W. Martz

608 citations
26 papers · 414 · h-index 10

Impact in

  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis
  • Pharmacology top 10%
    • Cannabis and Cannabinoid Research

Papers in

W. Martz

25 papers receiving 391 citations

Peers

W. Martz
Comparison fields: 5 of 77
  • Toxicology 109
  • Pharmacology 89
  • Pharmacology 43
  • Virology 22
  • Genetics 103
Replace Sahaphume Srisuma with:
Sahaphume Srisuma Thailand
Hiroyuki Inoue Japan
Dexter Tagwireyi Zimbabwe
Toshiaki Nagai Japan
K. Roels Belgium
Jan Cordonnier Belgium
Charline Bottinelli France
D. Noel Sims Australia
Makoto Nihira Japan
Flavio Zancanaro Italy
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Citations per field
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Sahaphume Srisuma · 1×
Citations per year

Countries citing papers authored by W. Martz

Since Specialization
Citations

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

Fields of papers citing papers by W. Martz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992124
2 201972
3 201649
4 201525
5 198819
6 202114
7 201914
8
Experimental poisoning of cattle and chicks with five species of Senecio.
199013
9 199612
10 199712
11 20209
12 19908
13 19927
14 20206
15 20216
16 20105
17 20104
18 19924
19 19863
20 20212

About W. Martz

W. Martz is a scholar working on Toxicology, Emergency Medicine, Molecular Biology, Pharmacology and Pathology and Forensic Medicine, having authored 26 papers that have together received 414 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (7 papers), Poisoning and overdose treatments (5 papers), Alcohol Consumption and Health Effects (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Glaucoma and retinal disorders (2 papers), Plant Toxicity and Pharmacological Properties (2 papers), Psychedelics and Drug Studies (2 papers) and Restraint-Related Deaths (2 papers). The work is most often cited by research in Toxicology (109 citations), Pharmacology (89 citations), Pharmacology (43 citations), Virology (22 citations) and Genetics (103 citations). W. Martz has collaborated with scholars based in Germany, Canada and Austria. Frequent co-authors include Roy Purssell, William E. Schreiber, Herbert Chan, Jeffrey R. Brubacher, Adam Lund, Mark Asbridge, Rollin Brant, Florian Veit, María Méndez and Shannon Erdelyi. Their work appears in journals such as Forensic Science International, International Journal of Legal Medicine, Journal of Analytical Toxicology, Toxicon and Origins of Life and Evolution of Biospheres.

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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