Edda Cava

2.1k citations
30 papers · 1.2k · h-index 16

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Nutrition and Health in Aging
    • Diet and metabolism studies
    • Dietary Effects on Health
    • Adipose Tissue and Metabolism

Papers in

    • Dietary Effects on Health 9
    • Nutrition and Health in Aging 6
    • Diet and metabolism studies 6
    • Adipose Tissue and Metabolism 3
    • Bariatric Surgery and Outcomes 2

Edda Cava

27 papers receiving 1.1k citations

Peers

Edda Cava
Comparison fields: 5 of 104
  • Aging 107
  • Physiology 526
  • Geriatrics and Gerontology 55
  • Endocrine and Autonomic Systems 69
  • Endocrinology, Diabetes and Metabolism 105
Replace Valeria Tosti with:
Valeria Tosti United States
Clara Di Germanio United States
Beatrice Bertozzi United States
Estíbaliz Goyenechea Spain
Juan José Hernández Morante Spain
Manjushri Bhapkar United States
Morena Martucci Italy
Gregory C. Henderson United States
Sarah J. Lessard United States
Domenico Fusco Italy
Edda Cava relative to Valeria Tosti United States Valeria Tosti's profile →
Citations per field
00.5×
Valeria Tosti · 1×
Citations per year

Countries citing papers authored by Edda Cava

Since Specialization
Citations

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

Fields of papers citing papers by Edda Cava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017313
2 2012165
3 2016128
4 201389
5 201656
6 201554
7 201751
8 201746
9 201240
10 202134
11 201232
12 202423
13 202222
14 201320
15 202420
16 202119
17 202312
18 201311
19 20256
20 20246

About Edda Cava

Edda Cava is a scholar working on Physiology, Surgery, Aging, Epidemiology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dietary Effects on Health (9 papers), Nutrition and Health in Aging (6 papers), Diet and metabolism studies (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Adipose Tissue and Metabolism (3 papers), Muscle metabolism and nutrition (2 papers), Nutritional Studies and Diet (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Aging (107 citations), Physiology (526 citations), Geriatrics and Gerontology (55 citations), Endocrine and Autonomic Systems (69 citations) and Endocrinology, Diabetes and Metabolism (105 citations). Edda Cava has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Bettina Mittendorfer, Nai Chien Yeat, Luigi Fontana, Francesco Spelta, Beatrice Bertozzi, Barbara Neri, Lorenzo M. Donini, Nicola Veronese, Salvatore Carbone and Domenico Cucinotta. Their work appears in journals such as Journal of Translational Medicine, The journal of nutrition health & aging, Clinical Nutrition, Nutrients and Aging Cell.

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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