J. A. Molina

45 total papers · 6.2k total citations
30 papers, 954 citations indexed

About

J. A. Molina is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J. A. Molina has authored 30 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 10 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in J. A. Molina's work include Parkinson's Disease Mechanisms and Treatments (14 papers), Alzheimer's disease research and treatments (8 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). J. A. Molina is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (14 papers), Alzheimer's disease research and treatments (8 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). J. A. Molina collaborates with scholars based in Spain, United States and Belarus. J. A. Molina's co-authors include M Ortı́-Pareja, M. Zurdo, Félix Javier Jiménez‐Jiménez, F. de Bustos, Joaquı́n Arenas, M. V. Aguilar, M.C. Martínez‐Para, I. Meseguer, María José González‐Muñoz and C. J. Mateos-Vega and has published in prestigious journals such as Neurology, Clinical Chemistry and Journal of Pediatric Gastroenterology and Nutrition.

In The Last Decade

J. A. Molina

30 papers receiving 936 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. A. Molina 330 319 271 266 162 30 954
M. Zurdo 266 0.8× 379 1.2× 260 1.0× 212 0.8× 124 0.8× 36 976
F. de Bustos 300 0.9× 287 0.9× 336 1.2× 292 1.1× 98 0.6× 25 892
Michał Węgrzynowicz 120 0.4× 367 1.2× 284 1.0× 259 1.0× 278 1.7× 27 1.0k
Jingshu Xu 202 0.6× 125 0.4× 365 1.3× 451 1.7× 165 1.0× 37 1.2k
Stephanie J. Church 179 0.5× 113 0.4× 265 1.0× 308 1.2× 121 0.7× 31 892
Alan H. Stokes 215 0.7× 277 0.9× 92 0.3× 403 1.5× 308 1.9× 26 1.2k
Dirleise Colle 146 0.4× 88 0.3× 154 0.6× 314 1.2× 187 1.2× 31 964
Dennis W. Choi 317 1.0× 166 0.5× 191 0.7× 493 1.9× 578 3.6× 11 1.1k
Alberto Granzotto 254 0.8× 70 0.2× 413 1.5× 243 0.9× 167 1.0× 40 1.0k
Romina M. Uranga 189 0.6× 136 0.4× 457 1.7× 393 1.5× 158 1.0× 29 1.1k

Countries citing papers authored by J. A. Molina

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Molina. 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 J. A. Molina. The network helps show where J. A. Molina may publish in the future.

Co-authorship network of co-authors of J. A. Molina

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

All Works

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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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