Daniela Caporossi

3.5k citations
109 papers · 2.8k indexed · h-index 30

Impact in

    • Exercise and Physiological Responses
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging

Papers in

Daniela Caporossi

105 papers receiving 2.7k citations

Peers

Daniela Caporossi
Comparison fields: 5 of 136
  • Rehabilitation 531
  • Physiology 756
  • Aging 50
  • Cancer Research 329
  • Cell Biology 350
Replace Angus G. Scrimgeour with:
Angus G. Scrimgeour United States
Paul B. Rosenberg United States
Ivan Dimauro Italy
Glenn D. Wadley Australia
Adam J. Rose Denmark
Ricardo Boland Argentina
Takuya Sakurai Japan
Ole Hartvig Mortensen Denmark
Yan Burelle Canada
Kristin I. Stanford United States
Daniela Caporossi relative to Angus G. Scrimgeour United States Angus G. Scrimgeour's profile →
Citations per field
00.5×5.3×
Angus G. Scrimgeour · 1×
Citations per year

Countries citing papers authored by Daniela Caporossi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Caporossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20240
4 20238
5 202215
6 20224
7 202127
8 202029
9 201736
10 201527
11 201418
12 201410
13 201353
14 201364
15 20113
16 199522
17 199334
18 199118
19 198915
20 19888

About Daniela Caporossi

Daniela Caporossi is a scholar working on Rehabilitation, Physiology, Aging, Cell Biology and Cancer Research, having authored 109 papers that have together received 2.8k indexed citations. Recurring topics across this work include Exercise and Physiological Responses (34 papers), Adipose Tissue and Metabolism (18 papers), Muscle metabolism and nutrition (13 papers), DNA Repair Mechanisms (11 papers), Heat shock proteins research (10 papers), Genetics and Neurodevelopmental Disorders (8 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Muscle Physiology and Disorders (7 papers). The work is most often cited by research in Rehabilitation (531 citations), Physiology (756 citations), Aging (50 citations), Cancer Research (329 citations) and Cell Biology (350 citations). Daniela Caporossi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Ivan Dimauro, Neri Mercatelli, Malcolm J. Jackson, Tim Pearson, Luigi Di Luigi, Bruna Tedeschi, Patrizia Vernole, Cristina Fantini, Stefania Sabatini and Maria Paola Paronetto. Their work appears in journals such as Free Radical Biology and Medicine, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Redox Biology, Free Radical Research and International Journal of Molecular Sciences.

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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