Tal Lorberbaum
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 7
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- Receptor Mechanisms and Signaling 3
- Protein Degradation and Inhibitors 1
- Co-authors
- Nicholas P. Tatonetti (8 shared papers)Santiago Vilar (3 shared papers)George Hripcsak (3 shared papers)Eugenio Uriarte (1 shared paper)Lourdes Santana (1 shared paper)Carol Friedman (1 shared paper)Raymond L. Woosley (2 shared papers)Kevin J. Sampson (2 shared papers)
- Journals
- BioData Mining (1 paper)Drug Safety (1 paper)Cell Reports (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Tal Lorberbaum
8 papers receiving 382 citations
Peers
Comparison fields: 5 of 72
- Toxicology 73
- Computational Theory and Mathematics 267
- Pharmacology 68
- Molecular Biology 232
- Geriatrics and Gerontology 12
Countries citing papers authored by Tal Lorberbaum
This map shows the geographic impact of Tal Lorberbaum'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 Tal Lorberbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Lorberbaum more than expected).
Fields of papers citing papers by Tal Lorberbaum
This network shows the impact of papers produced by Tal Lorberbaum. 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 Tal Lorberbaum. The network helps show where Tal Lorberbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Tal Lorberbaum, 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 | 2014 | 196 | |
| 2 | 2016 | 52 | |
| 3 | 2015 | 33 | |
| 4 | 2016 | 31 | |
| 5 | 2014 | 30 | |
| 6 | 2016 | 23 | |
| 7 | 2015 | 21 | |
| 8 | 2020 | 7 |
About Tal Lorberbaum
Tal Lorberbaum is a scholar working on Computational Theory and Mathematics, Molecular Biology, Toxicology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 393 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Receptor Mechanisms and Signaling (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Protein Degradation and Inhibitors (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Plant-based Medicinal Research (1 paper). The work is most often cited by research in Toxicology (73 citations), Computational Theory and Mathematics (267 citations), Pharmacology (68 citations), Molecular Biology (232 citations) and Geriatrics and Gerontology (12 citations). Tal Lorberbaum has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Nicholas P. Tatonetti, Santiago Vilar, George Hripcsak, Eugenio Uriarte, Lourdes Santana, Carol Friedman, Raymond L. Woosley, Kevin J. Sampson, Robert S. Kass and Mary Regina Boland. Their work appears in journals such as BioData Mining, Drug Safety, Cell Reports, Clinical Pharmacology & Therapeutics and Journal of the American College of Cardiology.
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.