Christina M. Sciarrillo

35 papers receiving 308 citations

Peers

Christina M. Sciarrillo
Comparison fields: 5 of 77
  • Physiology 128
  • Endocrinology, Diabetes and Metabolism 57
  • Behavioral Neuroscience 12
  • Rehabilitation 21
  • Biological Psychiatry 7
Replace Hiroichi Takeuchi with:
Hiroichi Takeuchi Japan
Małgorzata Jamka Poland
Chaithanya Avanthika India
Emma Argelich Spain
Liliana C. Baptista Portugal
Signe Tellerup Nielsen Denmark
Л. И. Колесникова Russia
Dana Hrnčiariková Czechia
B.A. Shastry India
Laura Mihalache Romania
Christina M. Sciarrillo relative to Hiroichi Takeuchi Japan Hiroichi Takeuchi's profile →
Citations per field
00.5×9.3×
Hiroichi Takeuchi · 1×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 202140
3 202130
4 202124
5 201914
6 201813
7 201912
8 202011
9 20237
10 20217
11 20217
12 20237
13 20226
14 20216
15 20216
16 20245
17 20234
18 20204
19 20233
20 20243

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 38 papers that have together received 311 indexed citations. Recurring topics across this work include Diet and metabolism studies (11 papers), Cardiovascular Disease and Adiposity (6 papers), Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diet, Metabolism, and Disease (4 papers), Nutritional Studies and Diet (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Physiology (128 citations), Endocrinology, Diabetes and Metabolism (57 citations), Behavioral Neuroscience (12 citations), Rehabilitation (21 citations) and Biological Psychiatry (7 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, T. Kent Teague, Sara K. Rosenkranz, Edralin A. Lucas, Stephen L. Clarke, Kevin D. Hall and Aaron Hengist. Their work appears in journals such as Current Developments in Nutrition, Circulation, Nutrients, Stigma and Health 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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