Leonardo P. Navarrete

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Leonardo P. Navarrete is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Leonardo P. Navarrete has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Leonardo P. Navarrete's work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Leonardo P. Navarrete is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Leonardo P. Navarrete collaborates with scholars based in Chile and Germany. Leonardo P. Navarrete's co-authors include Ricardo B. Maccioni, Leonardo Guzmán‐Martínez, Gonzalo Farías, Víctor Andrade, Inelia Morales, Leonel E. Rojo, Patricio Fuentes, Nicole Cortés, Andrea González and Patricio Pérez and has published in prestigious journals such as Frontiers in Pharmacology, Journal of Alzheimer s Disease and Pharmaceuticals.

In The Last Decade

Leonardo P. Navarrete

8 papers receiving 1.1k citations

Hit Papers

Neuroinflammation as a Common Feature of Neurodegenerativ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonardo P. Navarrete Chile 7 516 347 340 172 146 8 1.1k
Leonardo Guzmán‐Martínez Chile 12 402 0.8× 320 0.9× 337 1.0× 135 0.8× 131 0.9× 19 1.0k
Ki Young Shin South Korea 16 545 1.1× 351 1.0× 331 1.0× 152 0.9× 217 1.5× 33 1.3k
Inelia Morales Chile 6 569 1.1× 256 0.7× 360 1.1× 204 1.2× 111 0.8× 10 959
Rubén Corpas Spain 19 547 1.1× 402 1.2× 315 0.9× 114 0.7× 189 1.3× 26 1.4k
David Beaulieu‐Abdelahad United States 19 424 0.8× 408 1.2× 213 0.6× 205 1.2× 173 1.2× 31 1.0k
Anna Mietelska‐Porowska Poland 12 525 1.0× 334 1.0× 206 0.6× 100 0.6× 194 1.3× 16 1.0k
Rishika Dhapola India 12 526 1.0× 467 1.3× 385 1.1× 187 1.1× 106 0.7× 26 1.2k
Helen M. Melo Brazil 14 852 1.7× 425 1.2× 440 1.3× 164 1.0× 336 2.3× 14 1.5k
Emanuel Candeias Portugal 21 530 1.0× 429 1.2× 208 0.6× 192 1.1× 162 1.1× 29 1.2k

Countries citing papers authored by Leonardo P. Navarrete

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo P. Navarrete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo P. Navarrete. 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 Leonardo P. Navarrete. The network helps show where Leonardo P. Navarrete may publish in the future.

Co-authorship network of co-authors of Leonardo P. Navarrete

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

All Works

8 of 8 papers shown
1.
Andrade, Víctor, Nicole Cortés, Andrea González, et al.. (2023). Scaling the Andean Shilajit: A Novel Neuroprotective Agent for Alzheimer’s Disease. Pharmaceuticals. 16(7). 960–960. 4 indexed citations
2.
Maccioni, Ricardo B., et al.. (2020). Inflammation: A Major Target for Compounds to Control Alzheimer’s Disease. Journal of Alzheimer s Disease. 76(4). 1199–1213. 35 indexed citations
3.
Guzmán‐Martínez, Leonardo, Ricardo B. Maccioni, Gonzalo Farías, Patricio Fuentes, & Leonardo P. Navarrete. (2019). Biomarkers for Alzheimer’s Disease. Current Alzheimer Research. 16(6). 518–528. 63 indexed citations
4.
Guzmán‐Martínez, Leonardo, et al.. (2019). Neuroinflammation as a Common Feature of Neurodegenerative Disorders. Frontiers in Pharmacology. 10. 540 indexed citations breakdown →
5.
Navarrete, Leonardo P., et al.. (2012). Molecules of the Quinoline Family Block Tau Self-Aggregation: Implications Toward a Therapeutic Approach for Alzheimer's Disease. Journal of Alzheimer s Disease. 29(1). 79–88. 11 indexed citations
6.
Navarrete, Leonardo P., Patricio Pérez, Inelia Morales, & Ricardo B. Maccioni. (2011). Novel Drugs Affecting Tau Behavior in the Treatment of Alzheimers Disease and Tauopathies. Current Alzheimer Research. 8(6). 678–685. 16 indexed citations
7.
Maccioni, Ricardo B., Gonzalo Farías, Inelia Morales, & Leonardo P. Navarrete. (2010). The Revitalized Tau Hypothesis on Alzheimer's Disease. Archives of Medical Research. 41(3). 226–231. 235 indexed citations
8.
Rojo, Leonel E., et al.. (2008). Insulin Resistance and Alzheimers Disease: Molecular Links & Clinical Implications. Current Alzheimer Research. 5(5). 438–447. 193 indexed citations

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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