Rafael Lancelotta

32 total papers · 1.3k total citations
20 papers, 880 citations indexed

About

Rafael Lancelotta is a scholar working on Clinical Psychology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rafael Lancelotta has authored 20 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Clinical Psychology, 10 papers in Organic Chemistry and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rafael Lancelotta's work include Psychedelics and Drug Studies (20 papers), Chemical synthesis and alkaloids (10 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Rafael Lancelotta is often cited by papers focused on Psychedelics and Drug Studies (20 papers), Chemical synthesis and alkaloids (10 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Rafael Lancelotta collaborates with scholars based in United States, Netherlands and United Kingdom. Rafael Lancelotta's co-authors include Alan K. Davis, Johannes G. Ramaekers, Malin V. Uthaug, Joseph P. Barsuglia, Roland R. Griffiths, Geoff J. Bathje, Christina Chwyl, Jason B. Luoma, Robert M. Grant and Jordi Riba and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Journal of Affective Disorders.

In The Last Decade

Rafael Lancelotta

20 papers receiving 856 citations

Author Peers

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

Author						Papers	Cites
Rafael Lancelotta	820	481	369	140	87	20	880
Malin V. Uthaug	811 1.0×	444 0.9×	368 1.0×	208 1.5×	73 0.8×	21	867
Theresa M. Carbonaro	849 1.0×	532 1.1×	427 1.2×	167 1.2×	49 0.6×	17	955
Laura Ley	814 1.0×	498 1.0×	459 1.2×	147 1.1×	61 0.7×	23	868
Nadia R. P. W. Hutten	679 0.8×	380 0.8×	421 1.1×	117 0.8×	78 0.9×	25	849
Jacob S. Aday	845 1.0×	535 1.1×	326 0.9×	121 0.9×	40 0.5×	37	963
Earth Erowid	540 0.7×	339 0.7×	280 0.8×	101 0.7×	42 0.5×	18	802
Fire Erowid	539 0.7×	339 0.7×	280 0.8×	101 0.7×	42 0.5×	17	803
Ido Hartogsohn	868 1.1×	433 0.9×	271 0.7×	175 1.3×	34 0.4×	15	917
Daniel Perkins	581 0.7×	289 0.6×	239 0.6×	171 1.2×	77 0.9×	42	773
Alexandra C. Greb	704 0.9×	427 0.9×	507 1.4×	133 0.9×	125 1.4×	8	834

Countries citing papers authored by Rafael Lancelotta

Since Specialization

Citations

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

Fields of papers citing papers by Rafael Lancelotta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Lancelotta

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