Verónica Rodríguez-Bravo

2.6k citations
27 papers · 1.7k indexed · h-index 15

Verónica Rodríguez-Bravo

26 papers receiving 1.7k citations

Peers

Verónica Rodríguez-Bravo
Comparison fields: 5 of 89
  • Cell Biology 620
  • Oncology 624
  • Cancer Research 288
  • Molecular Biology 1.2k
  • Aging 28
Replace Agnieszka Zagożdżon with:
Agnieszka Zagożdżon United States
Olena Barbash United States
David Leggett United States
Alberto Martín Spain
Vincenzo D’Angiolella United Kingdom
Amanda S. Coutts United Kingdom
Jung-Sik Kim United States
Filippo Rosselli France
Joanna Bloom United States
Kwang‐Ai Won United States
Verónica Rodríguez-Bravo relative to Agnieszka Zagożdżon United States Agnieszka Zagożdżon's profile →
Citations per field
00.5×1.5×1.8×
Agnieszka Zagożdżon · 1×
Citations per year

Countries citing papers authored by Verónica Rodríguez-Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Rodríguez-Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Rodríguez-Bravo. 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 Verónica Rodríguez-Bravo. The network helps show where Verónica Rodríguez-Bravo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Verónica Rodríguez-Bravo, 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 Verónica Rodríguez-Bravo Line = papers co-authored together Verónica Rodríguez-Bravo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20239
4 202126
5 202070
6 202015
7 20191
8 20191
9 201729
10 201710
11 20177
12 201763
13 201670
14 20145
15 20141
16 2014118
17 2013215
18 2012338
19 2009145
20 200725

About Verónica Rodríguez-Bravo

Verónica Rodríguez-Bravo is a scholar working on Oncology, Cell Biology and Biotechnology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Prostate Cancer Treatment and Research (9 papers), Microtubule and mitosis dynamics (7 papers), DNA Repair Mechanisms (4 papers), Cancer Research and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Diagnosis and Treatment (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cell Biology (620 citations), Oncology (624 citations) and Cancer Research (288 citations). Verónica Rodríguez-Bravo has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include René H. Medema, Arne Lindqvist, Josep Domingo‐Domenech, Carlos Cordon‐Cardo, Samuel J. Vidal, Matt D. Galsky, John Maciejowski, Prasad V. Jallepalli, Marc Carceles‐Cordon and Elizabeth Charytonowicz. Their work appears in journals such as Journal of Visualized Experiments, Nature Reviews Urology, Cancer Research, Cancer Cell and The Journal of Cell Biology.

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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