Andrew Dunn

1.5k total citations · 1 hit paper
17 papers, 968 citations indexed

About

Andrew Dunn is a scholar working on Molecular Biology, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Andrew Dunn has authored 17 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Biomedical Engineering and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Andrew Dunn's work include Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Building Energy and Comfort Optimization (2 papers) and Single-cell and spatial transcriptomics (2 papers). Andrew Dunn is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Building Energy and Comfort Optimization (2 papers) and Single-cell and spatial transcriptomics (2 papers). Andrew Dunn collaborates with scholars based in United States, China and Japan. Andrew Dunn's co-authors include Donglu Shi, M.E. Sadat, David Mast, Rodney C. Ewing, Hong Xu, Vladimir V. Kalinichenko, Giovanni M. Pauletti, Hans Wägner, Masaki Kimura and Wendy L. Thompson and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Applied Physics Letters.

In The Last Decade

Andrew Dunn

16 papers receiving 954 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Fidelity Drug-Induced Liver Injury Screen Using Human Pluripotent Stem Cell–Derived Organoids

2020 250 citations Tadahiro Shinozawa, Masaki Kimura et al. Gastroenterology profile →

Peers

Andrew Dunn

BIOMA

RESE

Byung Kook Kwak South Korea

Tongyi Huang China

Omar Johnson United States

Thomas Nielsen Denmark

Xupeng Yang China

Ju Jiao China

Katayoun Saatchi Canada

Jens Pinkernelle Germany

Jia Yang China

Byung Kook Kwak South Korea

Andrew Dunn

307 ×0.9

144 ×0.5

172 ×0.9

308 ×1.9

BIOMA

137 ×1.0

RESE

Citations per year, relative to Andrew Dunn Andrew Dunn (= 1×) peers Byung Kook Kwak

Countries citing papers authored by Andrew Dunn

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Dunn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Dunn

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

All Works

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17 of 17 papers shown

Dunn, Andrew, Yuqi Cai, Kentaro Iwasawa, Masaki Kimura, & Takanori Takebe. (2021). POLYseq: A poly(β-amino ester)-based vector for multifunctional cellular barcoding. Stem Cell Reports. 16(9). 2149–2158. 2 indexed citations

Dunn, Andrew, Yuqi Cai, Kentaro Iwasawa, Masaki Kimura, & Takanori Takebe. (2021). Synthesis and application of POLYseq for profiling human liver organoids. STAR Protocols. 2(4). 100976–100976.

Sun, Fei, Guolun Wang, Arun Pradhan, et al.. (2021). Nanoparticle Delivery of STAT3 Alleviates Pulmonary Hypertension in a Mouse Model of Alveolar Capillary Dysplasia. Circulation. 144(7). 539–555. 36 indexed citations

Dequéant, Mary‐Lee, Jason Sagert, Hui Yu, et al.. (2021). Abstract 1537: CD70 knockout: A novel approach to augment CAR-T cell function. Cancer Research. 81(13_Supplement). 1537–1537. 4 indexed citations

Bolte, Craig, Vladimir Ustiyan, Xiaomeng Ren, et al.. (2020). Nanoparticle Delivery of Proangiogenic Transcription Factors into the Neonatal Circulation Inhibits Alveolar Simplification Caused by Hyperoxia. American Journal of Respiratory and Critical Care Medicine. 202(1). 100–111. 46 indexed citations

Shinozawa, Tadahiro, Masaki Kimura, Yuqi Cai, et al.. (2020). High-Fidelity Drug-Induced Liver Injury Screen Using Human Pluripotent Stem Cell–Derived Organoids. Gastroenterology. 160(3). 831–846.e10. 250 indexed citations breakdown →

Pradhan, Arun, Andrew Dunn, Vladimir Ustiyan, et al.. (2019). The S52F FOXF1 Mutation Inhibits STAT3 Signaling and Causes Alveolar Capillary Dysplasia. American Journal of Respiratory and Critical Care Medicine. 200(8). 1045–1056. 55 indexed citations

Zhao, Yuan, Andrew Dunn, & Donglu Shi. (2019). Effective reduction of building heat loss without insulation materials via the photothermal effect of a chlorophyll thin film coated “Green Window”. MRS Communications. 9(2). 675–681. 20 indexed citations

Sadat, M.E., et al.. (2019). Effects of Nanoscale Structures on Photothermal Heating Behaviors of Surface-Modified Fe₃O₄ Nanoparticles. Nano LIFE. 9(01n02). 1950001–1950001. 3 indexed citations

10.

Dunn, Andrew, Vladimir V. Kalinichenko, & Donglu Shi. (2018). Highly Efficient In Vivo Targeting of the Pulmonary Endothelium Using Novel Modifications of Polyethylenimine: An Importance of Charge. Advanced Healthcare Materials. 7(23). e1800876–e1800876. 49 indexed citations

11.

Dunn, Andrew & Donglu Shi. (2017). Polymeric Vectors for Strategic Delivery of Nucleic Acids. Nano LIFE. 7(2). 1730003–1730003. 3 indexed citations

12.

Dunn, Andrew, David Mast, Giovanni M. Pauletti, et al.. (2016). In-vitro depth-dependent hyperthermia of human mammary gland adenocarcinoma. Materials Science and Engineering C. 69. 12–16. 7 indexed citations

13.

Zhao, Yuan, M.E. Sadat, Andrew Dunn, et al.. (2016). Photothermal effect on Fe3O4 nanoparticles irradiated by white-light for energy-efficient window applications. Solar Energy Materials and Solar Cells. 161. 247–254. 69 indexed citations

14.

Shi, Donglu, M.E. Sadat, Andrew Dunn, & David Mast. (2015). Photo-fluorescent and magnetic properties of iron oxide nanoparticles for biomedical applications. Nanoscale. 7(18). 8209–8232. 199 indexed citations

15.

Dunn, Andrew, David Mast, Giovanni M. Pauletti, et al.. (2014). Photothermal effects and toxicity of Fe3O4 nanoparticles via near infrared laser irradiation for cancer therapy. Materials Science and Engineering C. 46. 97–102. 32 indexed citations

16.

Sadat, M.E., Andrew Dunn, Hans Wägner, et al.. (2014). Photoluminescence and photothermal effect of Fe3O4 nanoparticles for medical imaging and therapy. Applied Physics Letters. 105(9). 156 indexed citations

17.

Stauffer, Daniel, Bill H. Chang, Jing Huang, Andrew Dunn, & Mathew J. Thayer. (2007). p300/CREB-binding Protein Interacts with ATR and Is Required for the DNA Replication Checkpoint. Journal of Biological Chemistry. 282(13). 9678–9687. 37 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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