Paula V. Subirada

23 total papers · 2.7k total citations
15 papers, 174 citations indexed

About

Paula V. Subirada is a scholar working on Ophthalmology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paula V. Subirada has authored 15 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ophthalmology, 6 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paula V. Subirada's work include Retinal Diseases and Treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Retinal Development and Disorders (5 papers). Paula V. Subirada is often cited by papers focused on Retinal Diseases and Treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Retinal Development and Disorders (5 papers). Paula V. Subirada collaborates with scholars based in Argentina, United States and Canada. Paula V. Subirada's co-authors include Marı́a C. Sánchez, Pablo F. Barcelona, Magali E. Ridano, Valeria E. Lorenc, José D. Luna, Mariana Belén Joray, Gustavo Bonacci, Ana L. Gramajo, Gustavo A. Chiabrando and Gabriel A. Rabinovich and has published in prestigious journals such as European Journal of Neuroscience, Oncotarget and Cells.

In The Last Decade

Paula V. Subirada

12 papers receiving 174 citations

Author Peers

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

Author Last Decade Papers Cites
Paula V. Subirada 101 89 34 27 26 15 174
Federica Conti 106 1.0× 139 1.6× 50 1.5× 21 0.8× 52 2.0× 18 273
Joseph Weiss 110 1.1× 87 1.0× 23 0.7× 17 0.6× 42 1.6× 8 232
Sriganesh Ramachandra Rao 165 1.6× 78 0.9× 24 0.7× 28 1.0× 9 0.3× 22 244
Zhou Zeng 137 1.4× 90 1.0× 29 0.9× 32 1.2× 53 2.0× 17 284
Orla Galvin 144 1.4× 99 1.1× 33 1.0× 10 0.4× 10 0.4× 10 220
Lorena Olivares‐González 204 2.0× 152 1.7× 27 0.8× 32 1.2× 56 2.2× 13 272
Masaaki Ishida 138 1.4× 147 1.7× 85 2.5× 15 0.6× 36 1.4× 14 291
Katy Tai 57 0.6× 113 1.3× 93 2.7× 32 1.2× 8 0.3× 16 261
Rozina Ida Hajdú 56 0.6× 97 1.1× 59 1.7× 20 0.7× 28 1.1× 8 142
Lourdes Siqueiros‐Márquez 137 1.4× 36 0.4× 20 0.6× 43 1.6× 46 1.8× 16 290

Countries citing papers authored by Paula V. Subirada

Since Specialization
Citations

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

Fields of papers citing papers by Paula V. Subirada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula V. Subirada. 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 Paula V. Subirada. The network helps show where Paula V. Subirada may publish in the future.

Co-authorship network of co-authors of Paula V. Subirada

This figure shows the co-authorship network connecting the top 25 collaborators of Paula V. Subirada. A scholar is included among the top collaborators of Paula V. Subirada 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 Paula V. Subirada. Paula V. Subirada 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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