Raquel Parı́s

10 total papers · 998 total citations
8 papers, 835 citations indexed

About

Raquel Parı́s is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Raquel Parı́s has authored 8 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Oncology. Recurrent topics in Raquel Parı́s's work include Neuroblastoma Research and Treatments (3 papers), NF-κB Signaling Pathways (2 papers) and Cell death mechanisms and regulation (2 papers). Raquel Parı́s is often cited by papers focused on Neuroblastoma Research and Treatments (3 papers), NF-κB Signaling Pathways (2 papers) and Cell death mechanisms and regulation (2 papers). Raquel Parı́s collaborates with scholars based in Spain, United States and Mexico. Raquel Parı́s's co-authors include José C. Fernández‐Checa, Carmen García‐Ruiz, Anna Colell, Jaume Mora, Federico Rojo, Rachel S. Darken, Avelina Tortosa, José Baselga, Alejandra Bruna and Alberto Ocaña and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and Cancer Cell.

In The Last Decade

Raquel Parı́s

8 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Raquel Parı́s 607 215 159 125 101 8 835
Joo Heon Kim 745 1.2× 203 0.9× 250 1.6× 85 0.7× 98 1.0× 11 1.0k
Tiffany A. LaFortune 593 1.0× 274 1.3× 162 1.0× 185 1.5× 54 0.5× 13 900
Magali Herrant 636 1.0× 200 0.9× 95 0.6× 106 0.8× 178 1.8× 11 880
Angela Iervolino 567 0.9× 126 0.6× 163 1.0× 127 1.0× 99 1.0× 10 987
Sagarika Ray 772 1.3× 199 0.9× 110 0.7× 92 0.7× 89 0.9× 7 979
Antony Letai 544 0.9× 301 1.4× 163 1.0× 39 0.3× 103 1.0× 11 835
Kah Suan Lim 532 0.9× 155 0.7× 168 1.1× 176 1.4× 59 0.6× 14 746
Lili Shu 686 1.1× 193 0.9× 104 0.7× 52 0.4× 62 0.6× 12 881
Yuho Hayashi 470 0.8× 174 0.8× 135 0.8× 107 0.9× 40 0.4× 10 735
Nanni Huser 736 1.2× 237 1.1× 84 0.5× 82 0.7× 100 1.0× 15 997

Countries citing papers authored by Raquel Parı́s

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Parı́s

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Parı́s

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