Francesco De Luca
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Surgery top 10%
- Rheumatology top 2%
- Co-authors
- Jeffrey BaronShufang WuMoshe PhillipOla NilssonRose MarinoJennifer A. UyedaJan M. WitVerónica Mericq
- Topics
- Growth Hormone and Insulin-like Growth Factors (18 papers)Fibroblast Growth Factor Research (8 papers)Genetic Syndromes and Imprinting (7 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Francesco De Luca
94 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 597
- Genetics 572
- Surgery 463
- Rheumatology 357
Countries citing papers authored by Francesco De Luca
This map shows the geographic impact of Francesco De Luca'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 Francesco De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco De Luca more than expected).
Fields of papers citing papers by Francesco De Luca
This network shows the impact of papers produced by Francesco De Luca. 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 Francesco De Luca. The network helps show where Francesco De Luca may publish in the future.
Co-authorship network of co-authors of Francesco De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco De Luca. A scholar is included among the top collaborators of Francesco De Luca 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 Francesco De Luca. Francesco De Luca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 28 | |
| 8 | 7 | |
| 9 | 77 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 36 | |
| 13 | 17 | |
| 14 | 311 | |
| 15 | 5 | |
| 16 | 50 | |
| 17 | 42 | |
| 18 | 71 | |
| 19 | 26 | |
| 20 | 36 |
About Francesco De Luca
Francesco De Luca is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Genetics, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Fibroblast Growth Factor Research (8 papers) and Genetic Syndromes and Imprinting (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (597 citations), Rheumatology (357 citations) and Reproductive Medicine (186 citations). Francesco De Luca has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Jeffrey Baron, Shufang Wu, Moshe Phillip, Ola Nilsson, Rose Marino, Jennifer A. Uyeda, Jan M. Wit, Verónica Mericq, Elizabeth A. Suarez and Edna E. Mancilla. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.