Patrick S. Callery

94 papers receiving 2.2k citations

Peers

Patrick S. Callery
Comparison fields: 5 of 132
  • Toxicology 230
  • Biochemistry 264
  • Pharmacology 303
  • Pharmacology 143
  • Organic Chemistry 412
Replace Yuehong Wang with:
Yuehong Wang China
Dhimant Desai United States
Helen Wiseman United Kingdom
Kenneth Straub United States
Miguel Payá Spain
Daan Noort Netherlands
Yoshio Inouye Japan
Erden Banoğlu Türkiye
Claus Jacob Germany
Emmanuel Mikros Greece
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Citations per field
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Citations per year

Countries citing papers authored by Patrick S. Callery

Since Specialization
Citations

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

Fields of papers citing papers by Patrick S. Callery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick S. Callery. 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 Patrick S. Callery. The network helps show where Patrick S. Callery may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick S. Callery, 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 Patrick S. Callery Line = papers co-authored together Patrick S. Callery links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976254
2 2006182
3 1998134
4
Development of new radiopharmaceuticals based on N-substitution of iminodiacetic acid.
1976124
5 2008116
6 2011113
7
Metabolism of 17-(allylamino)-17-demethoxygeldanamycin (NSC 330507) by murine and human hepatic preparations.
1998112
8 200578
9 201077
10 201371
11 200260
12 200752
13 200848
14 201140
15 197640
16 200635
17 200732
18 199227
19 200827
20 199925

About Patrick S. Callery

Patrick S. Callery is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Biochemistry and Toxicology, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (15 papers), Polyamine Metabolism and Applications (13 papers), Amino Acid Enzymes and Metabolism (12 papers), Mass Spectrometry Techniques and Applications (10 papers), Chemical Reactions and Isotopes (10 papers), Forensic Toxicology and Drug Analysis (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Toxicology (230 citations), Biochemistry (264 citations), Pharmacology (303 citations), Pharmacology (143 citations) and Organic Chemistry (412 citations). Patrick S. Callery has collaborated with scholars based in United States, Thailand and Russia. Frequent co-authors include Frank J Schenck, Alexander T. Shulgin, Neal Castagnoli, Peyton Jacob, Merrill J. Egorin, Arthur J.L. Cooper, John T. Pinto, Steven M. Musser, Yon Rojanasakul and Julie L. Eiseman. Their work appears in journals such as Journal of Analytical Toxicology, Journal of Mass Spectrometry, Biochemical Pharmacology, Journal of Medicinal Chemistry and Drug Metabolism and Disposition.

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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