Carmen Picón

41 total papers · 1.3k total citations
15 papers, 502 citations indexed

About

Carmen Picón is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Carmen Picón has authored 15 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 7 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Carmen Picón's work include Multiple Sclerosis Research Studies (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Immune Cell Function and Interaction (3 papers). Carmen Picón is often cited by papers focused on Multiple Sclerosis Research Studies (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Immune Cell Function and Interaction (3 papers). Carmen Picón collaborates with scholars based in Spain, United Kingdom and Singapore. Carmen Picón's co-authors include Richard Reynolds, Rachel James, Anusha Jayaraman, Luisa María Villar, Lucienne Costa‐Frossard, Nicholas D. Mazarakis, M. Espiño, Maarten E. Witte, Susana Sainz de la Maza and Raquel Alenda and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Carmen Picón

14 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Carmen Picón 191 165 162 144 85 15 502
Annette van der Goes 167 0.9× 179 1.1× 164 1.0× 211 1.5× 55 0.6× 10 551
Carolina Cruciani 284 1.5× 143 0.9× 156 1.0× 149 1.0× 50 0.6× 11 511
Roberta Fantozzi 344 1.8× 155 0.9× 154 1.0× 114 0.8× 94 1.1× 26 612
Benedetta Parodi 112 0.6× 250 1.5× 205 1.3× 116 0.8× 46 0.5× 10 568
Julio Mantero 133 0.7× 233 1.4× 137 0.8× 94 0.7× 76 0.9× 13 545
Jesús Amo‐Aparicio 125 0.7× 154 0.9× 149 0.9× 154 1.1× 49 0.6× 16 457
Fatma Zaguia 100 0.5× 91 0.6× 305 1.9× 228 1.6× 48 0.6× 12 522
Javad Rasouli 175 0.9× 202 1.2× 110 0.7× 253 1.8× 29 0.3× 16 593
Karin Seid 105 0.5× 245 1.5× 168 1.0× 204 1.4× 50 0.6× 15 613
Maria Podbielska 133 0.7× 329 2.0× 80 0.5× 183 1.3× 77 0.9× 20 591

Countries citing papers authored by Carmen Picón

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Picón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Picón. 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 Carmen Picón. The network helps show where Carmen Picón may publish in the future.

Co-authorship network of co-authors of Carmen Picón

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Picón. A scholar is included among the top collaborators of Carmen Picón 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 Carmen Picón. Carmen Picón 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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