Patrick O’Neill

1.8k total citations
24 papers, 1.4k citations indexed

About

Patrick O’Neill is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Patrick O’Neill has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Electronic, Optical and Magnetic Materials and 7 papers in Materials Chemistry. Recurrent topics in Patrick O’Neill's work include Gold and Silver Nanoparticles Synthesis and Applications (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nanocluster Synthesis and Applications (5 papers). Patrick O’Neill is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Nanocluster Synthesis and Applications (5 papers). Patrick O’Neill collaborates with scholars based in United States, Germany and Canada. Patrick O’Neill's co-authors include Deborah Kuchnir Fygenson, E. G. Gwinn, N. Gautam, Adán Guerrero, Dirk Bouwmeester, Vani Kalyanaraman, Paul W. K. Rothemund, Ajith Karunarathne, A. Ignatiev and Xenia Meshik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Neuroscience.

In The Last Decade

Patrick O’Neill

24 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick O’Neill United States 16 886 794 592 157 133 24 1.4k
Yasushi Hotta Japan 24 434 0.5× 644 0.8× 482 0.8× 380 2.4× 129 1.0× 56 1.5k
Yoshiko Takenaka Japan 13 432 0.5× 197 0.2× 112 0.2× 54 0.3× 61 0.5× 26 850
Nick Smisdom Belgium 17 298 0.3× 166 0.2× 207 0.3× 69 0.4× 58 0.4× 31 950
Camilla Luccardini France 12 1.1k 1.2× 955 1.2× 144 0.2× 312 2.0× 187 1.4× 17 1.9k
George R. Heath United Kingdom 17 550 0.6× 263 0.3× 120 0.2× 40 0.3× 67 0.5× 29 1.1k
George Sirinakis United States 15 740 0.8× 129 0.2× 97 0.2× 94 0.6× 374 2.8× 24 1.4k
Fernanda Ricci Italy 11 439 0.5× 113 0.1× 67 0.1× 152 1.0× 57 0.4× 20 698
Kenneth Ritchie United States 7 473 0.5× 131 0.2× 75 0.1× 130 0.8× 131 1.0× 8 702
Rodney L. Williamson United States 13 158 0.2× 219 0.3× 121 0.2× 195 1.2× 37 0.3× 48 808
Anton A. Shemetov United States 15 813 0.9× 262 0.3× 51 0.1× 394 2.5× 98 0.7× 21 1.5k

Countries citing papers authored by Patrick O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Patrick O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick O’Neill. 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 Patrick O’Neill. The network helps show where Patrick O’Neill may publish in the future.

Co-authorship network of co-authors of Patrick O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick O’Neill. A scholar is included among the top collaborators of Patrick O’Neill 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 Patrick O’Neill. Patrick O’Neill 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.
Pérez, Jocelyn, et al.. (2023). Dissociable Contributions of Basolateral Amygdala and Ventrolateral Orbitofrontal Cortex to Flexible Learning Under Uncertainty. Journal of Neuroscience. 44(2). e0622232023–e0622232023. 3 indexed citations
3.
O’Neill, Patrick, et al.. (2023). SEX-DEPENDENT CONTRIBUTIONS OF VENTROLATERAL ORBITOFRONTAL CORTEX AND BASOLATERAL AMYGDALA TO LEARNING UNDER UNCERTAINTY. IBRO Neuroscience Reports. 15. S808–S808. 1 indexed citations
4.
Mann, Anika, Lionel Moulédous, Carine Froment, et al.. (2019). Agonist-selective NOP receptor phosphorylation correlates in vitro and in vivo and reveals differential post-activation signaling by chemically diverse agonists. Science Signaling. 12(574). 31 indexed citations
5.
Meshik, Xenia, Patrick O’Neill, & N. Gautam. (2019). Physical Plasma Membrane Perturbation Using Subcellular Optogenetics Drives Integrin-Activated Cell Migration. ACS Synthetic Biology. 8(3). 498–510. 12 indexed citations
6.
O’Neill, Patrick, et al.. (2018). Membrane Flow Drives an Adhesion-Independent Amoeboid Cell Migration Mode. Developmental Cell. 46(1). 9–22.e4. 95 indexed citations
7.
Meshik, Xenia, Patrick O’Neill, & N. Gautam. (2018). Optogenetic Control of Cell Migration. Methods in molecular biology. 1749. 313–324. 10 indexed citations
8.
O’Neill, Patrick, Vani Kalyanaraman, & N. Gautam. (2016). Subcellular optogenetic activation of Cdc42 controls local and distal signaling to drive immune cell migration. Molecular Biology of the Cell. 27(9). 1442–1450. 49 indexed citations
9.
O’Neill, Patrick & N. Gautam. (2015). Optimizing optogenetic constructs for control over signaling and cell behaviours. Photochemical & Photobiological Sciences. 14(9). 1578–1585. 8 indexed citations
10.
O’Neill, Patrick & N. Gautam. (2014). Subcellular optogenetic inhibition of G proteins generates signaling gradients and cell migration. Molecular Biology of the Cell. 25(15). 2305–2314. 57 indexed citations
11.
Karunarathne, Ajith, Patrick O’Neill, & N. Gautam. (2014). Subcellular optogenetics – controlling signaling and single-cell behavior. Journal of Cell Science. 128(1). 15–25. 33 indexed citations
12.
Karunarathne, Ajith, et al.. (2012). All G protein βγ complexes are capable of translocation on receptor activation. Biochemical and Biophysical Research Communications. 421(3). 605–611. 41 indexed citations
13.
O’Neill, Patrick, Ajith Karunarathne, Vani Kalyanaraman, John R. Silvius, & N. Gautam. (2012). G-protein signaling leverages subunit-dependent membrane affinity to differentially control βγ translocation to intracellular membranes. Proceedings of the National Academy of Sciences. 109(51). E3568–77. 33 indexed citations
14.
O’Neill, Patrick, et al.. (2012). Few-Atom Fluorescent Silver Clusters Assemble at Programmed Sites on DNA Nanotubes. Nano Letters. 12(11). 5464–5469. 59 indexed citations
15.
16.
O’Neill, Patrick, E. G. Gwinn, & Deborah Kuchnir Fygenson. (2011). UV Excitation of DNA Stabilized Ag Cluster Fluorescence via the DNA Bases. The Journal of Physical Chemistry C. 115(49). 24061–24066. 87 indexed citations
17.
Gwinn, E. G., Patrick O’Neill, Adán Guerrero, Dirk Bouwmeester, & Deborah Kuchnir Fygenson. (2008). Sequence‐Dependent Fluorescence of DNA‐Hosted Silver Nanoclusters. Advanced Materials. 20(2). 279–283. 404 indexed citations
18.
O’Neill, Patrick, et al.. (2006). Sturdier DNA Nanotubes via Ligation. Nano Letters. 6(7). 1379–1383. 112 indexed citations
19.
Royer, J, Patrick O’Neill, Nathan Becker, & Guenter Ahlers. (2004). Wave-number selection by target patterns and sidewalls in Rayleigh-Bénard convection. Physical Review E. 70(3). 36313–36313. 4 indexed citations
20.
O’Neill, Patrick, C. Doland, & A. Ignatiev. (1977). Structural composition and optical properties of solar blacks: gold black. Applied Optics. 16(11). 2822–2822. 21 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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