Leo J. Schep

35 papers receiving 1.3k citations

Peers

Leo J. Schep
Comparison fields: 5 of 143
  • Toxicology 245
  • Emergency Medicine 182
  • Pharmaceutical Science 95
  • Pharmacology 109
  • Cellular and Molecular Neuroscience 142
Replace Robin J Slaughter with:
Robin J Slaughter New Zealand
Ian R. Tebbett United States
Diana Dias da Silva Portugal
J Allister Vale United Kingdom
A. Robert Jeffcoat United States
Min Shen China
Naoko Tanaka Japan
Gabriella Roda Italy
D. Michael G. Beasley New Zealand
C. Locatelli Italy
Leo J. Schep relative to Robin J Slaughter New Zealand Robin J Slaughter's profile →
Citations per field
00.5×10×13.6×
Robin J Slaughter · 1×
Citations per year

Countries citing papers authored by Leo J. Schep

Since Specialization
Citations

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

Fields of papers citing papers by Leo J. Schep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo J. Schep. 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 Leo J. Schep. The network helps show where Leo J. Schep may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019133
2 2012128
3 2009123
4 2014117
5 1999111
6 2010110
7 200983
8 201158
9 200954
10 200943
11 201543
12 200641
13 201339
14 202334
15
Hospitalisation associated with use of the synthetic cannabinoid K2.
201334
16 199525
17
Poisonous plants in New Zealand: a review of those that are most commonly enquired about to the National Poisons Centre.
201223
18 201323
19 199921
20 199718

About Leo J. Schep

Leo J. Schep is a scholar working on Molecular Biology, Emergency Medicine, Toxicology, Infectious Diseases and Aquatic Science, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (4 papers), Poisoning and overdose treatments (4 papers), Antifungal resistance and susceptibility (3 papers), Reproductive biology and impacts on aquatic species (3 papers), Aquaculture Nutrition and Growth (3 papers), Aquaculture disease management and microbiota (2 papers), Environmental Chemistry and Analysis (1 paper) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Toxicology (245 citations), Emergency Medicine (182 citations), Pharmaceutical Science (95 citations), Pharmacology (109 citations) and Cellular and Molecular Neuroscience (142 citations). Leo J. Schep has collaborated with scholars based in New Zealand, United Kingdom and Singapore. Frequent co-authors include Robin J Slaughter, D. Michael G. Beasley, Wayne A. Temple, Allister Vale, Gordon Becket, J Allister Vale, Martin Watts, Paul Gee, Kai Knudsen and Bruno Mégarbane. Their work appears in journals such as Clinical Toxicology, International Journal of Pharmaceutics, Journal of Comparative Physiology B, Pharmaceutical Research and Environment International.

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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