Eva Andrés‐Mateos

33 total papers · 2.5k total citations
28 papers, 1.8k citations indexed

About

Eva Andrés‐Mateos is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eva Andrés‐Mateos has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eva Andrés‐Mateos's work include Virus-based gene therapy research (8 papers), Muscle Physiology and Disorders (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Eva Andrés‐Mateos is often cited by papers focused on Virus-based gene therapy research (8 papers), Muscle Physiology and Disorders (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Eva Andrés‐Mateos collaborates with scholars based in United States, Spain and Germany. Eva Andrés‐Mateos's co-authors include Luk H. Vandenberghe, Rebeca Mejı́as, Carmen Montiel, Ted M. Dawson, Li Zhang, Bobby Thomas, Valina L. Dawson, Masayuki Sasaki, Simon Pacouret and Ru Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Eva Andrés‐Mateos

27 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Eva Andrés‐Mateos 1.1k 438 341 333 326 28 1.8k
Liang‐Fong Wong 1.2k 1.1× 422 1.0× 760 2.2× 313 0.9× 338 1.0× 37 2.3k
D. Goossens 798 0.7× 548 1.3× 284 0.8× 454 1.4× 299 0.9× 75 1.9k
Kevin L. Seburn 1.3k 1.1× 139 0.3× 664 1.9× 288 0.9× 287 0.9× 48 2.2k
Majid Hafezparast 1.1k 1.0× 363 0.8× 369 1.1× 235 0.7× 598 1.8× 46 2.2k
Lluı́s Samaranch 1.0k 0.9× 694 1.6× 768 2.3× 396 1.2× 643 2.0× 49 2.2k
Rory Kirchner 982 0.9× 253 0.6× 303 0.9× 104 0.3× 285 0.9× 35 1.7k
Kevin A. Kelley 1.2k 1.0× 349 0.8× 380 1.1× 468 1.4× 95 0.3× 50 2.3k
Ida E. Holm 1.3k 1.1× 306 0.7× 456 1.3× 461 1.4× 406 1.2× 66 2.3k
Serena Giannelli 1.2k 1.1× 334 0.8× 514 1.5× 233 0.7× 215 0.7× 33 1.9k
John F. Fullard 1.0k 0.9× 416 0.9× 239 0.7× 214 0.6× 121 0.4× 61 1.9k

Countries citing papers authored by Eva Andrés‐Mateos

Since Specialization
Citations

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

Fields of papers citing papers by Eva Andrés‐Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Andrés‐Mateos. 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 Eva Andrés‐Mateos. The network helps show where Eva Andrés‐Mateos may publish in the future.

Co-authorship network of co-authors of Eva Andrés‐Mateos

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Andrés‐Mateos. A scholar is included among the top collaborators of Eva Andrés‐Mateos 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 Eva Andrés‐Mateos. Eva Andrés‐Mateos 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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