Owen M. McDougal

1.4k total citations
65 papers, 1.1k citations indexed

About

Owen M. McDougal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Owen M. McDougal has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 7 papers in Organic Chemistry. Recurrent topics in Owen M. McDougal's work include Receptor Mechanisms and Signaling (13 papers), Nicotinic Acetylcholine Receptors Study (12 papers) and Computational Drug Discovery Methods (11 papers). Owen M. McDougal is often cited by papers focused on Receptor Mechanisms and Signaling (13 papers), Nicotinic Acetylcholine Receptors Study (12 papers) and Computational Drug Discovery Methods (11 papers). Owen M. McDougal collaborates with scholars based in United States, New Zealand and Canada. Owen M. McDougal's co-authors include Reed B. Jacob, Tim Andersen, Matthew Turner, Julia Thom Oxford, Matthew D. King, C. Dale Poulter, Louis S. Nadelson, Ken Fujise, Narasimharao Kondamudi and Don L. Warner and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Owen M. McDougal

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Owen M. McDougal United States 18 623 128 100 76 76 65 1.1k
Ángel Herráez Spain 14 435 0.7× 41 0.3× 49 0.5× 32 0.4× 16 0.2× 51 772
Isaac M. Westwood United Kingdom 26 1.1k 1.7× 160 1.3× 207 2.1× 116 1.5× 24 0.3× 45 1.6k
Maria Voigt United States 9 359 0.6× 127 1.0× 43 0.4× 23 0.3× 14 0.2× 13 571
Diana Duarte Portugal 15 394 0.6× 63 0.5× 63 0.6× 32 0.4× 28 0.4× 45 787
Carlos R. Figueiredo Brazil 22 651 1.0× 23 0.2× 124 1.2× 264 3.5× 315 4.1× 58 1.5k
Robert C. Bateman United States 17 458 0.7× 9 0.1× 51 0.5× 53 0.7× 15 0.2× 32 706
Frédéric Cadet Réunion 21 715 1.1× 50 0.4× 24 0.2× 185 2.4× 65 0.9× 79 1.2k
Seyed Shahriar Arab Iran 20 761 1.2× 184 1.4× 57 0.6× 74 1.0× 35 0.5× 87 1.2k
Maria Carmela Vaccaro Italy 17 427 0.7× 53 0.4× 78 0.8× 89 1.2× 53 0.7× 41 684

Countries citing papers authored by Owen M. McDougal

Since Specialization
Citations

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

Fields of papers citing papers by Owen M. McDougal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen M. McDougal. 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 Owen M. McDougal. The network helps show where Owen M. McDougal may publish in the future.

Co-authorship network of co-authors of Owen M. McDougal

This figure shows the co-authorship network connecting the top 25 collaborators of Owen M. McDougal. A scholar is included among the top collaborators of Owen M. McDougal 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 Owen M. McDougal. Owen M. McDougal 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.
Fong, Mackenzie, et al.. (2025). Pulsed Electric Field Treatment of Sweet Potatoes to Reduce Oil and Acrylamide in Kettle Chips. Foods. 14(4). 577–577. 1 indexed citations
2.
McDougal, Owen M., et al.. (2025). Evaluation of Methods to Quantify Sialic Acid on Glycomacropeptide. Foods. 14(22). 3939–3939.
3.
McDougal, Owen M., et al.. (2025). Automated Spectral Preprocessing via Bayesian Optimization for Chemometric Analysis of Milk Constituents. Foods. 14(17). 2996–2996. 1 indexed citations
4.
Collins, Joseph M., et al.. (2024). SVR Chemometrics to Quantify β-Lactoglobulin and α-Lactalbumin in Milk Using MIR. Foods. 13(1). 166–166. 6 indexed citations
5.
McDougal, Owen M., et al.. (2024). Pharmacology of Veratrum californicum Alkaloids as Hedgehog Pathway Antagonists. Pharmaceuticals. 17(1). 123–123. 1 indexed citations
6.
Galant, Ashley, et al.. (2024). Impact of pulsed electric field treatment on barley germination for malting. LWT. 197. 115882–115882. 4 indexed citations
7.
McDougal, Owen M., et al.. (2023). Analysis of Tianeptine in Dietary Supplements. SHILAP Revista de lepidopterología. 3(3). 481–488. 1 indexed citations
8.
McDougal, Owen M., et al.. (2022). Veratrum parviflorum: An Underexplored Source for Bioactive Steroidal Alkaloids. Molecules. 27(16). 5349–5349. 9 indexed citations
9.
McDougal, Owen M., et al.. (2020). Determination of Organosulfides from Onion Oil. Foods. 9(7). 884–884. 8 indexed citations
10.
McDougal, Owen M., Peter B. Heenan, Nigel B. Perry, & John W. van Klink. (2018). Chemotaxonomy of kōwhai: leaf and seed flavonoids of New Zealand Sophora species. New Zealand Journal of Botany. 56(3). 227–236. 5 indexed citations
11.
Turner, Matthew, et al.. (2018). Native V. californicum Alkaloid Combinations Induce Differential Inhibition of Sonic Hedgehog Signaling. Molecules. 23(9). 2222–2222. 5 indexed citations
12.
King, Matthew D., et al.. (2018). SPIDR: small-molecule peptide-influenced drug repurposing. BMC Bioinformatics. 19(1). 138–138. 10 indexed citations
13.
Pinkaew, Decha, Abhijnan Chattopadhyay, Matthew D. King, et al.. (2017). Fortilin binds IRE1α and prevents ER stress from signaling apoptotic cell death. Nature Communications. 8(1). 18–18. 63 indexed citations
14.
Kondamudi, Narasimharao, Matthew Turner, & Owen M. McDougal. (2016). Harpagoside Content in Devil's Claw Extracts. Natural Product Communications. 11(9). 1215–1216. 4 indexed citations
15.
Phillips, P.D., et al.. (2016). Assessing the utility and limitations of high throughput virtual screening. SHILAP Revista de lepidopterología. 3(2). 238–245. 3 indexed citations
16.
Sambasivarao, Somisetti V., et al.. (2014). Acetylcholine Promotes Binding of α‐Conotoxin MII at α3β2 Nicotinic Acetylcholine Receptors. ChemBioChem. 15(3). 413–424. 15 indexed citations
17.
Warner, Don L., et al.. (2013). A Green Approach To Separate Spinach Pigments by Column Chromatography. Journal of Chemical Education. 90(6). 796–798. 35 indexed citations
18.
Jacob, Reed B., Tim Andersen, & Owen M. McDougal. (2012). Accessible High-Throughput Virtual Screening Molecular Docking Software for Students and Educators. PLoS Computational Biology. 8(5). e1002499–e1002499. 90 indexed citations
19.
Brown, Raquel J., et al.. (2011). Proteomic analysis of Col11a1‐associated protein complexes. PROTEOMICS. 11(24). 4660–4676. 16 indexed citations
20.
Jacob, Reed B., et al.. (2011). DockoMatic: Automated peptide analog creation for high throughput virtual screening. Journal of Computational Chemistry. 32(13). 2936–2941. 17 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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