Paul L. Walsh

708 total citations
16 papers, 553 citations indexed

About

Paul L. Walsh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmaceutical Science. According to data from OpenAlex, Paul L. Walsh has authored 16 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmaceutical Science. Recurrent topics in Paul L. Walsh's work include Drug Solubulity and Delivery Systems (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Protein purification and stability (3 papers). Paul L. Walsh is often cited by papers focused on Drug Solubulity and Delivery Systems (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Protein purification and stability (3 papers). Paul L. Walsh collaborates with scholars based in United States, Italy and Canada. Paul L. Walsh's co-authors include R. Mark Wightman, Pavel Takmakov, Gregory S. McCarty, Matthew K. Zachek, Carrie L. Donley, Richard B. Keithley, Thomas S. Guillot, Zoé A. McElligott, Bryan L. Roth and Parastoo Hashemi and has published in prestigious journals such as Journal of Clinical Investigation, Analytical Chemistry and Endocrinology.

In The Last Decade

Paul L. Walsh

15 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul L. Walsh United States	10	241	207	170	147	90	16	553
Mimi Shin United States	12	279 1.2×	152 0.7×	89 0.5×	158 1.1×	54 0.6×	17	529
Darren J. Michael United States	11	421 1.7×	339 1.6×	290 1.7×	359 2.4×	164 1.8×	12	1.1k
Laura Borland United States	9	378 1.6×	178 0.9×	163 1.0×	297 2.0×	85 0.9×	10	815
Scott T. Lee United States	10	233 1.0×	295 1.4×	229 1.3×	140 1.0×	149 1.7×	11	630
Eric R. Travis United States	13	499 2.1×	216 1.0×	219 1.3×	493 3.4×	83 0.9×	15	974
Joshua D. Joseph United States	7	513 2.1×	291 1.4×	256 1.5×	245 1.7×	146 1.6×	7	837
Jennifer M. Finnegan United States	10	465 1.9×	151 0.7×	168 1.0×	578 3.9×	55 0.6×	13	914
Elizabeth S. Bucher United States	10	403 1.7×	336 1.6×	295 1.7×	180 1.2×	139 1.5×	11	735
Manon Guille France	14	279 1.2×	295 1.4×	309 1.8×	382 2.6×	76 0.8×	19	930
Erika L. Varner United States	10	122 0.5×	101 0.5×	65 0.4×	177 1.2×	55 0.6×	16	432

Countries citing papers authored by Paul L. Walsh

Since Specialization

Citations

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

Fields of papers citing papers by Paul L. Walsh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul L. Walsh. 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 Paul L. Walsh. The network helps show where Paul L. Walsh may publish in the future.

Co-authorship network of co-authors of Paul L. Walsh

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

All Works

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16 of 16 papers shown

Losacco, Gioacchino Luca, Zachary S. Breitbach, Paul L. Walsh, & Leon van Haandel. (2023). Unified chromatography in drug development: Exploiting chaotropic/kosmotropic salts for an accelerated method development. Journal of Chromatography A. 1709. 464392–464392. 2 indexed citations

Pierson, Elizabeth E., et al.. (2022). Photo-Oxidation Mechanisms in Liquid Pharmaceutical Formulations: The Overlooked Role of Singlet Oxygen Presented as a Case Study. Pharmaceutical Research. 39(10). 2529–2540. 5 indexed citations

Rudd, Nathan D., Mikhail Reibarkh, Rui Fang, et al.. (2020). Interpreting In Vitro Release Performance from Long-Acting Parenteral Nanosuspensions Using USP-4 Dissolution and Spectroscopic Techniques. Molecular Pharmaceutics. 17(5). 1734–1747. 14 indexed citations

Rudd, Nathan D., Roy Helmy, Peter G. Dormer, et al.. (2020). Probing in Vitro Release Kinetics of Long-Acting Injectable Nanosuspensions via Flow-NMR Spectroscopy. Molecular Pharmaceutics. 17(2). 530–540. 7 indexed citations

Walsh, Paul L., et al.. (2020). Determining the Sources of Variance in the Preparation of Analytical Standards for Chromatographic Analysis of a Lyophilized Peptide Drug Substance by Nested ANOVA Statistical Analysis. AAPS PharmSciTech. 21(2). 70–70.

D’Addio, Suzanne M., Jameson R. Bothe, Paul L. Walsh, et al.. (2016). New and Evolving Techniques for the Characterization of Peptide Therapeutics. Journal of Pharmaceutical Sciences. 105(10). 2989–3006. 31 indexed citations

Walsh, Paul L., et al.. (2016). Comparing Dog and Human Intestinal Fluids: Implications on Solubility and Biopharmaceutical Risk Assessment. AAPS PharmSciTech. 18(4). 1408–1416. 13 indexed citations

Walsh, Paul L., Jameson R. Bothe, Sunny P. Bhardwaj, et al.. (2015). A canine biorelevant dissolution method for predicting in vivo performance of orally administered sustained release matrix tablets. Drug Development and Industrial Pharmacy. 42(5). 836–844. 3 indexed citations

McElligott, Zoé A., Megan E. Fox, Paul L. Walsh, et al.. (2013). Noradrenergic Synaptic Function in the Bed Nucleus of the Stria Terminalis Varies in Animal Models of Anxiety and Addiction. Neuropsychopharmacology. 38(9). 1665–1673. 47 indexed citations

10.

Riday, Thorfinn T., Elyse C. Dankoski, Michael C. Krouse, et al.. (2012). Pathway-specific dopaminergic deficits in a mouse model of Angelman syndrome. Journal of Clinical Investigation. 122(12). 4544–4554. 48 indexed citations

11.

Kile, Brian M., Paul L. Walsh, Zoé A. McElligott, et al.. (2012). Optimizing the Temporal Resolution of Fast-Scan Cyclic Voltammetry. ACS Chemical Neuroscience. 3(4). 285–292. 48 indexed citations

12.

Hashemi, Parastoo, Paul L. Walsh, Thomas S. Guillot, et al.. (2011). Chronically Implanted, Nafion-Coated Ag/AgCl Reference Electrodes for Neurochemical Applications. ACS Chemical Neuroscience. 2(11). 658–666. 49 indexed citations

13.

Street, Sarah E., Paul L. Walsh, Nathaniel A. Sowa, et al.. (2011). PAP and NT5E Inhibit Nociceptive Neurotransmission by Rapidly Hydrolyzing Nucleotides to Adenosine. Molecular Pain. 7. 80–80. 50 indexed citations

14.

Walsh, Paul L., Jelena Petrović, & R. Mark Wightman. (2010). Distinguishing splanchnic nerve and chromaffin cell stimulation in mouse adrenal slices with fast-scan cyclic voltammetry. American Journal of Physiology-Cell Physiology. 300(1). C49–C57. 6 indexed citations

15.

Takmakov, Pavel, Matthew K. Zachek, Richard B. Keithley, et al.. (2010). Carbon Microelectrodes with a Renewable Surface. Analytical Chemistry. 82(5). 2020–2028. 201 indexed citations

16.

Petrovic, Jelena, et al.. (2010). Real-Time Monitoring of Chemical Transmission in Slices of the Murine Adrenal Gland. Endocrinology. 151(4). 1773–1783. 29 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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