F. Javier Milán

467 total citations
12 papers, 390 citations indexed

About

F. Javier Milán is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology. According to data from OpenAlex, F. Javier Milán has authored 12 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 4 papers in Pharmacology and 3 papers in Molecular Biology. Recurrent topics in F. Javier Milán's work include Neuroscience and Neuropharmacology Research (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Computational Drug Discovery Methods (3 papers). F. Javier Milán is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Computational Drug Discovery Methods (3 papers). F. Javier Milán collaborates with scholars based in Italy, Spain and Hungary. F. Javier Milán's co-authors include Luis Puelles, Margaret Martínez‐de‐la‐Torre, Alfredo Gorio, M.G. Nunzi, Tamás F. Freund, A. David Smith, Péter Somogyi, Diego Guidolin, G. Toffano and Maria Grazia Nunzi and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Neurobiology of Aging.

In The Last Decade

F. Javier Milán

12 papers receiving 379 citations

Peers

F. Javier Milán
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 257
  • Molecular Biology 187
  • Developmental Neuroscience 84
  • Cognitive Neuroscience 82
  • Neurology 68
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Citations per field, relative to F. Javier Milán
F. Javier Milán · 1×
Citations per year, relative to F. Javier Milán
F. Javier Milán · 1×

Countries citing papers authored by F. Javier Milán

Since Specialization
Citations

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

Fields of papers citing papers by F. Javier Milán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Javier Milán. 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 F. Javier Milán. The network helps show where F. Javier Milán may publish in the future.

Co-authorship network of co-authors of F. Javier Milán

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 107
2 2
3 4
4 2
5
Pedigree analysis of sucrose intolerance among Native Alaskans.
2
6
Lesions of the nucleus basalis magnocellularis in the rat: morphological, biochemical and behavioral reparative effect of nerve growth factor and ganglioside GM1.
8
7 30
8 14
9 2
10 48
11 35
12 136

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