Jonathan G. Levine

1.4k total citations
8 papers, 615 citations indexed

About

Jonathan G. Levine is a scholar working on Toxicology, Pharmacology and Statistics and Probability. According to data from OpenAlex, Jonathan G. Levine has authored 8 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Toxicology, 2 papers in Pharmacology and 2 papers in Statistics and Probability. Recurrent topics in Jonathan G. Levine's work include Pharmacovigilance and Adverse Drug Reactions (3 papers), Statistical Methods in Clinical Trials (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). Jonathan G. Levine is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (3 papers), Statistical Methods in Clinical Trials (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). Jonathan G. Levine collaborates with scholars based in United States and Thailand. Jonathan G. Levine's co-authors include Nathaniel P. Katz, Robert N. Jamison, Stephen A. Raymond, Ellen Slawsby, Srdjan S. Nedeljković, Ana Szarfman, Joseph M. Tonning, P. Murali Doraiswamy, David H. Fram and Margaret Daly and has published in prestigious journals such as Pain, Journal of the American Medical Informatics Association and Drug Safety.

In The Last Decade

Jonathan G. Levine

8 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan G. Levine United States	7	145	97	97	76	59	8	615
Joanne Ho Canada	14	123 0.8×	49 0.5×	170 1.8×	108 1.4×	88 1.5×	37	905
Ruth Brauer United Kingdom	20	87 0.6×	110 1.1×	182 1.9×	128 1.7×	41 0.7×	47	1.1k
John P. Morgan United States	16	103 0.7×	97 1.0×	51 0.5×	89 1.2×	77 1.3×	39	840
S. Welch Canada	8	72 0.5×	61 0.6×	86 0.9×	36 0.5×	46 0.8×	10	724
Julie L. Cunningham United States	18	242 1.7×	196 2.0×	97 1.0×	75 1.0×	86 1.5×	49	999
Basil G. Bereza Canada	15	156 1.1×	53 0.5×	83 0.9×	73 1.0×	59 1.0×	22	556
Natasha Thon Austria	18	95 0.7×	28 0.3×	75 0.8×	39 0.5×	87 1.5×	31	895
Sarah H. Chung United States	11	73 0.5×	60 0.6×	83 0.9×	98 1.3×	34 0.6×	27	621
Jeannette Y. Wick United States	11	61 0.4×	31 0.3×	101 1.0×	105 1.4×	74 1.3×	109	876
Charles A. Odonkor United States	15	135 0.9×	33 0.3×	75 0.8×	55 0.7×	131 2.2×	53	778

Countries citing papers authored by Jonathan G. Levine

Since Specialization

Citations

This map shows the geographic impact of Jonathan G. Levine'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 Jonathan G. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan G. Levine more than expected).

Fields of papers citing papers by Jonathan G. Levine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan G. Levine. 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 Jonathan G. Levine. The network helps show where Jonathan G. Levine may publish in the future.

Co-authorship network of co-authors of Jonathan G. Levine

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan G. Levine. A scholar is included among the top collaborators of Jonathan G. Levine 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 Jonathan G. Levine. Jonathan G. Levine 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

Piasini, Eugenio, Alexandre L. S. Filipowicz, Jonathan G. Levine, & Joshua I. Gold. (2021). Embo: a Python package for empirical data analysis using the Information Bottleneck. Journal of Open Research Software. 9(1). 10–10. 1 indexed citations

Kass‐Hout, Taha, et al.. (2015). OpenFDA: an innovative platform providing access to a wealth of FDA’s publicly available data. Journal of the American Medical Informatics Association. 23(3). 596–600. 68 indexed citations

Brinker, Allen, et al.. (2013). Profiling Cumulative Proportional Reporting Ratios of Drug-Induced Liver Injury in the FDA Adverse Event Reporting System (FAERS) Database. Drug Safety. 36(12). 1169–1178. 29 indexed citations

Colman, Eric, et al.. (2008). An evaluation of a data mining signal for amyotrophic lateral sclerosis and statins detected in FDA's spontaneous adverse event reporting system. Pharmacoepidemiology and Drug Safety. 17(11). 1068–1076. 41 indexed citations

Szarfman, Ana, Joseph M. Tonning, Jonathan G. Levine, & P. Murali Doraiswamy. (2006). Atypical Antipsychotics and Pituitary Tumors: A Pharmacovigilance Study. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 26(6). 748–758. 106 indexed citations

Berger, Vance W., Clifford E. Lunneborg, Michael D. Ernst, & Jonathan G. Levine. (2002). Parametric analyses in randomized clinical trials. Journal of Modern Applied Statistical Methods. 1(1). 74–82. 16 indexed citations

Jamison, Robert N., Richard H. Gracely, Stephen A. Raymond, et al.. (2002). Comparative study of electronic vs. paper VAS ratings: a randomized, crossover trial using healthy volunteers. Pain. 99(1). 341–347. 156 indexed citations

Jamison, Robert N., Stephen A. Raymond, Jonathan G. Levine, et al.. (2001). Electronic diaries for monitoring chronic pain: 1-year validation study. Pain. 91(3). 277–285. 198 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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