María José Polanco

526 citations
19 papers · 388 indexed · h-index 11
    • Genetic Neurodegenerative Diseases 9
    • Neuroscience and Neuropharmacology Research 3
    • Neurotransmitter Receptor Influence on Behavior 3
    • Neuropeptides and Animal Physiology 3
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research 5
    • Muscle Physiology and Disorders 6
    • Pharmacological Receptor Mechanisms and Effects 3
    • Protein Hydrolysis and Bioactive Peptides 2

María José Polanco

19 papers receiving 385 citations

Peers

María José Polanco
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 188
  • Genetics 98
  • Molecular Biology 265
  • Neurology 56
  • Cell Biology 53
Replace Chiara Scaramuzzino with:
Chiara Scaramuzzino France
Saeko Ishida Japan
Sarah E. Collins United States
Paweł M. Świtoński Poland
Isabel Onofre Portugal
Alexander Starr United States
Carol X.‐Q. Chen Canada
P. Thomas United States
Daniele Galatolo Italy
Katarina Stoklund Dittlau Belgium
María José Polanco relative to Chiara Scaramuzzino France Chiara Scaramuzzino's profile →
Citations per field
00.5×1.5×
Chiara Scaramuzzino · 1×
Citations per year

Countries citing papers authored by María José Polanco

Since Specialization
Citations

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

Fields of papers citing papers by María José Polanco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside María José Polanco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with María José Polanco Line = papers co-authored together María José Polanco links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20243
2 202024
3 202013
4 20183
5 201714
6 201731
7 201724
8 201637
9 201546
10 201584
11 201431
12 20128
13 20125
14 20113
15 201036
16 20098
17 20084
18 19923
19 199011

About María José Polanco

María José Polanco is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology, having authored 19 papers that have together received 388 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Muscle Physiology and Disorders (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuropeptides and Animal Physiology (3 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (188 citations), Genetics (98 citations) and Molecular Biology (265 citations). María José Polanco has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Maria Pennuto, Udai Bhan Pandey, Carmelo Milioto, Fabio Sambataro, Luis F. Alguacil, Tanya Aggarwal, Chiara Scaramuzzino, Carmen González‐Martín, Manuela Basso and Sara Parodi.

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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