Roberto Di Lauro
- Molecular Biology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Genetics top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Co-authors
- Mario De FeliceMelanie PriceGiuseppe DamanteMariastella ZanniniDomenico LazzaroJeffrey A. WhitsettHelen Francis-LangMarie‐Geneviève Mattéi
- Topics
- Thyroid Disorders and Treatments (42 papers)Animal Genetics and Reproduction (19 papers)Pancreatic function and diabetes (19 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Roberto Di Lauro
198 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 8.2k
- Endocrinology, Diabetes and Metabolism 4.0k
- Genetics 3.2k
- Pulmonary and Respiratory Medicine 1.5k
- Surgery 1.4k
Countries citing papers authored by Roberto Di Lauro
This map shows the geographic impact of Roberto Di Lauro'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 Roberto Di Lauro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Di Lauro more than expected).
Fields of papers citing papers by Roberto Di Lauro
This network shows the impact of papers produced by Roberto Di Lauro. 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 Roberto Di Lauro. The network helps show where Roberto Di Lauro may publish in the future.
Co-authorship network of co-authors of Roberto Di Lauro
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Di Lauro. A scholar is included among the top collaborators of Roberto Di Lauro 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 Roberto Di Lauro. Roberto Di Lauro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 40 | |
| 3 | 66 | |
| 4 | 52 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 44 | |
| 9 | 61 | |
| 10 | 164 | |
| 11 | 46 | |
| 12 | 48 | |
| 13 | 19 | |
| 14 | 23 | |
| 15 | 198 | |
| 16 | 33 | |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 91 | |
| 20 | [Biochemical profile of essential arterial hypertension. Indications for a targeted therapy: experience with propranolol]. | 3 |
About Roberto Di Lauro
Roberto Di Lauro is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 202 papers that have together received 12.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (42 papers), Animal Genetics and Reproduction (19 papers) and Pancreatic function and diabetes (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.0k citations), Molecular Biology (8.2k citations) and Genetics (3.2k citations). Roberto Di Lauro has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mario De Felice, Melanie Price, Giuseppe Damante, Mariastella Zannini, Domenico Lazzaro, Jeffrey A. Whitsett, Helen Francis-Lang, Marie‐Geneviève Mattéi, Pilar Santisteban and Renata Lonigro. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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.