Fernando E. Herrera

530 citations
17 papers · 448 · h-index 11

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Alzheimer's disease research and treatments

Papers in

    • Lipid Membrane Structure and Behavior 6
    • Protein Structure and Dynamics 2
    • Sphingolipid Metabolism and Signaling 2
    • Parkinson's Disease Mechanisms and Treatments 3
    • Neurological disorders and treatments 2

Fernando E. Herrera

17 papers receiving 445 citations

Peers

Fernando E. Herrera
Comparison fields: 5 of 81
  • Neurology 133
  • Physiology 96
  • Molecular Biology 223
  • Cellular and Molecular Neuroscience 47
  • Complementary and alternative medicine 16
Replace Logan S. Ahlstrom with:
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Jonathan Pansieri United Kingdom
Aditya Iyer Netherlands
K. Kobayashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Fernando E. Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Fernando E. Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando E. Herrera, 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 Fernando E. Herrera Line = papers co-authored together Fernando E. Herrera links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010116
2 2008105
3 201051
4 200729
5 201628
6 201720
7 201220
8 200915
9 201415
10 201214
11 201212
12 201810
13 20235
14 20234
15 20242
16 20181
17 20171

About Fernando E. Herrera

Fernando E. Herrera is a scholar working on Molecular Biology, Neurology, Atomic and Molecular Physics, and Optics, Organic Chemistry and Epidemiology, having authored 17 papers that have together received 448 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Trypanosoma species research and implications (2 papers), Alzheimer's disease research and treatments (2 papers), Protein Structure and Dynamics (2 papers), Research on Leishmaniasis Studies (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Neurology (133 citations), Physiology (96 citations), Molecular Biology (223 citations), Cellular and Molecular Neuroscience (47 citations) and Complementary and alternative medicine (16 citations). Fernando E. Herrera has collaborated with scholars based in Argentina, Uruguay and Italy. Frequent co-authors include Sergio Pantano, Pablo D. Dans, Leonardo Darré, Matías Machado, Paolo Carloni, Stefano Gustincich, Adriana Muñoz, Adrien W. Schmid, Michele Vendruscolo and Hilal A. Lashuel. Their work appears in journals such as Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics, The Journal of Physical Chemistry B, PLoS ONE and Biochimie.

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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