Joseph M. Tonning

1.1k total citations
13 papers, 474 citations indexed

About

Joseph M. Tonning is a scholar working on Toxicology, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Joseph M. Tonning has authored 13 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Toxicology, 4 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Joseph M. Tonning's work include Pharmacovigilance and Adverse Drug Reactions (9 papers), Computational Drug Discovery Methods (4 papers) and Drug-Induced Adverse Reactions (3 papers). Joseph M. Tonning is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (9 papers), Computational Drug Discovery Methods (4 papers) and Drug-Induced Adverse Reactions (3 papers). Joseph M. Tonning collaborates with scholars based in United States, Thailand and United Kingdom. Joseph M. Tonning's co-authors include Ana Szarfman, Jonathan G. Levine, P. Murali Doraiswamy, Alfred Sorbello, Kirk Roberts, Dina Demner‐Fushman, Sumathi Nambiar, Peter W. Kim, Susan T. Sacks and Michael D. Blum and has published in prestigious journals such as SHILAP Revista de lepidopterología, Drug Safety and Scientific Data.

In The Last Decade

Joseph M. Tonning

12 papers receiving 457 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph M. Tonning 191 89 85 75 57 13 474
Kouichi Hosomi 136 0.7× 44 0.5× 103 1.2× 61 0.8× 52 0.9× 61 599
Sarah Watson 195 1.0× 59 0.7× 126 1.5× 85 1.1× 128 2.2× 16 840
Nancy Yuen 274 1.4× 96 1.1× 42 0.5× 101 1.3× 55 1.0× 9 509
Suzie Seabroke 210 1.1× 80 0.9× 37 0.4× 66 0.9× 88 1.5× 12 401
Ola Caster 412 2.2× 148 1.7× 60 0.7× 137 1.8× 51 0.9× 25 762
Charles M. Gerrits 327 1.7× 124 1.4× 132 1.6× 123 1.6× 52 0.9× 19 977
C. Kreft-Jaïs 245 1.3× 57 0.6× 69 0.8× 165 2.2× 45 0.8× 37 761
Akiko Tamon 310 1.6× 141 1.6× 225 2.6× 182 2.4× 46 0.8× 11 895
Stella G. Machado 320 1.7× 172 1.9× 123 1.4× 142 1.9× 107 1.9× 17 931
Johanna Strandell 243 1.3× 57 0.6× 31 0.4× 78 1.0× 27 0.5× 14 475

Countries citing papers authored by Joseph M. Tonning

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Tonning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Tonning. 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 Joseph M. Tonning. The network helps show where Joseph M. Tonning may publish in the future.

Co-authorship network of co-authors of Joseph M. Tonning

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Tonning. A scholar is included among the top collaborators of Joseph M. Tonning 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 Joseph M. Tonning. Joseph M. Tonning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Szarfman, Ana, Joseph M. Tonning, Frank Weichold, et al.. (2022). Recommendations for achieving interoperable and shareable medical data in the USA. SHILAP Revista de lepidopterología. 2(1). 86–86. 18 indexed citations
2.
Harpaz, Rave, et al.. (2022). Signaling COVID-19 Vaccine Adverse Events. Drug Safety. 45(7). 765–780. 15 indexed citations
3.
Demner‐Fushman, Dina, et al.. (2018). Adverse Reactions and Drug-Drug Interaction Extraction tracks at the Text Analysis Conference (TAC).. AMIA.
4.
Demner‐Fushman, Dina, Sonya E. Shooshan, Laritza Rodriguez, et al.. (2018). A dataset of 200 structured product labels annotated for adverse drug reactions. Scientific Data. 5(1). 180001–180001. 30 indexed citations
5.
Roberts, Kirk, Dina Demner‐Fushman, & Joseph M. Tonning. (2017). Overview of the TAC 2017 Adverse Reaction Extraction from Drug Labels Track.. Theory and applications of categories. 22 indexed citations
6.
Sorbello, Alfred, Joseph M. Tonning, Mónica Muñoz, et al.. (2017). Harnessing scientific literature reports for pharmacovigilance. Applied Clinical Informatics. 26(1). 291–305. 7 indexed citations
7.
8.
Winnenburg, Rainer, Alfred Sorbello, Rave Harpaz, et al.. (2015). Leveraging MEDLINE indexing for pharmacovigilance – Inherent limitations and mitigation strategies. Journal of Biomedical Informatics. 57. 425–435. 17 indexed citations
9.
Cope, Judith U., Gregory H. Reaman, & Joseph M. Tonning. (2015). Medication Exposures and Subsequent Development of Ewing Sarcoma: A Review of FDA Adverse Event Reports. Sarcoma. 2015. 1–11. 1 indexed citations
10.
11.
Kim, Peter W., et al.. (2012). Eosinophilic Pneumonia in Patients Treated with Daptomycin. Drug Safety. 35(6). 447–457. 61 indexed citations
12.
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. 102 indexed citations
13.
Almenoff, June S., Joseph M. Tonning, A. Lawrence Gould, et al.. (2005). Perspectives on the Use of Data Mining in Pharmacovigilance. Drug Safety. 28(11). 981–1007. 167 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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