Laura Ramiro

1.1k citations
19 papers · 791 · h-index 13

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Neurological Disease Mechanisms and Treatments 3
    • S100 Proteins and Annexins 9
    • Bioinformatics and Genomic Networks 3
    • Extracellular vesicles in disease 2

Laura Ramiro

19 papers receiving 783 citations

Peers

Laura Ramiro
Comparison fields: 5 of 83
  • Neurology 174
  • Cancer Research 92
  • Neurology 82
  • Epidemiology 168
  • Molecular Biology 304
Replace Xiuhua Yao with:
Xiuhua Yao China
Franziska Herpich United States
Víctor Llombart Spain
Julie Landschoot‐Ward United States
Jun Zhong China
Jiaying Tan China
Wenqiang Xin China
Yukiya Suzuki Japan
Bing Q. Huang China
Eva Geuß Germany
Laura Ramiro relative to Xiuhua Yao China Xiuhua Yao's profile →
Citations per field
00.5×1.7×
Xiuhua Yao · 1×
Citations per year

Countries citing papers authored by Laura Ramiro

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ramiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020248
2 2021119
3 2018105
4 201954
5 201843
6 202038
7 202327
8 201725
9 202024
10 201821
11 202121
12 201918
13 202113
14 202211
15 20228
16 20226
17 20235
18 20194
19 20251

About Laura Ramiro

Laura Ramiro is a scholar working on Neurology, Molecular Biology, Epidemiology, Cancer Research and Computational Theory and Mathematics, having authored 19 papers that have together received 791 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (9 papers), Acute Ischemic Stroke Management (6 papers), Bioinformatics and Genomic Networks (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Protease and Inhibitor Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Neurology (174 citations), Cancer Research (92 citations), Neurology (82 citations), Epidemiology (168 citations) and Molecular Biology (304 citations). Laura Ramiro has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Joan Montaner, Alba Simats, Alejandro Mejia Bustamante, Teresa García‐Berrocoso, Jean‐Charles Sanchez, Stéphanie Debette, Steffen Tiedt, Konstantinos Makris, Glen C. Jickling and Anna Rosell. Their work appears in journals such as Molecular & Cellular Proteomics, Therapeutic Advances in Neurological Disorders, Journal of the American Heart Association, Nutrients and Cellular and Molecular Life Sciences.

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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