Laura Train
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- Pharmaceutical Practices and Patient Outcomes
Papers in
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- Ion channel regulation and function 1
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- Cardiac electrophysiology and arrhythmias 1
- Co-authors
- Linnea M. Baudhuin (10 shared papers)Susan A. Lagerstedt (3 shared papers)Michael J. Ackerman (2 shared papers)Sandra E. Peterson (3 shared papers)Yuan Ji (1 shared paper)Matthew J. Ferber (1 shared paper)Jennifer M. Skierka (1 shared paper)Joseph H. Blommel (1 shared paper)
- Journals
- The American Journal of Cardiology (2 papers)Clinical Chemistry (1 paper)Pharmacogenomics (1 paper)European Journal of Human Genetics (1 paper)The Pharmacogenomics Journal (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Laura Train
10 papers receiving 278 citations
Peers
Comparison fields: 5 of 62
- Pharmacology 136
- Geriatrics and Gerontology 21
- Cardiology and Cardiovascular Medicine 98
- Pediatrics, Perinatology and Child Health 80
- Transplantation 7
Countries citing papers authored by Laura Train
This map shows the geographic impact of Laura Train'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 Laura Train with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Train more than expected).
Fields of papers citing papers by Laura Train
This network shows the impact of papers produced by Laura Train. 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 Laura Train. The network helps show where Laura Train may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Train, 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 | 2016 | 155 | |
| 2 | 2010 | 42 | |
| 3 | 2010 | 41 | |
| 4 | 2017 | 17 | |
| 5 | 2008 | 12 | |
| 6 | 2017 | 10 | |
| 7 | 2022 | 5 | |
| 8 | 2014 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 1 |
About Laura Train
Laura Train is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Pharmacology, having authored 10 papers that have together received 289 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer, Lipids, and Metabolism (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Genomics and Rare Diseases (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Pharmacology (136 citations), Geriatrics and Gerontology (21 citations), Cardiology and Cardiovascular Medicine (98 citations), Pediatrics, Perinatology and Child Health (80 citations) and Transplantation (7 citations). Laura Train has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Linnea M. Baudhuin, Susan A. Lagerstedt, Michael J. Ackerman, Sandra E. Peterson, Yuan Ji, Matthew J. Ferber, Jennifer M. Skierka, Joseph H. Blommel, Richard M. Weinshilboum and Suzette J. Bielinski. Their work appears in journals such as The American Journal of Cardiology, Clinical Chemistry, Pharmacogenomics, European Journal of Human Genetics and The Pharmacogenomics Journal.
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.