Lara Faggi
- Molecular Biology
- Infectious Diseases top 10%
- Neurology top 10%
- Cardiology and Cardiovascular Medicine
- Oncology
- Co-authors
- Giovanni TulipanoAnna Maria CaroliDaniela CocchiA. NardoneAndrea GiustinaRobert KutysKenji KawaiAloke V. Finn
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Metabolism, Diabetes, and Cancer (5 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Lara Faggi
19 papers receiving 489 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 162
- Infectious Diseases 161
- Neurology 153
- Cardiology and Cardiovascular Medicine 72
- Oncology 56
Countries citing papers authored by Lara Faggi
This map shows the geographic impact of Lara Faggi'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 Lara Faggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lara Faggi more than expected).
Fields of papers citing papers by Lara Faggi
This network shows the impact of papers produced by Lara Faggi. 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 Lara Faggi. The network helps show where Lara Faggi may publish in the future.
Co-authorship network of co-authors of Lara Faggi
This figure shows the co-authorship network connecting the top 25 collaborators of Lara Faggi. A scholar is included among the top collaborators of Lara Faggi 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 Lara Faggi. Lara Faggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Microthrombi as a Major Cause of Cardiac Injury in COVID-19breakdown → | 173 |
| 2 | 4 | |
| 3 | 33 | |
| 4 | 18 | |
| 5 | 34 | |
| 6 | 18 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 66 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | Effects of the combined treatment with AMPK activator and somatostatin-14 on hormone secretion and cell proliferation in cultured GH-secreting pituitary tumor cells | 1 |
| 14 | 14 | |
| 15 | 9 | |
| 16 | Hypopituitarism and antiphospholipid syndrome. | 10 |
| 17 | 52 | |
| 18 | [Polyneuritis in the shoe industry (clinicial, electromyographic and biohumoral study)]. | 3 |
| 19 | [Early uremic polyneuropathy: clinical and electromyographic study of subjects with and without treatment with extracorporeal dialysis]. | 1 |
About Lara Faggi
Lara Faggi is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology and Biological Psychiatry, having authored 19 papers that have together received 499 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Internal Medicine (39 citations), Neurology (153 citations) and Infectious Diseases (161 citations). Lara Faggi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giovanni Tulipano, Anna Maria Caroli, Daniela Cocchi, A. Nardone, Andrea Giustina, Robert Kutys, Kenji Kawai, Aloke V. Finn, Rika Kawakami and Anne Cornelissen. Their work appears in journals such as The Lancet, Circulation and International Journal of Molecular Sciences.
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.