Verena M. Straub

10 total papers · 477 total citations
4 papers, 94 citations indexed

About

Verena M. Straub is a scholar working on Pharmacology, Organic Chemistry and Surgery. According to data from OpenAlex, Verena M. Straub has authored 4 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 1 paper in Organic Chemistry and 1 paper in Surgery. Recurrent topics in Verena M. Straub's work include Cannabis and Cannabinoid Research (2 papers), Alcohol Consumption and Health Effects (1 paper) and Forensic Toxicology and Drug Analysis (1 paper). Verena M. Straub is often cited by papers focused on Cannabis and Cannabinoid Research (2 papers), Alcohol Consumption and Health Effects (1 paper) and Forensic Toxicology and Drug Analysis (1 paper). Verena M. Straub collaborates with scholars based in Netherlands, United States and Poland. Verena M. Straub's co-authors include Mario van der Stelt, Gilles P. van Wezel, Antonius P. A. Janssen, Bogdan I. Florea, Nathaniel I. Martin, Mariana Ávalos, Richard J. B. H. N. van den Berg, J. G. Coen van Hasselt, Inge Huitinga and István Katona and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Annual Review of Pharmacology and Toxicology.

In The Last Decade

Verena M. Straub

3 papers receiving 93 citations

Author Peers

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

Author Last Decade Papers Cites
Verena M. Straub 61 30 27 10 10 4 94
Othman Benchama 65 1.1× 32 1.1× 26 1.0× 9 0.9× 9 0.9× 8 92
Jennifer L. Ray 87 1.4× 26 0.9× 18 0.7× 10 1.0× 15 1.5× 6 127
Stéphane Vannier 84 1.4× 21 0.7× 36 1.3× 18 1.8× 14 1.4× 5 156
Michelangelo Colavita 66 1.1× 20 0.7× 33 1.2× 6 0.6× 23 2.3× 3 111
Chiara Contri 52 0.9× 81 2.7× 27 1.0× 13 1.3× 8 0.8× 10 233
Marta Tojo 33 0.5× 34 1.1× 17 0.6× 20 2.0× 18 1.8× 5 77
Juan García Caldentey 77 1.3× 53 1.8× 88 3.3× 7 0.7× 4 0.4× 6 228
Lindsay Ng 46 0.8× 10 0.3× 15 0.6× 11 1.1× 8 0.8× 2 63
Jean Banister 32 0.5× 50 1.7× 33 1.2× 20 2.0× 5 0.5× 6 232
Eliana Kalakouti 59 1.0× 33 1.1× 20 0.7× 12 1.2× 2 0.2× 5 136

Countries citing papers authored by Verena M. Straub

Since Specialization
Citations

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

Fields of papers citing papers by Verena M. Straub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena M. Straub

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

All Works

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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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