María E. Reverón

772 citations
9 papers · 592 indexed · h-index 9
Topics
Neurotransmitter Receptor Influence on Behavior (5 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)Forensic Toxicology and Drug Analysis (4 papers)
Partner nations
United States

In The Last Decade

María E. Reverón

9 papers receiving 572 citations

Peers

María E. Reverón
Comparison fields: 5 of 69
  • Neurology 326
  • Cellular and Molecular Neuroscience 315
  • Physiology 74
  • Neurology 70
  • Molecular Biology 62
Replace Kimberly G. Freeman with:
Kimberly G. Freeman United States
Fredric B. Weihmuller United States
Katherine L. Widnell United States
Madhavi Thomas United States
Ann M. Hemmerle United States
Fong-Sen Wu Taiwan
Alicja Lerner United States
Marta Vučković United States
Zan‐Min Song Australia
Melanie Brandabur United States
María E. Reverón relative to Kimberly G. Freeman United States Kimberly G. Freeman's profile →
Citations per field
00.5×2.8×
Kimberly G. Freeman · 1×
Citations per year

Countries citing papers authored by María E. Reverón

Since Specialization
Citations

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

Fields of papers citing papers by María E. Reverón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María E. Reverón. 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 María E. Reverón. The network helps show where María E. Reverón may publish in the future.

Co-authorship network of co-authors of María E. Reverón

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 27
2 27
3 10
4 11
5 11
6 21
7 313
8 158
9 14

About María E. Reverón

María E. Reverón is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Neurology, having authored 9 papers that have together received 592 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Forensic Toxicology and Drug Analysis (4 papers). The work is most often cited by research in Neurology (326 citations), Cellular and Molecular Neuroscience (315 citations) and Toxicology (57 citations). María E. Reverón has collaborated with scholars based in United States. Frequent co-authors include Gary W. Miller, Jennifer L. Tillerson, W. Michael Caudle, Christine L. Duvauchelle, Esther Y. Maier, Terrence J. Monks, Andrea C. Gore, Deena M. Walker, Sarah M. Dickerson and Katerina V. Savelieva. Their work appears in journals such as Neuroscience, Experimental Neurology and Behavioural Brain Research.

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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