Catherine Riva

1.9k citations
42 papers · 1.5k indexed · 1 hit paper · h-index 19

Impact in

    • Phytochemicals and Antioxidant Activities
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies

Papers in

Catherine Riva

42 papers receiving 1.5k citations

Hit Papers

Effects of dietary polyphenols on metabolic syndrome features in humans: a systematic review 2016 · 322 citations
3222016202620192022100200300

Peers

Catherine Riva
Comparison fields: 5 of 114
  • Biochemistry 183
  • Oncology 416
  • Pathology and Forensic Medicine 239
  • Sensory Systems 64
  • Cancer Research 190
Replace Claudia Tonelli with:
Claudia Tonelli Italy
Yoshiyuki Kawamoto Japan
Myoung Ok Kim South Korea
Yutaka Shoji Japan
Tomonaga Ichikawa Japan
Masako Nakanishi United States
Luís Torres Spain
Wen-Chang Chang Taiwan
Takashi Yuri Japan
Joseph L. Dixon United States
Catherine Riva relative to Claudia Tonelli Italy Claudia Tonelli's profile →
Citations per field
00.5×3.4×
Claudia Tonelli · 1×
Citations per year

Countries citing papers authored by Catherine Riva

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 20219
4 202024
5 201718
6 20163
7 201652
8 20141
9 20124
10 2008337
11 20079
12 200678
13 200324
14 200114
15 199828
16 199813
17 19963
18 199558
19 199212
20
1-beta-D-arabinofuranosylcytosine metabolism and incorporation into DNA as determinants of in vivo murine tumor cell response.
198514

About Catherine Riva

Catherine Riva is a scholar working on Otorhinolaryngology, Biochemistry, Endocrine and Autonomic Systems, Cancer Research and Physiology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cardiovascular Disease and Adiposity (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers), Biochemical and Molecular Research (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Biochemistry (183 citations), Oncology (416 citations), Pathology and Forensic Medicine (239 citations), Sensory Systems (64 citations) and Cancer Research (190 citations). Catherine Riva has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Marie Josèphe Amiot, Agnès Vinet, Jean‐Pierre Lavieille, S. Pilotti, Marco A. Pierotti, Salvatore Andreola, Andrea Lampis, Lucio Bertario, Emilio Bajetta and Milo Frattini. Their work appears in journals such as International Journal of Oncology, Nutrients, Chemotherapy, Molecular and Cellular Biochemistry and Obesity.

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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2026