Verónica Rivas

583 citations
18 papers · 433 · h-index 10

Impact in

    • Cell Adhesion Molecules Research
    • Receptor Mechanisms and Signaling
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
    • Angiogenesis and VEGF in Cancer

Papers in

    • Receptor Mechanisms and Signaling 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • Histone Deacetylase Inhibitors Research 2
    • Signaling Pathways in Disease 2
    • Angiogenesis and VEGF in Cancer 1
    • Peptidase Inhibition and Analysis 2

Verónica Rivas

18 papers receiving 433 citations

Peers

Verónica Rivas
Comparison fields: 5 of 56
  • Immunology and Allergy 39
  • Molecular Biology 307
  • Cell Biology 59
  • Cellular and Molecular Neuroscience 62
  • Oncology 77
Replace Dorothea Tzvetkova‐Robev with:
Dorothea Tzvetkova‐Robev United States
Rebecca L. Mellor United States
Nevenka Dudvarski Stanković Germany
Ikue Tai-Nagara Japan
Chantal Delisle Canada
Mihaela Gazdoiu United States
Laiji Li Canada
N.–T. Tsai United States
Erika Gucciardo Finland
Sana S. Hasan Germany
Verónica Rivas relative to Dorothea Tzvetkova‐Robev United States Dorothea Tzvetkova‐Robev's profile →
Citations per field
00.5×1.5×
Dorothea Tzvetkova‐Robev · 1×
Citations per year

Countries citing papers authored by Verónica Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200480
2 200968
3 201768
4 201658
5 201634
6 200528
7 201223
8 200817
9 202016
10 201612
11 20148
12 20185
13 20244
14 20233
15 20193
16 20212
17 20122
18 20102

About Verónica Rivas

Verónica Rivas is a scholar working on Molecular Biology, Oncology, Immunology and Allergy, Cell Biology and Physiology, having authored 18 papers that have together received 433 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cell Adhesion Molecules Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Microtubule and mitosis dynamics (2 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology and Allergy (39 citations), Molecular Biology (307 citations), Cell Biology (59 citations), Cellular and Molecular Neuroscience (62 citations) and Oncology (77 citations). Verónica Rivas has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Federico Mayor, Petronila Penela, Alicia Salcedo, Laura Nogués, Clara Reglero, María Neves, Catalina Ribas, Vanesa Lafarga, Marta Carretero and Fernando Larcher. Their work appears in journals such as Clinical Neurology and Neurosurgery, Molecular Pharmacology, Proceedings of the National Academy of Sciences, Cancer Research and Cells.

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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