Pasqualepaolo Pagliaro
- Endocrinology top 5%
- Escherichia coli research studies 5
- Genetics top 5%
- Mesenchymal stem cell research 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Hemoglobinopathies and Related Disorders 3
- Hematology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 3
- Virology top 10%
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- PI3K/AKT/mTOR signaling in cancer 4
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- Acute Lymphoblastic Leukemia research 4
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- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Pier Luigi TazzariFrancesca RicciFrancesca ChiariniJames A. McCubreyAlberto M. MartelliAndrea PessionCamilla EvangelistiAndrea Ognibene
- Cited by
- EndocrinologyGeneticsHematology
- Journals
- Journal of Biological Chemistry (1 paper)Blood (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Pasqualepaolo Pagliaro
30 papers receiving 998 citations
Peers
Comparison fields: 5 of 109
- Endocrinology 120
- Genetics 214
- Hematology 182
- Immunology 236
- Virology 36
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
The 25 scholars most cited alongside Pasqualepaolo Pagliaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 19 | |
| 2 | 2015 | 1 | |
| 3 | 2014 | 39 | |
| 4 | 2014 | 26 | |
| 5 | 2011 | 22 | |
| 6 | 2011 | 13 | |
| 7 | 2011 | 11 | |
| 8 | 2011 | 4 | |
| 9 | 2010 | 133 | |
| 10 | 2010 | 51 | |
| 11 | 2010 | 59 | |
| 12 | 2010 | 58 | |
| 13 | 2009 | 98 | |
| 14 | 2009 | 24 | |
| 15 | 2009 | 28 | |
| 16 | 2008 | 10 | |
| 17 | 2008 | 8 | |
| 18 | An Italian national multicenter study for the definition of reference ranges for normal values of peripheral blood lymphocyte subsets in healthy adults. | 1999 | 94 |
| 19 | 1997 | 3 | |
| 20 | 1996 | 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), Mesenchymal stem cell research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Immune Cell Function and Interaction (3 papers) and Hemoglobinopathies and Related Disorders (3 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.