Marlene Becerra

637 total citations
2 papers, 10 citations indexed

About

Marlene Becerra is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Infectious Diseases. According to data from OpenAlex, Marlene Becerra has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cellular and Molecular Neuroscience, 1 paper in Cognitive Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in Marlene Becerra's work include Visual perception and processing mechanisms (1 paper), Neural dynamics and brain function (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). Marlene Becerra is often cited by papers focused on Visual perception and processing mechanisms (1 paper), Neural dynamics and brain function (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). Marlene Becerra collaborates with scholars based in United States. Marlene Becerra's co-authors include Lin Gou, Hong‐Wei Dong, Nora L. Benavidez, Michael S. Bienkowski, Zoe M. Smith and Darrin J. Lee and has published in prestigious journals such as The Journal of Comparative Neurology and Alzheimer s & Dementia.

In The Last Decade

Marlene Becerra

1 paper receiving 10 citations

Peers

Marlene Becerra
Comparison fields: 5 of 9
  • Cognitive Neuroscience 8
  • Cellular and Molecular Neuroscience 5
  • Biophysics 2
  • Molecular Biology 1
  • Social Psychology 1
Replace Pablo Fernández-González with:
Pablo Fernández-González Spain
John Thorp United States
D. Terhorst Germany
Alexander Gillespie United Kingdom
K. J. Zhu China
Jia-Ren Chang Taiwan
Zuriñe Ortiz de Zárate Spain
Brittany Bowes United States
Dongdong Wu China
Jordana Remz Canada
Pablo Fernández-González Spain View profile →
Citations per field, relative to Marlene Becerra
Marlene Becerra · 1×
Citations per year, relative to Marlene Becerra
Marlene Becerra · 1×

Countries citing papers authored by Marlene Becerra

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Becerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Becerra

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

All Works

2 of 2 papers shown
# Work Indexed citations
1 0
2 10

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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2026