Verónica Rivas

632 citations
19 papers · 473 · h-index 11

Impact in

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

Papers in

    • Receptor Mechanisms and Signaling 6
    • Protein Kinase Regulation and GTPase Signaling 3
    • Signaling Pathways in Disease 2
    • Histone Deacetylase Inhibitors Research 2
    • Angiogenesis and VEGF in Cancer 2

Verónica Rivas

19 papers receiving 472 citations

Peers

Verónica Rivas
Comparison fields: 5 of 57
  • Immunology and Allergy 47
  • Molecular Biology 367
  • Cellular and Molecular Neuroscience 73
  • Cell Biology 64
  • Oncology 101
Replace Helen M. Jopling with:
Helen M. Jopling United Kingdom
Dorothea Tzvetkova‐Robev United States
Xu Hou China
Ikue Tai-Nagara Japan
Jiao‐Hui Wu United States
Nevenka Dudvarski Stanković Germany
Yi‐Chinn Weng United States
Erika Gucciardo Finland
Raquel Blanco United Kingdom
Bérengère Fayard Switzerland
Verónica Rivas relative to Helen M. Jopling United Kingdom Helen M. Jopling's profile →
Citations per field
00.5×2.8×
Helen M. Jopling · 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

19 of 19 papers shown
#Work
1 200481
2 201768
3 200968
4 201656
5 201346
6 201634
7 200528
8 201223
9 200817
10 202015
11 201612
12 20147
13 20185
14 20243
15 20192
16 20232
17 20212
18 20122
19 20102

About Verónica Rivas

Verónica Rivas is a scholar working on Molecular Biology, Oncology, Immunology and Allergy, Cell Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 473 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Cell Adhesion Molecules Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Signaling Pathways in Disease (2 papers), Microtubule and mitosis dynamics (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Immunology and Allergy (47 citations), Molecular Biology (367 citations), Cellular and Molecular Neuroscience (73 citations), Cell Biology (64 citations) and Oncology (101 citations). Verónica Rivas has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include Federico Mayor, Petronila Penela, Clara Reglero, Alicia Salcedo, Laura Nogués, María Neves, Catalina Ribas, Marta Mendiola, Vanesa Lafarga and David Hardisson. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Cell Death Discovery, European Journal of Cancer, Molecular Pharmacology and Seminars in Cancer 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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