Coil Oligomerization by Design. Journal of Biological Chemistry. 286(31). 27751–27760. 31 indexed citations
11.
Dixon, Andrew S., Geoffrey D. Miller, Benjamin Bruno, et al.. (2011). Improved Coiled-Coil Design Enhances Interaction with Bcr-Abl and Induces Apoptosis. Molecular Pharmaceutics. 9(1). 187–195. 21 indexed citations
12.
Dixon, Andrew S. & Carol S. Lim. (2010). The Nuclear Translocation Assay for Intracellular Protein-Protein Interactions and its Application to the Bcr Coiled-Coil Domain. BioTechniques. 49(1). 519–524. 13 indexed citations
13.
Dixon, Andrew S., et al.. (2010). Controlling Subcellular Delivery to Optimize Therapeutic Effect. Therapeutic Delivery. 1(1). 169–193. 45 indexed citations
14.
Dixon, Andrew S., et al.. (2009). Controlling subcellular localization to alter function: Sending oncogenic Bcr–Abl to the nucleus causes apoptosis. Journal of Controlled Release. 140(3). 245–249. 20 indexed citations
16.
OBrien, Eugene J. & Andrew S. Dixon. (1997). Optimal plastic design of pitched roof frames for multiple loading. Computers & Structures. 64(1-4). 737–740. 8 indexed citations
17.
OBrien, Eugene J., et al.. (1995). Reinforced and Prestressed Concrete Design: The Complete Process. Medical Entomology and Zoology. 16 indexed citations
18.
OBrien, Eugene J. & Andrew S. Dixon. (1993). ALGEBRAIC LINEAR PROGRAMMING APPLIED TO OPTIMAL PLASTIC DESIGN OF STEEL PORTAL FRAMES. Engineering Optimization. 21(3). 175–195. 1 indexed citations
19.
Kuhnert, Paul M., Penny Erhard, Andrew S. Dixon, Betty R. Kuhnert, & Thomas L. Gross. (1983). Determination of Ritodrine in Plasma Using HPLC. Journal of Liquid Chromatography. 6(14). 2775–2783. 5 indexed citations
20.
Dixon, Andrew S.. (1951). PROTEIN SHOCK FROM INTRAVENOUS A.C.T.H.. The Lancet. 258(6683). 593–594.

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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