Francesca Macchiarini
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 10%
Papers in
-
- Effects of Radiation Exposure 3
- Radiation Dose and Imaging 2
- Co-authors
- Leonard D. Shultz (1 shared paper)Markus G. Manz (1 shared paper)A. Karolina Palucka (1 shared paper)Richard A. Miller (5 shared papers)Randy Strong (5 shared papers)Andrea L. DiCarlo (3 shared papers)Marc F. Desrosiers (1 shared paper)Carmen I. Rios (3 shared papers)
- Journals
- Aging Cell (3 papers)GeroScience (1 paper)Journal of Research of the National Institute of Standards and Technology (1 paper)The FASEB Journal (1 paper)The Journals of Gerontology Series A (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Francesca Macchiarini
16 papers receiving 939 citations
Peers
Comparison fields: 5 of 111
- Aging 162
- Geriatrics and Gerontology 36
- Radiation 85
- Endocrine and Autonomic Systems 56
- Immunology 165
Countries citing papers authored by Francesca Macchiarini
This map shows the geographic impact of Francesca Macchiarini'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 Francesca Macchiarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Macchiarini more than expected).
Fields of papers citing papers by Francesca Macchiarini
This network shows the impact of papers produced by Francesca Macchiarini. 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 Francesca Macchiarini. The network helps show where Francesca Macchiarini may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Macchiarini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 137 | |
| 2 | 2005 | 115 | |
| 3 | 2013 | 111 | |
| 4 | 2017 | 105 | |
| 5 | 2019 | 87 | |
| 6 | 1995 | 73 | |
| 7 | 2020 | 65 | |
| 8 | 2019 | 65 | |
| 9 | 2017 | 35 | |
| 10 | 2013 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2015 | 29 | |
| 13 | 2016 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 1989 | 19 | |
| 16 | 2018 | 3 |
About Francesca Macchiarini
Francesca Macchiarini is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology, Aging, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 953 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Circadian rhythm and melatonin (3 papers), Radiation Therapy and Dosimetry (3 papers), Effects of Radiation Exposure (3 papers), T-cell and B-cell Immunology (2 papers), Radiation Dose and Imaging (2 papers), Pancreatic function and diabetes (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Aging (162 citations), Geriatrics and Gerontology (36 citations), Radiation (85 citations), Endocrine and Autonomic Systems (56 citations) and Immunology (165 citations). Francesca Macchiarini has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Leonard D. Shultz, Markus G. Manz, A. Karolina Palucka, Richard A. Miller, Randy Strong, Andrea L. DiCarlo, Marc F. Desrosiers, Carmen I. Rios, Strahinja Stojadinović and Helen B. Stone. Their work appears in journals such as Aging Cell, GeroScience, Journal of Research of the National Institute of Standards and Technology, The FASEB Journal and The Journals of Gerontology Series A.
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.