Ly Pham
Impact in
- Chemical Health and Safety top 10%
- Small Animals top 5%
- Animal testing and alternatives
Papers in ⓘ
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- Metabolomics and Mass Spectrometry Studies 2
-
- Animal testing and alternatives 7
- Co-authors
- W. Taylor Kimberly (6 shared papers)Karen L. Furie (4 shared papers)Daniel Truong (3 shared papers)Kwok‐Keung Tai (3 shared papers)Katie Paul Friedman (7 shared papers)Robert E. Gerszten (2 shared papers)Yu Wang (1 shared paper)Thomas W.K. Battey (3 shared papers)
- Journals
- Stroke (4 papers)Food and Chemical Toxicology (2 papers)Regulatory Toxicology and Pharmacology (2 papers)Reproductive Toxicology (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Ly Pham
26 papers receiving 616 citations
Peers
Comparison fields: 5 of 104
- Chemical Health and Safety 10
- Small Animals 85
- Neurology 70
- Health, Toxicology and Mutagenesis 111
- Neurology 88
Countries citing papers authored by Ly Pham
This map shows the geographic impact of Ly Pham'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 Ly Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ly Pham more than expected).
Fields of papers citing papers by Ly Pham
This network shows the impact of papers produced by Ly Pham. 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 Ly Pham. The network helps show where Ly Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Ly Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2013 | 72 | |
| 3 | 2019 | 63 | |
| 4 | 2008 | 57 | |
| 5 | 2020 | 48 | |
| 6 | 2014 | 48 | |
| 7 | 2019 | 40 | |
| 8 | 2016 | 33 | |
| 9 | 2011 | 24 | |
| 10 | 2019 | 21 | |
| 11 | 2009 | 21 | |
| 12 | 2019 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2020 | 11 | |
| 15 | 2017 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2009 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 3 |
About Ly Pham
Ly Pham is a scholar working on Molecular Biology, Small Animals, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Epidemiology, having authored 27 papers that have together received 626 indexed citations. Recurring topics across this work include Animal testing and alternatives (7 papers), Computational Drug Discovery Methods (6 papers), Acute Ischemic Stroke Management (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Neuroscience and Neural Engineering (2 papers), Pesticide Exposure and Toxicity (2 papers), Pesticide Residue Analysis and Safety (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Chemical Health and Safety (10 citations), Small Animals (85 citations), Neurology (70 citations), Health, Toxicology and Mutagenesis (111 citations) and Neurology (88 citations). Ly Pham has collaborated with scholars based in United States, Canada and France. Frequent co-authors include W. Taylor Kimberly, Karen L. Furie, Daniel Truong, Kwok‐Keung Tai, Katie Paul Friedman, Robert E. Gerszten, Yu Wang, Thomas W.K. Battey, Matthew T. Martin and R. Woodrow Setzer. Their work appears in journals such as Stroke, Food and Chemical Toxicology, Regulatory Toxicology and Pharmacology, Reproductive Toxicology and International Journal of Radiation Oncology*Biology*Physics.
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.