Lucina E. Lizarraga
- Chemical Health and Safety top 10%
- Small Animals top 10%
- Animal testing and alternatives 2
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis 3
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- Computational Drug Discovery Methods 5
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- Effects and risks of endocrine disrupting chemicals 3
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- Chemistry and Chemical Engineering 2
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- Plant Molecular Biology Research 2
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- Neurotransmitter Receptor Influence on Behavior 2
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- Cannabis and Cannabinoid Research 2
- Co-authors
- Grace PatlewiczJason C. LambertBrian A. LarkinsPaolo A. SabelliImran ShahM CroninTerrence J. MonksRicardo A. Dante
- Journals
- Regulatory Toxicology and Pharmacology (4 papers)Toxicological Sciences (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Lucina E. Lizarraga
14 papers receiving 270 citations
Peers
Comparison fields: 5 of 69
- Chemical Health and Safety 9
- Small Animals 50
- Toxicology 21
- Computational Theory and Mathematics 63
- Health, Toxicology and Mutagenesis 47
Countries citing papers authored by Lucina E. Lizarraga
This map shows the geographic impact of Lucina E. Lizarraga'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 Lucina E. Lizarraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucina E. Lizarraga more than expected).
Fields of papers citing papers by Lucina E. Lizarraga
This network shows the impact of papers produced by Lucina E. Lizarraga. 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 Lucina E. Lizarraga. The network helps show where Lucina E. Lizarraga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lucina E. Lizarraga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2022 | 14 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 23 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 25 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 42 | |
| 9 | 2015 | 1 | |
| 10 | 2014 | 15 | |
| 11 | 2014 | 17 | |
| 12 | 2014 | 5 | |
| 13 | 2013 | 76 | |
| 14 | 2009 | 29 |
About Lucina E. Lizarraga
Lucina E. Lizarraga is a scholar working on Toxicology, Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals and Environmental Chemistry, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Forensic Toxicology and Drug Analysis (3 papers), Chemistry and Chemical Engineering (2 papers), Plant Molecular Biology Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Cannabis and Cannabinoid Research (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Chemical Health and Safety (9 citations), Small Animals (50 citations), Toxicology (21 citations), Computational Theory and Mathematics (63 citations) and Health, Toxicology and Mutagenesis (47 citations). Lucina E. Lizarraga has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Grace Patlewicz, Jason C. Lambert, Brian A. Larkins, Paolo A. Sabelli, Imran Shah, M Cronin, Terrence J. Monks, Ricardo A. Dante, J. Klingler and Jingjuan Yu. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Toxicological Sciences, Proceedings of the National Academy of Sciences, Toxicology Letters and Computational Toxicology.
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.