Alexandra Maas

44 total papers · 604 total citations
30 papers, 453 citations indexed

About

Alexandra Maas is a scholar working on Toxicology, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Alexandra Maas has authored 30 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Toxicology, 9 papers in Pathology and Forensic Medicine and 8 papers in Pharmacology. Recurrent topics in Alexandra Maas's work include Forensic Toxicology and Drug Analysis (17 papers), Alcohol Consumption and Health Effects (9 papers) and Cannabis and Cannabinoid Research (6 papers). Alexandra Maas is often cited by papers focused on Forensic Toxicology and Drug Analysis (17 papers), Alcohol Consumption and Health Effects (9 papers) and Cannabis and Cannabinoid Research (6 papers). Alexandra Maas collaborates with scholars based in Germany, China and France. Alexandra Maas's co-authors include Burkhard Madea, Cornelius Heß, Cornelius Heß, H. D. Beckey, Christoph Maier, H. Meyer, Yvonne Marshall, Rudolf Holze, H. Dabringhaus and B. Stein and has published in prestigious journals such as Analytical and Bioanalytical Chemistry, Journal of Crystal Growth and Journal of Pharmaceutical and Biomedical Analysis.

In The Last Decade

Alexandra Maas

29 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Alexandra Maas	262	110	81	77	62	30	453
Guido Romano	253 1.0×	79 0.7×	105 1.3×	49 0.6×	60 1.0×	31	529
Yonghoon Park	337 1.3×	106 1.0×	97 1.2×	102 1.3×	87 1.4×	28	488
Peter Ondra	114 0.4×	78 0.7×	87 1.1×	32 0.4×	66 1.1×	28	415
Peter Rösner	218 0.8×	105 1.0×	123 1.5×	50 0.6×	61 1.0×	24	522
Laureen J. Marinetti	414 1.6×	157 1.4×	64 0.8×	107 1.4×	71 1.1×	16	550
Giulia Stocchero	245 0.9×	52 0.5×	153 1.9×	36 0.5×	42 0.7×	16	448
Nunziata Barbera	207 0.8×	58 0.5×	37 0.5×	43 0.6×	53 0.9×	32	441
Helga Köhler	170 0.6×	100 0.9×	118 1.5×	42 0.5×	73 1.2×	33	549
T. Ishida	132 0.5×	41 0.4×	96 1.2×	45 0.6×	45 0.7×	38	471
Melissa F. Fogarty	313 1.2×	89 0.8×	72 0.9×	78 1.0×	89 1.4×	17	434

Countries citing papers authored by Alexandra Maas

Since Specialization

Citations

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

Fields of papers citing papers by Alexandra Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra Maas. 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 Alexandra Maas. The network helps show where Alexandra Maas may publish in the future.

Co-authorship network of co-authors of Alexandra Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Maas. A scholar is included among the top collaborators of Alexandra Maas 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 Alexandra Maas. Alexandra Maas 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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