Rosa Farrás

2.2k citations
37 papers · 1.5k indexed · h-index 17
    • Ubiquitin and proteasome pathways 15
    • Polyamine Metabolism and Applications 8
    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4
    • Protein Degradation and Inhibitors 3
  • Oncology top 10%
    • Cancer-related Molecular Pathways 9
  • Biochemistry top 10%
    • Microtubule and mitosis dynamics 4
    • Endoplasmic Reticulum Stress and Disease 3

Rosa Farrás

37 papers receiving 1.4k citations

Peers

Rosa Farrás
Comparison fields: 5 of 100
  • Plant Science 548
  • Molecular Biology 1.0k
  • Oncology 258
  • Cancer Research 135
  • Biochemistry 51
Replace Lili Ma with:
Lili Ma China
Konstantin Denessiouk Finland
Keiko Kubota Japan
Nico Dißmeyer Germany
Aiping Zheng China
Alexandre Soulard France
Vidal Fey Finland
Wei‐Qing Wang China
Emmanuelle Merquiol Israel
Hiroki Mori Japan
Rosa Farrás relative to Lili Ma China Lili Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rosa Farrás

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Farrás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rosa Farrás, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rosa Farrás Line = papers co-authored together Rosa Farrás links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20237
3 20203
4 201975
5 20198
6 20181
7 20163
8 2015120
9 20157
10 201240
11 2012101
12 201012
13 200911
14 200820
15 200855
16 2005161
17 20054
18 200513
19 2001202
20 1997108

About Rosa Farrás

Rosa Farrás is a scholar working on Oncology, Molecular Biology and Cell Biology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Cancer-related Molecular Pathways (9 papers), Polyamine Metabolism and Applications (8 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Microtubule and mitosis dynamics (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Plant Science (548 citations), Molecular Biology (1.0k citations) and Oncology (258 citations). Rosa Farrás has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Marc Piechaczyk, Antonio F. Tiburcio, Alejandro Ferrando, Guillaume Bossis, Robert A. Hipskind, Manuel S. Rodríguez, Isabelle Jariel‐Encontre, Lourdes Carbonell, A. Borrell and Darja Schmidt. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and The EMBO Journal.

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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