Fernando E. Herrera
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
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- Alzheimer's disease research and treatments
Papers in
-
- Lipid Membrane Structure and Behavior 6
- Protein Structure and Dynamics 2
- Sphingolipid Metabolism and Signaling 2
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- Parkinson's Disease Mechanisms and Treatments 3
- Neurological disorders and treatments 2
- Co-authors
- Sergio Pantano (4 shared papers)Leonardo Darré (1 shared paper)Pablo D. Dans (1 shared paper)Matías Machado (1 shared paper)Paolo Carloni (3 shared papers)Stefano Gustincich (3 shared papers)Alessandra Chesi (1 shared paper)Katerina E. Paleologou (1 shared paper)
In The Last Decade
Fernando E. Herrera
17 papers receiving 424 citations
Peers
Comparison fields: 5 of 76
- Neurology 133
- Physiology 95
- Molecular Biology 217
- Cellular and Molecular Neuroscience 49
- Physical and Theoretical Chemistry 18
Countries citing papers authored by Fernando E. Herrera
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 106 | |
| 2 | 2008 | 103 | |
| 3 | 2010 | 50 | |
| 4 | 2007 | 29 | |
| 5 | 2016 | 25 | |
| 6 | 2012 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2009 | 15 | |
| 9 | 2014 | 15 | |
| 10 | 2012 | 14 | |
| 11 | 2012 | 12 | |
| 12 | 2018 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2024 | 1 |
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 425 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (2 papers), Research on Leishmaniasis Studies (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Neurological disorders and treatments (2 papers), Protein Structure and Dynamics (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Neurology (133 citations), Physiology (95 citations), Molecular Biology (217 citations), Cellular and Molecular Neuroscience (49 citations) and Physical and Theoretical Chemistry (18 citations). Fernando E. Herrera has collaborated with scholars based in Argentina, Uruguay and Italy. Frequent co-authors include Sergio Pantano, Leonardo Darré, Pablo D. Dans, Matías Machado, Paolo Carloni, Stefano Gustincich, Alessandra Chesi, Katerina E. Paleologou, Michele Vendruscolo and Adrien W. Schmid. Their work appears in journals such as Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics, PLoS ONE, The Journal of Physical Chemistry B and Frontiers in Cellular and Infection Microbiology.
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.