Pasqualepaolo Pagliaro
- Molecular Biology
- Immunology top 10%
- Genetics top 5%
- Hematology top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Pier Luigi TazzariFrancesca RicciFrancesca ChiariniJames A. McCubreyAlberto M. MartelliAndrea PessionCamilla EvangelistiAndrea Ognibene
- Topics
- Escherichia coli research studies (5 papers)PI3K/AKT/mTOR signaling in cancer (4 papers)Mesenchymal stem cell research (4 papers)
- Cited by
- EndocrinologyGeneticsHematology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Pasqualepaolo Pagliaro
30 papers receiving 998 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 440
- Immunology 236
- Genetics 214
- Hematology 182
- Public Health, Environmental and Occupational Health 125
Countries citing papers authored by Pasqualepaolo Pagliaro
This map shows the geographic impact of Pasqualepaolo Pagliaro'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 Pasqualepaolo Pagliaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasqualepaolo Pagliaro more than expected).
Fields of papers citing papers by Pasqualepaolo Pagliaro
This network shows the impact of papers produced by Pasqualepaolo Pagliaro. 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 Pasqualepaolo Pagliaro. The network helps show where Pasqualepaolo Pagliaro may publish in the future.
Co-authorship network of co-authors of Pasqualepaolo Pagliaro
This figure shows the co-authorship network connecting the top 25 collaborators of Pasqualepaolo Pagliaro. A scholar is included among the top collaborators of Pasqualepaolo Pagliaro 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 Pasqualepaolo Pagliaro. Pasqualepaolo Pagliaro 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 | 1 | |
| 3 | 39 | |
| 4 | 26 | |
| 5 | 22 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 133 | |
| 10 | 51 | |
| 11 | 59 | |
| 12 | 58 | |
| 13 | 98 | |
| 14 | 24 | |
| 15 | 28 | |
| 16 | 10 | |
| 17 | 8 | |
| 18 | An Italian national multicenter study for the definition of reference ranges for normal values of peripheral blood lymphocyte subsets in healthy adults. | 94 |
| 19 | 3 | |
| 20 | 41 |
About Pasqualepaolo Pagliaro
Pasqualepaolo Pagliaro is a scholar working on Genetics, Endocrinology and Hematology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Endocrinology (120 citations), Genetics (214 citations) and Hematology (182 citations). Pasqualepaolo Pagliaro has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Pier Luigi Tazzari, Francesca Ricci, Francesca Chiarini, James A. McCubrey, Alberto M. Martelli, Andrea Pession, Camilla Evangelisti, Andrea Ognibene, Francesco Alviano and Maurizio Brigotti. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.
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.