William J. Wheeler

2.3k total citations
91 papers, 1.7k citations indexed

About

William J. Wheeler is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, William J. Wheeler has authored 91 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Organic Chemistry and 16 papers in Pharmacology. Recurrent topics in William J. Wheeler's work include Allergic Rhinitis and Sensitization (13 papers), Asthma and respiratory diseases (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). William J. Wheeler is often cited by papers focused on Allergic Rhinitis and Sensitization (13 papers), Asthma and respiratory diseases (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). William J. Wheeler collaborates with scholars based in United States, Bulgaria and Finland. William J. Wheeler's co-authors include Derek S. Wheeler, M. Brian Arnold, Paul L. Ornstein, Rebecca A. Wright, Harry Sacks, N. Amar, Julius van Bavel, Paul H. Ratner, Frank C. Hampel and Patrick J. Walsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Journal of Allergy and Clinical Immunology.

In The Last Decade

William J. Wheeler

89 papers receiving 1.6k citations

Peers

William J. Wheeler
Xavier Coumoul France
Emanuela Masini Italy
Yumei Wu China
Josef Abel Germany
Robert Thompson United Kingdom
Kenneth S. Ramos United States
Andrew Holt Canada
Yumi Yamamoto Japan
Nisha S. Sipes United States
Lefteris C. Zacharia United States
Xavier Coumoul France
William J. Wheeler
Citations per year, relative to William J. Wheeler William J. Wheeler (= 1×) peers Xavier Coumoul

Countries citing papers authored by William J. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by William J. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Wheeler. 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 William J. Wheeler. The network helps show where William J. Wheeler may publish in the future.

Co-authorship network of co-authors of William J. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Wheeler. A scholar is included among the top collaborators of William J. Wheeler 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 William J. Wheeler. William J. Wheeler 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.
Moore, Chris, Charles Griffiths, Matthew T. Heberling, et al.. (2023). Measuring the social benefits of water quality improvements to support regulatory objectives: Progress and future directions. Proceedings of the National Academy of Sciences. 120(18). e2120247120–e2120247120. 10 indexed citations
2.
Griffiths, Charles, et al.. (2020). An Integrated Assessment Model for Valuing Water Quality Changes in the United States. Land Economics. 96(4). 478–492. 16 indexed citations
3.
Hampel, Frank C., Paul H. Ratner, Julius van Bavel, et al.. (2010). Double-blind, placebo-controlled study of azelastine and fluticasone in a single nasal spray delivery device. Annals of Allergy Asthma & Immunology. 105(2). 168–173. 93 indexed citations
4.
Simon, Steve, et al.. (2010). Bioavailability of oral carisoprodol 250 and 350 mg and metabolism to meprobamate: A single-dose crossover study. Current Therapeutic Research. 71(1). 50–59. 6 indexed citations
5.
Bernstein, Jonathan A., Joshua Jacobs, William J. Wheeler, & Harry Sacks. (2010). Efficacy of Azelastine 0.15% Nasal Spray in Treating Nasal Symptoms of Perennial Allergic Rhinitis. Journal of Allergy and Clinical Immunology. 125(2). AB176–AB176. 1 indexed citations
6.
Ratner, Paul H., Frank C. Hampel, Julius van Bavel, et al.. (2008). Combination therapy with azelastine hydrochloride nasal spray and fluticasone propionate nasal spray in the treatment of patients with seasonal allergic rhinitis. Annals of Allergy Asthma & Immunology. 100(1). 74–81. 90 indexed citations
7.
Lumry, William R., Bruce M. Prenner, Jonathan Corren, & William J. Wheeler. (2007). Efficacy and safety of azelastine nasal spray at a dose of 1 spray per nostril twice daily. Annals of Allergy Asthma & Immunology. 99(3). 267–272. 27 indexed citations
8.
9.
Gackenheimer, Susan L., John E. Pintar, William J. Wheeler, et al.. (2005). Localization of opioid receptor antagonist [3H]-LY255582 binding sites in mouse brain: Comparison with the distribution of mu, delta and kappa binding sites. Neuropeptides. 39(6). 559–567. 23 indexed citations
10.
Lieberman, Phil, Michael Kaliner, & William J. Wheeler. (2005). Open-label evaluation of azelastine nasal spray in patients with seasonal allergic rhinitis and nonallergic vasomotor rhinitis. Current Medical Research and Opinion. 21(4). 611–618. 40 indexed citations
11.
Wheeler, William J., et al.. (2004). (2S,1′S,2′R,3′R)-2(2′-Carboxy-3′-hydroxymethylcyclopropyl)glycine-[3H], a potent and selective radioligand for labeling group 2 and 3 metabotropic glutamate receptors. Bioorganic & Medicinal Chemistry Letters. 15(2). 349–351. 3 indexed citations
12.
Gillespie, Todd A., P Kulanthaivel, R. Clark Lantz, et al.. (2004). Synthesis and biological activity of some known and putative duloxetine metabolites. Bioorganic & Medicinal Chemistry Letters. 14(13). 3481–3486. 34 indexed citations
13.
14.
Mattiuz, Edward L., et al.. (2002). The Disposition, Metabolism, and Pharmacokinetics of a Selective Metabotropic Glutamate Receptor Agonist in Rats and Dogs. Drug Metabolism and Disposition. 30(1). 27–33. 19 indexed citations
15.
Wright, Rebecca A., M. Brian Arnold, William J. Wheeler, Paul L. Ornstein, & Darryle D. Schoepp. (2000). Binding of [ 3 H](2 S ,1' S ,2' S )-2-(9-xanthylmethyl)-2-(2'-carboxycyclopropyl)glycine ([ 3 H]LY341495) to cell membranes expressing recombinant human group III metabotropic glutamate receptor subtypes. Naunyn-Schmiedeberg s Archives of Pharmacology. 362(6). 546–554. 48 indexed citations
16.
17.
Ornstein, Paul L., et al.. (1998). [3H]LY341495, a highly potent, selective and novel radioligand for labeling group II metabotropic glutamate receptors. Bioorganic & Medicinal Chemistry Letters. 8(14). 1919–1922. 32 indexed citations
18.
Livni, Eli, W. Satterlee, Roger L. Robey, et al.. (1994). Synthesis of [11C]dapoxetine · HCl, a serotonin re-uptake inhibitor: Biodistribution in rat and preliminary PET imaging in the monkey. Nuclear Medicine and Biology. 21(4). 669–675. 20 indexed citations
19.
Ehlhardt, William J., et al.. (1993). Biotransformation of the antiviral agent 1,3,4-thiadiazol-2-ylcyanamide (LY217896) and characteristics of a mesoionic ribose metabolite.. Drug Metabolism and Disposition. 21(1). 162–170. 11 indexed citations
20.

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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