David Butler

5.7k total citations · 1 hit paper
78 papers, 3.2k citations indexed

About

David Butler is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, David Butler has authored 78 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Epidemiology and 15 papers in Physiology. Recurrent topics in David Butler's work include Alzheimer's disease research and treatments (10 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nonmelanoma Skin Cancer Studies (6 papers). David Butler is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nonmelanoma Skin Cancer Studies (6 papers). David Butler collaborates with scholars based in United States, United Kingdom and Canada. David Butler's co-authors include Ben A. Bahr, Jason Birkett, Bertha K. Madras, Peter C. Meltzer, Jeffrey R. Deschamps, Kallanthottathil G. Rajeev, Muthiah Manoharan, Martin A. Maier, Stephen J. Friedman and Ismail M. Hafez and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and The FASEB Journal.

In The Last Decade

David Butler

73 papers receiving 3.1k citations

Hit Papers

Maximizing the Potency of siRNA Lipid Nanoparticles for H... 2012 2026 2016 2021 2012 250 500 750
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.

  1. Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo**
    2012 973 citations Muthusamy Jayaraman, Steven M. Ansell et al. Angewandte Chemie International Edition profile →

Peers

David Butler
Atsushi Hirano Japan
Sang‐Hee Lee South Korea
Claudio Arra Italy
Benjamin Sredni Israel
Weiming Xu China
Lijun Liu China
Fiona E. Yull United States
Zhe Wang China
Marina Di Domenico Italy
Hideaki Watanabe Japan
Atsushi Hirano Japan
David Butler
Citations per year, relative to David Butler David Butler (= 1×) peers Atsushi Hirano

Countries citing papers authored by David Butler

Since Specialization
Citations

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

Fields of papers citing papers by David Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Butler

This figure shows the co-authorship network connecting the top 25 collaborators of David Butler. A scholar is included among the top collaborators of David Butler 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 David Butler. David Butler 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.
Theofilas, Panos, Chao Wang, David Butler, et al.. (2024). iPSC-induced neurons with the V337M MAPT mutation are selectively vulnerable to caspase-mediated cleavage of tau and apoptotic cell death. Molecular and Cellular Neuroscience. 130. 103954–103954.
2.
Howell, Tiffani J., et al.. (2024). Exploring the Benefits of Dog-Assisted Therapy for the Treatment of Complex Trauma in Children: A Systematic Review. Children. 11(8). 1017–1017. 1 indexed citations
3.
Butler, David, et al.. (2023). Neonatal subarachnoid hemorrhage disrupts multiple aspects of cerebellar development. Frontiers in Molecular Neuroscience. 16. 1161086–1161086. 3 indexed citations
4.
Li, Zhong, Jimin Xu, Yuekun Lang, et al.. (2021). In vitro and in vivo characterization of erythrosin B and derivatives against Zika virus. Acta Pharmaceutica Sinica B. 12(4). 1662–1670. 18 indexed citations
5.
Butler, David & Andreas Lochbihler. (2019). Sigma Protocols and Commitment Schemes.. 2019. 1 indexed citations
6.
Butler, David, et al.. (2018). Proteasome-targeted nanobodies alleviate pathology and functional decline in an α-synuclein-based Parkinson’s disease model. npj Parkinson s Disease. 4(1). 25–25. 74 indexed citations
7.
Jayaraman, Muthusamy, Steven M. Ansell, Barbara L. Mui, et al.. (2012). Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo**. Angewandte Chemie International Edition. 51(34). 8529–8533. 973 indexed citations breakdown →
8.
Lynch, Dennis J., et al.. (2011). Excisional Surgery (Scalpectomy) for Dissecting Cellulitis of the Scalp. Dermatologic Surgery. 37(8). 1189–1191. 13 indexed citations
9.
Butler, David, et al.. (2011). Protective Effects of Positive Lysosomal Modulation in Alzheimer's Disease Transgenic Mouse Models. PLoS ONE. 6(6). e20501–e20501. 73 indexed citations
10.
Butler, David, et al.. (2010). Analysis of Gunshot Residue and Associated Materials—A Review. Journal of Forensic Sciences. 55(4). 924–943. 308 indexed citations
11.
Naidoo, Vinogran, Spyros P. Nikas, David A. Karanian, et al.. (2010). A New Generation Fatty Acid Amide Hydrolase Inhibitor Protects Against Kainate-Induced Excitotoxicity. Journal of Molecular Neuroscience. 43(3). 493–502. 42 indexed citations
12.
Tusa, Mark G., et al.. (2009). Face-Down Cryoembedding of Tissue Specimens for Mohs Micrographic Surgery Using Stainless Steel Embedding Wells. Dermatologic Surgery. 35(10). 1545–1548. 1 indexed citations
13.
14.
Greene, John F., et al.. (2008). Glatiramer Acetate–Associated, CD30+, Primary, Cutaneous, Anaplastic Large-Cell Lymphoma. Archives of Neurology. 65(10). 1378–9. 11 indexed citations
15.
Butler, David, et al.. (2007). Hemorrhagic Subcutaneous Nodules: An Initial Clinical Sign of Hemophilia A. Pediatric Dermatology. 24(2). 121–124. 2 indexed citations
16.
Butler, David, Ralph A. Nixon, & Ben A. Bahr. (2006). Potential Compensatory Responses Through Autophagic/Lysosomal Pathways in Neurodegenerative Diseases. Autophagy. 2(3). 234–237. 50 indexed citations
17.
Butler, David, et al.. (2005). Cellular Responses to Protein Accumulation Involve Autophagy and Lysosomal Enzyme Activation. Rejuvenation Research. 8(4). 227–237. 40 indexed citations
18.
Peterson, Jennifer, et al.. (2005). The Beveled Edge Technique for Harvesting of Full-Thickness Skin Grafts. Dermatologic Surgery. 31(9). 1128–1130. 5 indexed citations
19.
Butler, David, et al.. (2001). Urticating Hashimoto–Pritzker Langerhans Cell Histiocytosis. Pediatric Dermatology. 18(1). 41–44. 10 indexed citations
20.
Crandall, James E., Christian C. Dibble, David Butler, et al.. (2000). Patterning of olfactory sensory connections is mediated by extracellular matrix proteins in the nerve layer of the olfactory bulb. Journal of Neurobiology. 45(4). 195–206. 49 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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