Melanie Mueller

29 total papers · 493 total citations
20 papers, 360 citations indexed

About

Melanie Mueller is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, Melanie Mueller has authored 20 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Toxicology, 12 papers in Cellular and Molecular Neuroscience and 12 papers in Clinical Psychology. Recurrent topics in Melanie Mueller's work include Forensic Toxicology and Drug Analysis (14 papers), Neurotransmitter Receptor Influence on Behavior (12 papers) and Psychedelics and Drug Studies (12 papers). Melanie Mueller is often cited by papers focused on Forensic Toxicology and Drug Analysis (14 papers), Neurotransmitter Receptor Influence on Behavior (12 papers) and Psychedelics and Drug Studies (12 papers). Melanie Mueller collaborates with scholars based in United States, Germany and France. Melanie Mueller's co-authors include George A. Ricaurte, Una D. McCann, Hans H. Maurer, Jie Yuan, Frank T. Peters, George Hatzidimitriou, Marilyn A. Huestis, Joyce Colussi‐Mas, Martine Largeron and Susan Schenk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Melanie Mueller

20 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Melanie Mueller	202	182	160	86	44	20	360
Peter Stockham	261 1.3×	48 0.3×	96 0.6×	38 0.4×	130 3.0×	28	392
Milena M. Madry	172 0.9×	29 0.2×	52 0.3×	28 0.3×	32 0.7×	17	342
P. R. Stout	200 1.0×	46 0.3×	60 0.4×	95 1.1×	60 1.4×	20	360
Michelle Taylor	32 0.2×	30 0.2×	50 0.3×	83 1.0×	78 1.8×	17	382
Mátyás Mayer	53 0.3×	44 0.2×	97 0.6×	53 0.6×	78 1.8×	27	376
Madeline A. Montgomery	220 1.1×	42 0.2×	69 0.4×	47 0.5×	65 1.5×	14	371
Ryouichi Nonaka	243 1.2×	178 1.0×	205 1.3×	104 1.2×	50 1.1×	9	393
Erin A Kolbrich	240 1.2×	111 0.6×	165 1.0×	115 1.3×	43 1.0×	8	318
Sascha K. Manier	194 1.0×	59 0.3×	72 0.5×	55 0.6×	181 4.1×	25	343
G. John Digregorio	59 0.3×	61 0.3×	15 0.1×	52 0.6×	67 1.5×	33	351

Countries citing papers authored by Melanie Mueller

Since Specialization

Citations

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

Fields of papers citing papers by Melanie Mueller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Mueller

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