Leonor Rivera

1.2k citations
11 papers · 962 · h-index 10

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 5
    • Adipokines, Inflammation, and Metabolic Diseases 3
    • Liver Disease Diagnosis and Treatment 2

Leonor Rivera

11 papers receiving 932 citations

Peers

Leonor Rivera
Comparison fields: 5 of 97
  • Geriatrics and Gerontology 237
  • Biochemistry 177
  • Physiology 363
  • Endocrinology, Diabetes and Metabolism 183
  • Epidemiology 271
Replace Elizabeth Hijona with:
Elizabeth Hijona Spain
Subhrojit Sen India
Yanxiang Gao China
Manuel Gonzálvez Spain
Morten Møller Poulsen Denmark
Sattar Gorgani‐Firuzjaee Iran
Eric Sérée France
Guangyao Song China
M. Cassader Italy
Leonor Rivera relative to Elizabeth Hijona Spain Elizabeth Hijona's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leonor Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Leonor Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Leonor Rivera, 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 Leonor Rivera Line = papers co-authored together Leonor Rivera links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008390
2 2008343
3 201255
4 200946
5 201526
6 201424
7 201623
8 201419
9 201418
10 201514
11
[Risk factors for persistent diarrhea].
19964

About Leonor Rivera

Leonor Rivera is a scholar working on Oncology, Epidemiology, Pulmonary and Respiratory Medicine, Physiology and Rheumatology, having authored 11 papers that have together received 962 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Blood properties and coagulation (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Geriatrics and Gerontology (237 citations), Biochemistry (177 citations), Physiology (363 citations), Endocrinology, Diabetes and Metabolism (183 citations) and Epidemiology (271 citations). Leonor Rivera has collaborated with scholars based in Spain and Cuba. Frequent co-authors include Antonio Zarzuelo, Milagros Galisteo, Rocío Morón, Manuel Sánchez, Amparo Vayá, Begoña Laíz, Antonio Hernández‐Mijares, Rafael Alis, Marco Romagnoli and Eva Solá. Their work appears in journals such as Obesity, Clinical Biochemistry, Biochemical Pharmacology, Clinical Nutrition and Clinical Hemorheology and Microcirculation.

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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