Jonathan R. Daft

454 citations
10 papers · 357 · h-index 9

Impact in

  • Toxicology top 10%
    • Forensic Toxicology and Drug Analysis
    • Catalytic Cross-Coupling Reactions
    • Catalytic C–H Functionalization Methods
    • Click Chemistry and Applications

Papers in

    • DNA and Nucleic Acid Chemistry 2
    • Advanced biosensing and bioanalysis techniques 2
    • Drug Transport and Resistance Mechanisms 2

Jonathan R. Daft

10 papers receiving 342 citations

Peers

Jonathan R. Daft
Comparison fields: 5 of 72
  • Toxicology 28
  • Organic Chemistry 134
  • Analytical Chemistry 34
  • Physiology 15
  • Food Science 46
Replace Hanna Kruszewska with:
Hanna Kruszewska Poland
Hassan S. El Khadem United States
Sanja Koštrun Croatia
B. F. Garifullin Russia
Asghar Davood Iran
Hülya Karaca Türkiye
Lungile Sitole South Africa
Ivan Butula Croatia
Marek Sochacki Poland
Wenbin Jin China
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Citations per field
00.5×4.3×
Hanna Kruszewska · 1×
Citations per year

Countries citing papers authored by Jonathan R. Daft

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan R. Daft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan R. Daft. 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 Jonathan R. Daft. The network helps show where Jonathan R. Daft may publish in the future.

Co-authors

The 21 scholars most cited alongside Jonathan R. Daft, 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 Jonathan R. Daft Line = papers co-authored together Jonathan R. Daft links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003164
2 200260
3 200324
4 200122
5 200122
6 200019
7 200918
8 200713
9 200710
10 20075

About Jonathan R. Daft

Jonathan R. Daft is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Organic Chemistry and Toxicology, having authored 10 papers that have together received 357 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (2 papers), Drug Transport and Resistance Mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), HIV/AIDS drug development and treatment (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Fungal Biology and Applications (1 paper). The work is most often cited by research in Toxicology (28 citations), Organic Chemistry (134 citations), Analytical Chemistry (34 citations), Physiology (15 citations) and Food Science (46 citations). Jonathan R. Daft has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Peter M. Gannett, Kevin H. Shaughnessy, Edward M. Johnson, Frank J Schenck, Patrick S. Callery, Steven J. Lehotay, T. S. Tracy, D. Andrew James, Deborah James and Jon D. Epperson. Their work appears in journals such as Journal of Analytical Toxicology, Chemical Research in Toxicology, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Nucleosides Nucleotides & Nucleic Acids.

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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