Patrick Hays

1.4k citations
47 papers · 870 · h-index 16

Impact in

  • Toxicology top 1%
    • Forensic Toxicology and Drug Analysis
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

    • Analytical Chemistry and Chromatography 13
    • Mass Spectrometry Techniques and Applications 5
    • 2D Materials and Applications 8

Patrick Hays

41 papers receiving 813 citations

Peers

Patrick Hays
Comparison fields: 5 of 113
  • Toxicology 168
  • Spectroscopy 277
  • Human-Computer Interaction 62
  • Computer Science Applications 57
  • Analytical Chemistry 74
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Patrick Hays relative to Jonathan Mason Australia Jonathan Mason's profile →
Citations per field
00.5×11.4×
Jonathan Mason · 1×
Citations per year

Countries citing papers authored by Patrick Hays

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012195
2 202368
3 200453
4 200451
5 200546
6 200244
7 200031
8 198630
9 200628
10 200128
11 199526
12
Identification of Levamisole Impurities Found in Illicit Cocaine Exhibits
200826
13 201522
14 199820
15 200919
16 199417
17 201815
18 201815
19 200712
20 201412

About Patrick Hays

Patrick Hays is a scholar working on Spectroscopy, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Toxicology, having authored 47 papers that have together received 870 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (13 papers), 2D Materials and Applications (8 papers), Forensic Toxicology and Drug Analysis (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Perovskite Materials and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Toxicology (168 citations), Spectroscopy (277 citations), Human-Computer Interaction (62 citations), Computer Science Applications (57 citations) and Analytical Chemistry (74 citations). Patrick Hays has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Ira S. Lurie, Andrew M. Olney, Sidney K. D’Mello, Claire Williams, John F. Casale, Sini Panicker, Steven G. Toske, JF Casale, Sefaattin Tongay and Takashi Taniguchi. Their work appears in journals such as Journal of Forensic Sciences, Forensic Chemistry, Journal of Chromatography A, Nature Communications and Drug Testing and Analysis.

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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