Paula Cerdá

439 citations
10 papers · 95 · h-index 4

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Skin Protection and Aging
    • Dermatologic Treatments and Research
    • Acne and Rosacea Treatments and Effects

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 2
    • Peptidase Inhibition and Analysis 1
    • Colorectal Cancer Treatments and Studies 1
    • Cancer Immunotherapy and Biomarkers 1
    • Facial Trauma and Fracture Management 1

Paula Cerdá

7 papers receiving 92 citations

Peers

Paula Cerdá
Comparison fields: 5 of 53
  • Biochemistry 20
  • Dermatology 20
  • Genetics 15
  • Food Science 14
  • Nutrition and Dietetics 11
Replace Seyyede Masoume Athari with:
Seyyede Masoume Athari Iran
Viera Štvrtinová Slovakia
Henrique Fonseca Brazil
Sirje Kaur Estonia
Sophia Tsabouri France
Kenichi Shibata Japan
Heinrich Biltz Germany
Daniele Soddu Italy
Yasuko Matsutani Japan
Paula Cerdá relative to Seyyede Masoume Athari Iran Seyyede Masoume Athari's profile →
Citations per field
00.5×
Seyyede Masoume Athari · 1×
Citations per year

Countries citing papers authored by Paula Cerdá

Since Specialization
Citations

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

Fields of papers citing papers by Paula Cerdá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201936
2 200525
3 201617
4 201711
5 20223
6 20112
7 20241
8 20250
9 20230
10 20170

About Paula Cerdá

Paula Cerdá is a scholar working on Oncology, Surgery, Dermatology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 10 papers that have together received 95 indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Skin Protection and Aging (2 papers), Peptidase Inhibition and Analysis (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Facial Trauma and Fracture Management (1 paper) and Ginkgo biloba and Cashew Applications (1 paper). The work is most often cited by research in Biochemistry (20 citations), Dermatology (20 citations), Genetics (15 citations), Food Science (14 citations) and Nutrition and Dietetics (11 citations). Paula Cerdá has collaborated with scholars based in Spain and Chile. Frequent co-authors include Eileen Collyer, Victoria Velarde, Jorge Rodríguez, Carlos P. Vío, Guadalupe Echeverría, Francisca Salas‐Pérez, Sergio Uribe, Gonzalo Martínez, Dolores Busso and Druso Pérez. Their work appears in journals such as International Journal of Oral and Maxillofacial Surgery, Journal of Clinical Oncology, Journal of Personalized Medicine, American Journal of Physiology-Heart and Circulatory Physiology and Annals of Oncology.

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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