William P. Dailey

3.1k total citations
91 papers, 2.4k citations indexed

About

William P. Dailey is a scholar working on Organic Chemistry, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, William P. Dailey has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Organic Chemistry, 22 papers in Molecular Biology and 16 papers in Pharmaceutical Science. Recurrent topics in William P. Dailey's work include Fluorine in Organic Chemistry (15 papers), Chemical Reaction Mechanisms (14 papers) and Cyclopropane Reaction Mechanisms (14 papers). William P. Dailey is often cited by papers focused on Fluorine in Organic Chemistry (15 papers), Chemical Reaction Mechanisms (14 papers) and Cyclopropane Reaction Mechanisms (14 papers). William P. Dailey collaborates with scholars based in United States, China and France. William P. Dailey's co-authors include Roderic G. Eckenhoff, Kenneth B. Wiberg, José M. Alonso, Saeid Nourizadeh, Noriko Hirayama, Andrew Dancis, Joseph R. Ecker, Plinio Guzmán, Joseph J. Kieber and Jonathan B. Cohen and has published in prestigious journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

William P. Dailey

88 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William P. Dailey United States 25 1.0k 597 402 304 288 91 2.4k
Peter J. Garratt United Kingdom 27 1.9k 1.8× 550 0.9× 85 0.2× 276 0.9× 147 0.5× 142 2.9k
Alexander Senning Denmark 24 1.7k 1.6× 511 0.9× 116 0.3× 349 1.1× 51 0.2× 254 2.8k
Nadine Jagerovic Spain 32 961 0.9× 715 1.2× 54 0.1× 298 1.0× 180 0.6× 128 2.9k
Jaswir Basran United Kingdom 34 277 0.3× 1.9k 3.2× 139 0.3× 224 0.7× 129 0.4× 87 3.1k
Robert S. H. Liu United States 33 1.3k 1.2× 885 1.5× 191 0.5× 742 2.4× 50 0.2× 126 3.1k
В. Б. Соколов Russia 20 818 0.8× 318 0.5× 193 0.5× 50 0.2× 99 0.3× 235 1.6k
J. F. Arens Netherlands 27 2.3k 2.3× 622 1.0× 323 0.8× 183 0.6× 109 0.4× 137 3.0k
Linus O. Johannissen United Kingdom 25 272 0.3× 1.1k 1.9× 77 0.2× 192 0.6× 115 0.4× 60 1.9k
Youval Shvo Israel 32 2.4k 2.3× 593 1.0× 147 0.4× 107 0.4× 170 0.6× 91 3.8k
Volker Buß Germany 30 830 0.8× 1.8k 2.9× 101 0.3× 316 1.0× 62 0.2× 107 3.2k

Countries citing papers authored by William P. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by William P. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William P. Dailey

This figure shows the co-authorship network connecting the top 25 collaborators of William P. Dailey. A scholar is included among the top collaborators of William P. Dailey 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 P. Dailey. William P. Dailey 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.
McKinstry-Wu, Andrew R., et al.. (2023). In VivoPhotoadduction of Anesthetic Ligands in Mouse Brain Markedly Extends Sedation and Hypnosis. Journal of Neuroscience. 43(13). 2338–2348. 4 indexed citations
2.
Woll, Kellie A., William P. Dailey, & Roderic G. Eckenhoff. (2018). Identification of General Anesthetic Target Protein-Binding Sites by Photoaffinity Labeling and Mass Spectrometry. Methods in enzymology on CD-ROM/Methods in enzymology. 602. 231–246. 7 indexed citations
3.
Woll, Kellie A., Benika J. Pinch, Jérôme Hénin, et al.. (2016). A Novel Bifunctional Alkylphenol Anesthetic Allows Characterization of γ-Aminobutyric Acid, Type A (GABAA), Receptor Subunit Binding Selectivity in Synaptosomes. Journal of Biological Chemistry. 291(39). 20473–20486. 24 indexed citations
4.
Weiser, Brian P., Michael Hall, Nathan L. Weinbren, et al.. (2015). Macroscopic and Macromolecular Specificity of Alkylphenol Anesthetics for Neuronal Substrates. Scientific Reports. 5(1). 9695–9695. 4 indexed citations
5.
Chiara, David C., Jonathan F. Gill, Qiang Chen, et al.. (2013). Photoaffinity Labeling the Propofol Binding Site in GLIC. Biochemistry. 53(1). 135–142. 35 indexed citations
6.
Hall, Michael, Xi Jin, Shuiping Dai, et al.. (2010). m -Azipropofol (AziP m ) a Photoactive Analogue of the Intravenous General Anesthetic Propofol. Journal of Medicinal Chemistry. 53(15). 5667–5675. 62 indexed citations
7.
Eckenhoff, Roderic G., et al.. (2002). Halogenated Diazirines as Photolabel Mimics of the Inhaled Haloalkane Anesthetics. Journal of Medicinal Chemistry. 45(9). 1879–1886. 18 indexed citations
8.
Hirayama, Takashi, Joseph J. Kieber, Noriko Hirayama, et al.. (1999). RESPONSIVE-TO-ANTAGONIST1, a Menkes/Wilson Disease–Related Copper Transporter, Is Required for Ethylene Signaling in Arabidopsis. Cell. 97(3). 383–393. 307 indexed citations
9.
10.
Dailey, William P., et al.. (1995). Generation, Direct Observation under Matrix Isolation Conditions, and ab Initio Calculations for 2-Azacyclopenta-2,4-dien-1-one. The Journal of Physical Chemistry. 99(43). 15870–15873. 5 indexed citations
11.
Dailey, William P.. (1993). Synthesis of Potential High-Energy Fuels. Defense Technical Information Center (DTIC). 1 indexed citations
12.
Dailey, William P.. (1992). Process infrared analysis (on-line technology): NDIR, NIR, FTIR, PAS and applications. A brief review.. 3. 99–106. 3 indexed citations
13.
14.
Harmony, Marlin D., et al.. (1991). Microwave spectrum and structure of the conformers of 3,3-difluoroacryloyl fluoride. Journal of Molecular Structure. 244. 59–68.
15.
Dailey, William P., et al.. (1991). Preparation of 3,3-difluoroacrylic acid derivatives by dehydrohalogenation of activated acyl compounds. Synthesis of two potential precursors to difluoropropadienone. The Journal of Organic Chemistry. 56(2). 900–902. 4 indexed citations
16.
Dailey, William P., et al.. (1990). Difluoropropadienone as a source of difluorovinylidene and difluorodiazoethene. Journal of the American Chemical Society. 112(10). 4046–4047. 37 indexed citations
17.
Dailey, William P., et al.. (1988). Nitrodiazomethane as a source of nitrocarbene. Tetrahedron Letters. 29(9). 987–990. 18 indexed citations
18.
Dailey, William P.. (1987). The structures and energies of pentaprismane and hexaprismane - an ab initio study. Tetrahedron Letters. 28(47). 5787–5790. 18 indexed citations
19.
Dailey, William P.. (1986). The relationship between 19F chemical shifts and calculated electron densities in perfluorinated annulenes. Tetrahedron Letters. 27(25). 2825–2828.
20.
Orendt, Anita M., Julio C. Facelli, David M. Grant, et al.. (1985). Low temperature 13C NMR magnetic resonance in solids 4. Cyclopropane, bicyclo[1.1.0]butane and [1.1.1] propellane. Theoretical Chemistry Accounts. 68(6). 421–430. 25 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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