Sara Aprano

811 citations
21 papers · 543 · h-index 13

Impact in

Papers in

Sara Aprano

18 papers receiving 537 citations

Peers

Sara Aprano
Comparison fields: 5 of 71
  • Endocrine and Autonomic Systems 88
  • Physiology 255
  • Experimental and Cognitive Psychology 86
  • Endocrinology, Diabetes and Metabolism 71
  • Public Health, Environmental and Occupational Health 118
Replace Monica Guglielmetti with:
Monica Guglielmetti Italy
Hana Zamrazilová Czechia
F. Dadoun France
Adriana Rusu Romania
Taoufiq Dakka Morocco
Chihiro Morita Japan
Kathy Hovey United States
Shuhao Lin United States
J. Thormann Germany
Danielle M. Ostendorf United States
Sara Aprano relative to Monica Guglielmetti Italy Monica Guglielmetti's profile →
Citations per field
00.5×6.1×
Monica Guglielmetti · 1×
Citations per year

Countries citing papers authored by Sara Aprano

Since Specialization
Citations

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

Fields of papers citing papers by Sara Aprano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202085
2 202082
3 202074
4 202242
5 202237
6 202032
7 202232
8 202129
9 202026
10 202020
11 202119
12 202216
13 202113
14 202012
15 202010
16 20235
17 20225
18 20253
19 20221
20 20250

About Sara Aprano

Sara Aprano is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 543 indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Nutritional Studies and Diet (5 papers), Obesity, Physical Activity, Diet (3 papers), Circadian rhythm and melatonin (3 papers), Sleep and related disorders (2 papers), Dietary Effects on Health (2 papers), Adipose Tissue and Metabolism (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (88 citations), Physiology (255 citations), Experimental and Cognitive Psychology (86 citations), Endocrinology, Diabetes and Metabolism (71 citations) and Public Health, Environmental and Occupational Health (118 citations). Sara Aprano has collaborated with scholars based in Italy, Germany and Uruguay. Frequent co-authors include Silvia Savastano, Annamaria Colao, Giovanna Muscogiuri, Luigi Barrea, Gabriella Pugliese, Daniela Laudisio, Lydia Framondi, Rossana Di Matteo, Claudia Vetrani and Ludovica Verde. Their work appears in journals such as International Journal of Food Sciences and Nutrition, Nutrients, Frontiers in Public Health, Journal of Translational Medicine and Journal of Evidence Based Dental Practice.

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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