Judith Prado

875 citations
16 papers · 590 · h-index 12

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 10%
    • Pain Mechanisms and Treatments

Papers in

Judith Prado

16 papers receiving 580 citations

Peers

Judith Prado
Comparison fields: 5 of 86
  • Neurology 97
  • Physiology 220
  • Behavioral Neuroscience 28
  • Developmental Neuroscience 25
  • Cellular and Molecular Neuroscience 107
Replace Xueming Hu with:
Xueming Hu China
Michael Brodhun Germany
Srdjan Ljubisavljević Serbia
Margarita Zoga Greece
Matthias Ebbinghaus Germany
Joyce Tran United States
Richard P. Hulse United Kingdom
Carlos Nogueras‐Ortiz United States
Yanchao Liu China
Emelie Stenman Sweden
Judith Prado relative to Xueming Hu China Xueming Hu's profile →
Citations per field
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Xueming Hu · 1×
Citations per year

Countries citing papers authored by Judith Prado

Since Specialization
Citations

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

Fields of papers citing papers by Judith Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2021147
2 202167
3 201664
4 201153
5 201352
6 200941
7 202132
8
Inhibitory effects of dipyridamole on growth, nucleoside incorporation, and platelet-activating capability in the U87MG and SKNMC human tumor cell lines.
198528
9 201025
10 201825
11 201217
12 200615
13 20189
14 20196
15 20185
16 20234

About Judith Prado

Judith Prado is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Rehabilitation and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 590 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Neuropeptides and Animal Physiology (6 papers), Phosphodiesterase function and regulation (5 papers), Exercise and Physiological Responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Mast cells and histamine (2 papers), Stress Responses and Cortisol (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Neurology (97 citations), Physiology (220 citations), Behavioral Neuroscience (28 citations), Developmental Neuroscience (25 citations) and Cellular and Molecular Neuroscience (107 citations). Judith Prado has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Niels Eijkelkamp, Agustina Garcı́a, Juan Hidalgo, Sabine Versteeg, Hanneke L.D.M. Willemen, Ramin Raoof, R. Jeroen Pasterkamp, Mercedes Giralt, Marı́a Antonia Baltrons and Linde Meyaard. Their work appears in journals such as Journal of Neuroscience, Journal of Visualized Experiments, Experimental Neurology, Pharmaceutical Research and PLoS 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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