Lorenza Nisticò
- Genetics top 1%
- Surgery top 5%
- Immunology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Co-authors
- Raffaella BuzzettiMaria Antonietta StaziCorrado FagnaniLeo DunkelMarlies de LangeBelinda K. CornesSampo SammalistoEmanuela Medda
- Topics
- Diabetes and associated disorders (15 papers)Pancreatic function and diabetes (10 papers)Genetic Associations and Epidemiology (6 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Lorenza Nisticò
53 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 1.4k
- Surgery 604
- Immunology 603
- Endocrinology, Diabetes and Metabolism 573
- Molecular Biology 371
Countries citing papers authored by Lorenza Nisticò
This map shows the geographic impact of Lorenza Nisticò'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 Lorenza Nisticò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenza Nisticò more than expected).
Fields of papers citing papers by Lorenza Nisticò
This network shows the impact of papers produced by Lorenza Nisticò. 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 Lorenza Nisticò. The network helps show where Lorenza Nisticò may publish in the future.
Co-authorship network of co-authors of Lorenza Nisticò
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenza Nisticò. A scholar is included among the top collaborators of Lorenza Nisticò 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 Lorenza Nisticò. Lorenza Nisticò is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 14 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 39 | |
| 11 | 25 | |
| 12 | 44 | |
| 13 | Skytthe A, Spector TD, Stazi MA, Willemsen G, Kaprio J, Heritability of adult body height: a comparative study of twin cohorts in eight countries | 2 |
| 14 | 443 | |
| 15 | 38 | |
| 16 | Linkage and association analysis in italian multiple sclerosis multiplex families | 1 |
| 17 | 143 | |
| 18 | The CTLA-4 gene region of chromosome 2q33 is linked to, and associated with, type 1 diabetes. Belgian Diabetes Registrybreakdown → | 612 |
| 19 | 16 | |
| 20 | 6 |
About Lorenza Nisticò
Lorenza Nisticò is a scholar working on Genetics, Gastroenterology and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (15 papers), Pancreatic function and diabetes (10 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Genetics (1.4k citations), Endocrinology, Diabetes and Metabolism (573 citations) and Gastroenterology (181 citations). Lorenza Nisticò has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Raffaella Buzzetti, Maria Antonietta Stazi, Corrado Fagnani, Leo Dunkel, Marlies de Lange, Belinda K. Cornes, Sampo Sammalisto, Emanuela Medda, Markus Perola and Jaakko Kaprio. Their work appears in journals such as Nature Genetics, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.