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 5
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- Pharmacovigilance and Adverse Drug Reactions 3
- Co-authors
- Nicholas P. Tatonetti (8 shared papers)Santiago Vilar (3 shared papers)George Hripcsak (3 shared papers)Carol Friedman (1 shared paper)Eugenio Uriarte (1 shared paper)Lourdes Santana (1 shared paper)Robert S. Kass (2 shared papers)Kevin J. Sampson (2 shared papers)
- Journals
- Nature Protocols (1 paper)WIREs Systems Biology and Medicine (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Cell Reports (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Tal Lorberbaum
8 papers receiving 423 citations
Peers
Comparison fields: 5 of 67
- Toxicology 70
- Computational Theory and Mathematics 263
- Pharmacology 63
- Geriatrics and Gerontology 11
- Molecular Biology 210
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 | 219 | |
| 2 | 2016 | 55 | |
| 3 | 2015 | 38 | |
| 4 | 2014 | 37 | |
| 5 | 2016 | 32 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 21 | |
| 8 | 2020 | 8 |
About Tal Lorberbaum
Tal Lorberbaum is a scholar working on Computational Theory and Mathematics, Toxicology, Pharmacology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 434 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ubiquitin and proteasome pathways (1 paper), Receptor Mechanisms and Signaling (1 paper), Protein Degradation and Inhibitors (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Toxicology (70 citations), Computational Theory and Mathematics (263 citations), Pharmacology (63 citations), Geriatrics and Gerontology (11 citations) and Molecular Biology (210 citations). Tal Lorberbaum has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include Nicholas P. Tatonetti, Santiago Vilar, George Hripcsak, Carol Friedman, Eugenio Uriarte, Lourdes Santana, Robert S. Kass, Kevin J. Sampson, Raymond L. Woosley and Mary Regina Boland. Their work appears in journals such as Nature Protocols, WIREs Systems Biology and Medicine, Clinical Pharmacology & Therapeutics, Cell Reports 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.