Lorena Peiró-Chova

24 total papers · 731 total citations
17 papers, 513 citations indexed

About

Lorena Peiró-Chova is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lorena Peiró-Chova has authored 17 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lorena Peiró-Chova's work include RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (4 papers) and Epigenetics and DNA Methylation (3 papers). Lorena Peiró-Chova is often cited by papers focused on RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (4 papers) and Epigenetics and DNA Methylation (3 papers). Lorena Peiró-Chova collaborates with scholars based in Spain, United States and France. Lorena Peiró-Chova's co-authors include Jose Luis García‐Giménez, Federico V. Pallardó, Carlos Romá‐Mateo, Marta Seco-Cervera, Gisselle Pérez-Machado, Francisco Estruch, Pablo Lapunzina, Trygve O. Tollefsbol, Jaime Ferrer-Lozano and Gloría Ribas and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Lorena Peiró-Chova

17 papers receiving 508 citations

Author Peers

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

Author Last Decade Papers Cites
Lorena Peiró-Chova 364 166 52 50 36 17 513
Yelena Chernyavskaya 395 1.1× 118 0.7× 38 0.7× 53 1.1× 37 1.0× 12 504
Sudha Talwar 436 1.2× 201 1.2× 49 0.9× 68 1.4× 33 0.9× 23 578
Nadiya Khyzha 357 1.0× 188 1.1× 31 0.6× 87 1.7× 35 1.0× 14 491
Miriam McQuade 345 0.9× 191 1.2× 38 0.7× 32 0.6× 52 1.4× 14 508
Yasha Li 352 1.0× 114 0.7× 42 0.8× 35 0.7× 38 1.1× 21 571
Prakasit Rattanatanyong 364 1.0× 128 0.8× 41 0.8× 74 1.5× 23 0.6× 14 484
Junko Yamaki 320 0.9× 156 0.9× 45 0.9× 52 1.0× 30 0.8× 21 598
Nicolas Nottet 277 0.8× 103 0.6× 37 0.7× 49 1.0× 23 0.6× 20 502
Tien‐Shun Yeh 377 1.0× 156 0.9× 27 0.5× 45 0.9× 37 1.0× 17 604
Adrianna Moszyńska 320 0.9× 329 2.0× 66 1.3× 44 0.9× 26 0.7× 14 541

Countries citing papers authored by Lorena Peiró-Chova

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Peiró-Chova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorena Peiró-Chova. 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 Lorena Peiró-Chova. The network helps show where Lorena Peiró-Chova may publish in the future.

Co-authorship network of co-authors of Lorena Peiró-Chova

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026