Matilde Alique

2.3k citations
64 papers · 1.8k indexed · h-index 26

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • MicroRNA in disease regulation

Papers in

    • Dialysis and Renal Disease Management 10
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
    • Atherosclerosis and Cardiovascular Diseases 6

Matilde Alique

62 papers receiving 1.7k citations

Peers

Matilde Alique
Comparison fields: 5 of 113
  • Nephrology 278
  • Cancer Research 272
  • Immunology 353
  • Aging 27
  • Molecular Biology 846
Replace Jun Shi with:
Jun Shi China
M.J. López-Armada Spain
M. Yvonne Alexander United Kingdom
Cuntai Zhang China
Jizhong Cheng United States
Xiaoyu Liu China
Guijun Qin China
Yuan Qin China
Daisuke Nagata Japan
Akihiro Nakajima Japan
Matilde Alique relative to Jun Shi China Jun Shi's profile →
Citations per field
00.5×3.4×
Jun Shi · 1×
Citations per year

Countries citing papers authored by Matilde Alique

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Alique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202315
4 202214
5 202123
6 202065
7 202015
8 201964
9 20193
10 201838
11 201831
12 201728
13 201623
14 201567
15 201442
16 201442
17 201234
18 200751
19 20054
20 200352

About Matilde Alique

Matilde Alique is a scholar working on Nephrology, Immunology, Biological Psychiatry, Cancer Research and Immunology and Allergy, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (14 papers), Dialysis and Renal Disease Management (10 papers), MicroRNA in disease regulation (8 papers), Retinoids in leukemia and cellular processes (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Inflammatory mediators and NSAID effects (6 papers) and Cardiovascular Disease and Adiposity (5 papers). The work is most often cited by research in Nephrology (278 citations), Cancer Research (272 citations), Immunology (353 citations), Aging (27 citations) and Molecular Biology (846 citations). Matilde Alique has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Julia Carracedo, Guillermo Bodega, Rafael Ramı́rez, Lilian Puebla, Marta Ruiz‐Ortega, Chiara Giannarelli, Carlos Feitosa Luna, Jesús Egido, Juan F. Herrero and Francisco Javier Lucio-Cazaña. Their work appears in journals such as British Journal of Pharmacology, International Journal of Molecular Sciences, Antioxidants, Oxidative Medicine and Cellular Longevity and Clinical Kidney Journal.

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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