Rebecca Piccolo
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- John B. McKinlayNeil PearceAndre B. AraujoMay YangMichael D. DakeFlora S. SiamiEdward B. DiethrichFrank J. Criado
- Topics
- Diabetes Management and Education (4 papers)Multiple Sclerosis Research Studies (4 papers)Obesity, Physical Activity, Diet (4 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Rebecca Piccolo
22 papers receiving 516 citations
Peers
Comparison fields: 5 of 81
- Pulmonary and Respiratory Medicine 133
- Endocrinology, Diabetes and Metabolism 121
- Surgery 117
- Cardiology and Cardiovascular Medicine 95
- Public Health, Environmental and Occupational Health 89
Countries citing papers authored by Rebecca Piccolo
This map shows the geographic impact of Rebecca Piccolo'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 Rebecca Piccolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Piccolo more than expected).
Fields of papers citing papers by Rebecca Piccolo
This network shows the impact of papers produced by Rebecca Piccolo. 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 Rebecca Piccolo. The network helps show where Rebecca Piccolo may publish in the future.
Co-authorship network of co-authors of Rebecca Piccolo
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Piccolo. A scholar is included among the top collaborators of Rebecca Piccolo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rebecca Piccolo. Rebecca Piccolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 52 | |
| 8 | 14 | |
| 9 | 52 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 57 | |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 27 | |
| 16 | Racial and socioeconomic disparities in sleep and chronic disease: results of a longitudinal investigation. | 50 |
| 17 | 23 | |
| 18 | 109 | |
| 19 | 4 | |
| 20 | 10 |
About Rebecca Piccolo
Rebecca Piccolo is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Nephrology, having authored 25 papers that have together received 530 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), Multiple Sclerosis Research Studies (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Health (56 citations) and Nephrology (41 citations). Rebecca Piccolo has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John B. McKinlay, Neil Pearce, Andre B. Araujo, May Yang, Michael D. Dake, Flora S. Siami, Edward B. Diethrich, Frank J. Criado, Rodney A. White and Roy K. Greenberg. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Neurology.
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.