Tal Lorberbaum

682 total citations
8 papers, 393 citations indexed

About

Tal Lorberbaum is a scholar working on Computational Theory and Mathematics, Molecular Biology and Toxicology. According to data from OpenAlex, Tal Lorberbaum has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 3 papers in Toxicology. Recurrent topics in Tal Lorberbaum's work include Computational Drug Discovery Methods (7 papers), Receptor Mechanisms and Signaling (3 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Tal Lorberbaum is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Receptor Mechanisms and Signaling (3 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Tal Lorberbaum collaborates with scholars based in United States, United Kingdom and Spain. Tal Lorberbaum's co-authors include Nicholas P. Tatonetti, Santiago Vilar, George Hripcsak, Lourdes Santana, Carol Friedman, Eugenio Uriarte, Robert S. Kass, Kevin J. Sampson, Raymond L. Woosley and Mary Regina Boland and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Nature Protocols.

In The Last Decade

Tal Lorberbaum

8 papers receiving 382 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tal Lorberbaum United States	8	267	232	73	68	46	8	393
Ernst Ahlberg Sweden	12	172 0.6×	124 0.5×	28 0.4×	20 0.3×	45 1.0×	26	338
Ruoqi Liu United States	10	259 1.0×	277 1.2×	14 0.2×	31 0.5×	34 0.7×	23	508
Jayme Holmes United States	8	394 1.5×	471 2.0×	12 0.2×	79 1.2×	37 0.8×	11	678
Nicolas Bosc United Kingdom	9	419 1.6×	424 1.8×	10 0.1×	34 0.5×	124 2.7×	13	715
Harris Ioannidis United Kingdom	7	288 1.1×	366 1.6×	9 0.1×	23 0.3×	102 2.2×	8	592
Hitomi Yuki Japan	15	252 0.9×	299 1.3×	9 0.1×	103 1.5×	73 1.6×	29	565
Liang‐Chin Huang United States	11	161 0.6×	202 0.9×	56 0.8×	52 0.8×	5 0.1×	20	381
Tevfik Kizilören United Kingdom	3	267 1.0×	264 1.1×	9 0.1×	23 0.3×	81 1.8×	5	490
Ji-Xia Ren China	10	192 0.7×	235 1.0×	31 0.4×	22 0.3×	24 0.5×	21	451

Countries citing papers authored by Tal Lorberbaum

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tal Lorberbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Lorberbaum. A scholar is included among the top collaborators of Tal Lorberbaum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tal Lorberbaum. Tal Lorberbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Thangaraj, Phyllis, Benjamin Kummer, Tal Lorberbaum, Mitchell S.V. Elkind, & Nicholas P. Tatonetti. (2020). Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. BioData Mining. 13(1). 21–21. 7 indexed citations

Lorberbaum, Tal, Kevin J. Sampson, Jeremy Chang, et al.. (2016). Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation. Journal of the American College of Cardiology. 68(16). 1756–1764. 52 indexed citations

Gayvert, Kaitlyn, Étienne Dardenne, Cynthia Cheung, et al.. (2016). A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors. Cell Reports. 15(11). 2348–2356. 31 indexed citations

Lorberbaum, Tal, Kevin J. Sampson, Raymond L. Woosley, Robert S. Kass, & Nicholas P. Tatonetti. (2016). An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval. Drug Safety. 39(5). 433–441. 23 indexed citations

Vilar, Santiago, Tal Lorberbaum, George Hripcsak, & Nicholas P. Tatonetti. (2015). Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling. PLoS ONE. 10(6). e0129974–e0129974. 21 indexed citations

Boland, Mary Regina, et al.. (2015). Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. WIREs Systems Biology and Medicine. 8(2). 104–122. 33 indexed citations

Vilar, Santiago, Eugenio Uriarte, Lourdes Santana, et al.. (2014). Similarity-based modeling in large-scale prediction of drug-drug interactions. Nature Protocols. 9(9). 2147–2163. 196 indexed citations

Lorberbaum, Tal, et al.. (2014). Systems Pharmacology Augments Drug Safety Surveillance. Clinical Pharmacology & Therapeutics. 97(2). 151–158. 30 indexed citations

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.

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