Verónica Barceló

525 citations
6 papers · 228 · h-index 6

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Barrier Structure and Function Studies
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Verónica Barceló

6 papers receiving 226 citations

Peers

Verónica Barceló
Comparison fields: 5 of 54
  • Neurology 84
  • Developmental Neuroscience 30
  • Genetics 38
  • Cancer Research 49
  • Neurology 29
Replace Rami Ahmad Shahror with:
Rami Ahmad Shahror United States
Philipp Zickler Germany
Xianzhong Shi China
Giulia Manferrari United Kingdom
Dongxiao Xie China
Yaoyun Kuang China
Fa Lin China
Chengtang Lv China
Connor J. Stonesifer United States
Verónica Barceló relative to Rami Ahmad Shahror United States Rami Ahmad Shahror's profile →
Citations per field
00.5×10×20×29×
Rami Ahmad Shahror · 1×
Citations per year

Countries citing papers authored by Verónica Barceló

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Barceló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Verónica Barceló, 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 Barceló Line = papers co-authored together Verónica Barceló links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201390
2 201238
3 201533
4 201330
5 201627
6 201310

About Verónica Barceló

Verónica Barceló is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Surgery and Genetics, having authored 6 papers that have together received 228 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Acute Ischemic Stroke Management (3 papers), Lipoproteins and Cardiovascular Health (1 paper), Congenital heart defects research (1 paper), Mesenchymal stem cell research (1 paper), Intracranial Aneurysms: Treatment and Complications (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Neurology (84 citations), Developmental Neuroscience (30 citations), Genetics (38 citations), Cancer Research (49 citations) and Neurology (29 citations). Verónica Barceló has collaborated with scholars based in Spain. Frequent co-authors include Anna Morancho, Joan Montaner, Anna Rosell, Dolors Giralt, Lidia García‐Bonilla, Mar Hernández‐Guillamón, Feifei Ma, Elena Martínez‐Sáez, Silvia Lope‐Piedrafita and Francesc E. Borràs. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, CNS Neuroscience & Therapeutics, Neuropathology and Applied Neurobiology, PLoS ONE and Journal of Cellular and Molecular Medicine.

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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