Anna D’Amore
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Co-authors
- Giuseppe Paolisso (12 shared papers)Michele Varricchio (12 shared papers)Federica D'Onofrio (5 shared papers)Antonio Gambardella (6 shared papers)Vinicio Balbi (4 shared papers)Domenico Galzerano (4 shared papers)Stefania Ammendola (2 shared papers)Giosuè di Maro (4 shared papers)
- Journals
- Updates in Surgery (6 papers)British journal of surgery (4 papers)Journal of Personalized Medicine (4 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)The Lancet Global Health (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna D’Amore
42 papers receiving 982 citations
Peers
Comparison fields: 5 of 100
- Aging 87
- Physiology 314
- Endocrinology, Diabetes and Metabolism 177
- Biochemistry 66
- Clinical Biochemistry 65
Countries citing papers authored by Anna D’Amore
This map shows the geographic impact of Anna D’Amore'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 Anna D’Amore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna D’Amore more than expected).
Fields of papers citing papers by Anna D’Amore
This network shows the impact of papers produced by Anna D’Amore. 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 Anna D’Amore. The network helps show where Anna D’Amore may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna D’Amore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 179 | |
| 2 | 1996 | 136 | |
| 3 | 1994 | 115 | |
| 4 | 1994 | 114 | |
| 5 | 1992 | 92 | |
| 6 | 1995 | 69 | |
| 7 | 1993 | 66 | |
| 8 | 1995 | 28 | |
| 9 | 1992 | 24 | |
| 10 | 2022 | 24 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 17 | |
| 13 | 2024 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2024 | 14 | |
| 16 | 1995 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 1993 | 7 |
About Anna D’Amore
Anna D’Amore is a scholar working on Surgery, Oncology, Physiology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Anorectal Disease Treatments and Outcomes (8 papers), Colorectal Cancer Surgical Treatments (7 papers), Hernia repair and management (6 papers), Diverticular Disease and Complications (4 papers), Surgical Simulation and Training (3 papers), Minimally Invasive Surgical Techniques (3 papers), Adipose Tissue and Metabolism (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Aging (87 citations), Physiology (314 citations), Endocrinology, Diabetes and Metabolism (177 citations), Biochemistry (66 citations) and Clinical Biochemistry (65 citations). Anna D’Amore has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Paolisso, Michele Varricchio, Federica D'Onofrio, Antonio Gambardella, Vinicio Balbi, Domenico Galzerano, Stefania Ammendola, Giosuè di Maro, Luca Amato and Dario Giugliano. Their work appears in journals such as Updates in Surgery, British journal of surgery, Journal of Personalized Medicine, American Journal of Physiology-Endocrinology and Metabolism and The Lancet Global Health.
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.