Richard N. Dalby

2.3k total citations
46 papers, 1.7k citations indexed

About

Richard N. Dalby is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Pharmaceutical Science. According to data from OpenAlex, Richard N. Dalby has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 15 papers in Physiology and 7 papers in Pharmaceutical Science. Recurrent topics in Richard N. Dalby's work include Inhalation and Respiratory Drug Delivery (33 papers), Asthma and respiratory diseases (12 papers) and Cystic Fibrosis Research Advances (6 papers). Richard N. Dalby is often cited by papers focused on Inhalation and Respiratory Drug Delivery (33 papers), Asthma and respiratory diseases (12 papers) and Cystic Fibrosis Research Advances (6 papers). Richard N. Dalby collaborates with scholars based in United States, United Kingdom and Germany. Richard N. Dalby's co-authors include Beth L. Laube, Peter R. Byron, Julie Suman, Thomas Voshaar, Pamela L. Zeitlin, Yang Guo, Gary R. Pitcairn, Stephen P. Newman, Joanne Peart and Elaine M. Phillips and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and CHEST Journal.

In The Last Decade

Richard N. Dalby

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard N. Dalby United States 25 1.2k 366 356 204 168 46 1.7k
Beth L. Laube United States 33 2.7k 2.2× 1.3k 3.6× 243 0.7× 133 0.7× 250 1.5× 92 3.4k
N. R. Labiris Canada 13 1.3k 1.0× 354 1.0× 360 1.0× 194 1.0× 40 0.2× 18 1.6k
Laleh Golshahi United States 20 865 0.7× 218 0.6× 118 0.3× 89 0.4× 79 0.5× 50 1.2k
Philip J. Kuehl United States 22 906 0.7× 259 0.7× 223 0.6× 185 0.9× 35 0.2× 72 1.4k
Brian Button United States 28 2.3k 1.9× 511 1.4× 186 0.5× 48 0.2× 146 0.9× 63 3.5k
Ralph W. Niven United States 26 1.1k 0.9× 170 0.5× 421 1.2× 191 0.9× 38 0.2× 46 1.7k
Gary R. Pitcairn United Kingdom 20 999 0.8× 474 1.3× 174 0.5× 124 0.6× 23 0.1× 32 1.1k
David Cipolla Australia 29 1.5k 1.2× 256 0.7× 735 2.1× 255 1.3× 51 0.3× 84 2.5k
Bruce K. Rubin United States 28 2.1k 1.7× 709 1.9× 131 0.4× 44 0.2× 208 1.2× 65 2.6k
A. Ben-Jebria United States 10 956 0.8× 160 0.4× 481 1.4× 311 1.5× 42 0.3× 18 1.4k

Countries citing papers authored by Richard N. Dalby

Since Specialization
Citations

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

Fields of papers citing papers by Richard N. Dalby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard N. Dalby. 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 Richard N. Dalby. The network helps show where Richard N. Dalby may publish in the future.

Co-authorship network of co-authors of Richard N. Dalby

This figure shows the co-authorship network connecting the top 25 collaborators of Richard N. Dalby. A scholar is included among the top collaborators of Richard N. Dalby 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 Richard N. Dalby. Richard N. Dalby 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.
Dalby, Richard N., et al.. (2024). Applications of an Electrochemical Sensory Array Coupled with Chemometric Modeling for Electronic Cigarettes. Sensors. 24(17). 5676–5676. 1 indexed citations
2.
Ma, Tao, Vyomesh Patel, Sarah L. J. Michel, et al.. (2024). Aerosolized e‐liquid base constituents induce cytotoxicity and genotoxicity in oral keratinocytes. Oral Diseases. 31(2). 482–491. 2 indexed citations
3.
Dalby, Richard N., et al.. (2013). Automated actuation of nasal spray products: effect of hand-related variability on thein vitroperformance of Flonase nasal spray. Drug Development and Industrial Pharmacy. 40(6). 711–718. 11 indexed citations
4.
Dalby, Richard N., et al.. (2011). Development of Respimat® Soft Mist™ Inhaler and its clinical utility in respiratory disorders. Medical Devices Evidence and Research. 4. 145–145. 73 indexed citations
5.
Dalby, Richard N., et al.. (2011). Effect of Formulation- and Administration-Related Variables on Deposition Pattern of Nasal Spray Pumps Evaluated Using a Nasal Cast. Pharmaceutical Research. 28(8). 1895–1904. 93 indexed citations
6.
Scheuch, G., William D. Bennett, Lars Borgström, et al.. (2010). Deposition, Imaging, and Clearance: What Remains to be Done?. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 23(S2). S–39. 45 indexed citations
7.
Bollinger, Mary E., et al.. (2010). Automated actuation of nasal spray products: determination and comparison of adult and pediatric settings. Drug Development and Industrial Pharmacy. 37(3). 359–366. 25 indexed citations
8.
Hoag, Stephen W., et al.. (2009). Use of Flexible Weighted Nasal Spray Dip Tubes to Improve Product Performance. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 23(2). 69–75. 5 indexed citations
9.
Dalby, Richard N., et al.. (2009). Assessment of Nasal Spray Deposition Pattern in a Silicone Human Nose Model Using a Color-Based Method. Pharmaceutical Research. 27(1). 30–36. 79 indexed citations
10.
Roche, Joseph A., et al.. (2008). Phospholipid-Induced In Vivo Particle Migration to Enhance Pulmonary Deposition. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 21(4). 343–350. 14 indexed citations
11.
Hoag, Stephen W., et al.. (2007). The Analysis And Prediction of Functional Robustness of Inhaler Devices. Journal of Aerosol Medicine. 20(1). 19–37. 2 indexed citations
12.
Suman, Julie, Beth L. Laube, & Richard N. Dalby. (2006). Validity of In Vitro Tests on Aqueous Spray Pumps as Surrogates for Nasal Deposition, Absorption, and Biologic Response. Journal of Aerosol Medicine. 19(4). 510–521. 42 indexed citations
13.
Dalby, Richard N., et al.. (2004). A review of the development of Respimat® Soft Mist™ Inhaler. International Journal of Pharmaceutics. 283(1-2). 1–9. 161 indexed citations
14.
Dalby, Richard N. & Julie Suman. (2003). Inhalation therapy: technological milestones in asthma treatment. Advanced Drug Delivery Reviews. 55(7). 779–791. 75 indexed citations
15.
Laube, Beth L., et al.. (2002). Allergen Challenge and Deposition of Nedocromil Sodium in Asthma. Journal of Aerosol Medicine. 15(4). 415–425. 2 indexed citations
16.
Shin, Chan Young, et al.. (2000). INHALED ATP CAUSES MUCIN RELEASE FROM GOBLET CELLS OF INTACT RATS. Experimental Lung Research. 26(1). 1–11. 12 indexed citations
17.
18.
Laube, Beth L., Alan M. Edwards, Richard N. Dalby, Peter S. Creticos, & Philip S. Norman. (1998). Respiratory pathophysiologic responses. Journal of Allergy and Clinical Immunology. 101(4). 475–483. 59 indexed citations
19.
Dalby, Richard N., Elaine M. Phillips, & Peter R. Byron. (1991). Determination of drug solubility in aerosol propellants.. Pharmaceutical Research. 8(9). 1206–1209. 25 indexed citations
20.
Dalby, Richard N. & Peter R. Byron. (1988). Comparison of Output Particle Size Distributions from Pressurized Aerosols Formulated as Solutions or Suspensions. Pharmaceutical Research. 5(1). 36–39. 46 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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