Mario Rivera‐Meza

675 total citations
33 papers, 509 citations indexed

About

Mario Rivera‐Meza is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Mario Rivera‐Meza has authored 33 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Mario Rivera‐Meza's work include Neurotransmitter Receptor Influence on Behavior (17 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (10 papers). Mario Rivera‐Meza is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (17 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (10 papers). Mario Rivera‐Meza collaborates with scholars based in Chile, Argentina and United States. Mario Rivera‐Meza's co-authors include Marı́a Elena Quintanilla, Mario Herrera‐Marschitz, Yedy Israel, Eduardo Karahanian, Lutske Tampier, Paola Morales, Pablo Berríos‐Cárcamo, Diego Bustamante, Amalia Sapag and Casilda V. Mura and has published in prestigious journals such as The FASEB Journal, Frontiers in Immunology and Neuropsychopharmacology.

In The Last Decade

Mario Rivera‐Meza

30 papers receiving 503 citations

Peers

Mario Rivera‐Meza
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 268
  • Molecular Biology 173
  • Pathology and Forensic Medicine 141
  • Physiology 76
  • Neurology 60
Replace Hisato Yanase with:
Hisato Yanase Japan
Siv Johnsen‐Soriano Spain
Yana Adamchik Canada
Pablo Berríos‐Cárcamo Chile
József Nagy Hungary
Wagner C. Martins Brazil
Thomas Grampp Switzerland
Carmen Pérez‐García Spain
C. Laigle France
Zhenxia Qin China
Hisato Yanase Japan View profile →
Citations per field, relative to Mario Rivera‐Meza
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Citations per year, relative to Mario Rivera‐Meza
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Countries citing papers authored by Mario Rivera‐Meza

Since Specialization
Citations

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

Fields of papers citing papers by Mario Rivera‐Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Rivera‐Meza. 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 Mario Rivera‐Meza. The network helps show where Mario Rivera‐Meza may publish in the future.

Co-authorship network of co-authors of Mario Rivera‐Meza

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 3
5 0
6 2
7 3
8 3
9 5
10 3
11 12
12 7
13 24
14 18
15 33
16 18
17 13
18 32
19 2
20 95

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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