Gianluca D’Ippolito
- Genetics top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Biomedical Engineering top 10%
- Oncology top 10%
- Co-authors
- Paul C. SchillerGuy A. HowardBernard A. RoosSylma DiabiraCamillo RicordiPhilippe MeneïWayne BalkanCarlos Perez‐Stable
- Topics
- Mesenchymal stem cell research (14 papers)Periodontal Regeneration and Treatments (4 papers)Pluripotent Stem Cells Research (3 papers)
- Journals
- Journal of Biological ChemistryScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- United StatesItalyFrance
In The Last Decade
Gianluca D’Ippolito
33 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 1.2k
- Molecular Biology 1.2k
- Surgery 718
- Biomedical Engineering 375
- Oncology 343
Countries citing papers authored by Gianluca D’Ippolito
This map shows the geographic impact of Gianluca D’Ippolito'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 Gianluca D’Ippolito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca D’Ippolito more than expected).
Fields of papers citing papers by Gianluca D’Ippolito
This network shows the impact of papers produced by Gianluca D’Ippolito. 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 Gianluca D’Ippolito. The network helps show where Gianluca D’Ippolito may publish in the future.
Co-authorship network of co-authors of Gianluca D’Ippolito
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca D’Ippolito. A scholar is included among the top collaborators of Gianluca D’Ippolito 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 Gianluca D’Ippolito. Gianluca D’Ippolito 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 | 10 | |
| 3 | 10 | |
| 4 | 22 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 38 | |
| 8 | 20 | |
| 9 | 45 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 29 | |
| 13 | 46 | |
| 14 | 69 | |
| 15 | 130 | |
| 16 | 60 | |
| 17 | 86 | |
| 18 | 99 | |
| 19 | Severe hypoxia enhances the formation of erythroid bursts from human cord blood cells and the maintenance of BFU-E in vitro. | 54 |
| 20 | 16 |
About Gianluca D’Ippolito
Gianluca D’Ippolito is a scholar working on Genetics, Urology and Developmental Neuroscience, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Periodontal Regeneration and Treatments (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Genetics (1.2k citations), Urology (219 citations) and Developmental Neuroscience (104 citations). Gianluca D’Ippolito has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Paul C. Schiller, Guy A. Howard, Bernard A. Roos, Sylma Diabira, Camillo Ricordi, Philippe Meneï, Wayne Balkan, Carlos Perez‐Stable, Roberta Brambilla and C.‐Y. Charles Huang. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.
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.