Christina M. Sciarrillo

36 papers receiving 327 citations

Peers

Christina M. Sciarrillo
Comparison fields: 5 of 76
  • Physiology 99
  • Behavioral Neuroscience 11
  • Rehabilitation 19
  • Biological Psychiatry 7
  • Endocrinology, Diabetes and Metabolism 44
Replace Naoto Taguchi with:
Naoto Taguchi Japan
Emilia Frangos Switzerland
Hiroichi Takeuchi Japan
Signe Tellerup Nielsen Denmark
Liliana C. Baptista Portugal
Emma Argelich Spain
Małgorzata Jamka Poland
Л. И. Колесникова Russia
B.A. Shastry India
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Citations per year

Countries citing papers authored by Christina M. Sciarrillo

Since Specialization
Citations

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

Fields of papers citing papers by Christina M. Sciarrillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina M. Sciarrillo. 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 Christina M. Sciarrillo. The network helps show where Christina M. Sciarrillo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202146
3 202130
4 202127
5 201915
6 201813
7 201912
8 202011
9 20238
10 20237
11 20217
12 20217
13 20216
14 20226
15 20216
16 20245
17 20235
18 20244
19 20234
20 20204

About Christina M. Sciarrillo

Christina M. Sciarrillo is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 329 indexed citations. Recurring topics across this work include Diet and metabolism studies (8 papers), Cardiovascular Disease and Adiposity (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obesity, Physical Activity, Diet (3 papers), Muscle metabolism and nutrition (3 papers), Obesity and Health Practices (3 papers) and Dietary Effects on Health (3 papers). The work is most often cited by research in Physiology (99 citations), Behavioral Neuroscience (11 citations), Rehabilitation (19 citations), Biological Psychiatry (7 citations) and Endocrinology, Diabetes and Metabolism (44 citations). Christina M. Sciarrillo has collaborated with scholars based in United States and Australia. Frequent co-authors include Sam R. Emerson, Nicholas A. Koemel, Nathaniel D.M. Jenkins, Stephanie P. Kurti, Ashlee Taylor, T. Kent Teague, Sara K. Rosenkranz, Edralin A. Lucas, Stephen L. Clarke and Misty A.W. Hawkins. Their work appears in journals such as Current Developments in Nutrition, Circulation, Stigma and Health, Nutrients and American Journal of Physiology-Heart and Circulatory Physiology.

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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