William P. Dailey

3.1k citations
91 papers · 2.4k indexed · h-index 25

William P. Dailey

88 papers receiving 2.3k citations

Peers

William P. Dailey
Comparison fields: 5 of 105
  • Pharmaceutical Science 402
  • Organic Chemistry 1.0k
  • Physical and Theoretical Chemistry 304
  • Inorganic Chemistry 243
  • Spectroscopy 274
Replace Alexander Senning with:
Alexander Senning Denmark
Satoshi Ono Japan
Zhijian Huang China
Mercedes Alonso Belgium
Gary L. Grunewald United States
Andrea Cappelli Italy
Michael T. Scerba United States
Gérald Guillaumet France
René Frank Germany
Helmut Buschmann Germany
William P. Dailey relative to Alexander Senning Denmark Alexander Senning's profile →
Citations per field
00.5×3.6×
Alexander Senning · 1×
Citations per year

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

The 25 scholars most cited alongside William P. Dailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William P. Dailey Line = papers co-authored together William P. Dailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 202110
3 20206
4 20187
5 201624
6 20154
7 201499
8 201314
9 20131
10 201335
11 201062
12 200969
13 1999307
14
Synthesis of Potential High-Energy Fuels
19931
15
Process infrared analysis (on-line technology): NDIR, NIR, FTIR, PAS and applications. A brief review.
19923
16 199013
17 199037
18 19860
19 198525
20 19854

About William P. Dailey

William P. Dailey is a scholar working on Pharmaceutical Science, Physical and Theoretical Chemistry and Organic Chemistry, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fluorine in Organic Chemistry (15 papers), Chemical Reaction Mechanisms (14 papers), Cyclopropane Reaction Mechanisms (14 papers), Chemical Reactions and Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (8 papers), Advanced Chemical Physics Studies (8 papers) and Synthesis and Biological Evaluation (7 papers). The work is most often cited by research in Pharmaceutical Science (402 citations), Organic Chemistry (1.0k citations) and Physical and Theoretical Chemistry (304 citations). William P. Dailey has collaborated with scholars based in United States, China and France. Frequent co-authors include Roderic G. Eckenhoff, Kenneth B. Wiberg, José M. Alonso, Noriko Hirayama, Joseph R. Ecker, Joseph J. Kieber, Jonathan B. Cohen, Andrew Dancis, Saeid Nourizadeh and Takashi Hirayama. Their work appears in journals such as The Journal of Organic Chemistry, Journal of the American Chemical Society, Tetrahedron Letters, Journal of Biological Chemistry and ACS Chemical Neuroscience.

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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