Laura Cudillo
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
Papers in
- Hematology 20
- Hematopoietic Stem Cell Transplantation 16
- Acute Myeloid Leukemia Research 6
- Oncology 16
- Polyomavirus and related diseases 7
- Co-authors
- Sergio Amadori (10 shared papers)Adriano Venditti (7 shared papers)Giovanni Del Poeta (6 shared papers)Anna Tamburini (3 shared papers)Francesco Buccisano (4 shared papers)Luca Maurillo (5 shared papers)Alessandra Picardi (20 shared papers)Massimiliano Postorino (7 shared papers)
In The Last Decade
Laura Cudillo
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Hematology 728
- Infectious Diseases 392
- Genetics 136
- Epidemiology 410
- Small Animals 80
Countries citing papers authored by Laura Cudillo
This map shows the geographic impact of Laura Cudillo'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 Laura Cudillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cudillo more than expected).
Fields of papers citing papers by Laura Cudillo
This network shows the impact of papers produced by Laura Cudillo. 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 Laura Cudillo. The network helps show where Laura Cudillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Cudillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 199 | |
| 2 | 2000 | 166 | |
| 3 | 1997 | 160 | |
| 4 | 2012 | 159 | |
| 5 | 2009 | 75 | |
| 6 | 1995 | 67 | |
| 7 | 2003 | 64 | |
| 8 | 2015 | 46 | |
| 9 | 1996 | 41 | |
| 10 | 2007 | 32 | |
| 11 | 2013 | 31 | |
| 12 | Autologous peripheral blood stem cell transplantation as first line treatment of multiple myeloma: an Italian Multicenter Study. | 2000 | 29 |
| 13 | 2015 | 28 | |
| 14 | 2006 | 26 | |
| 15 | 2014 | 22 | |
| 16 | 2016 | 20 | |
| 17 | 2004 | 20 | |
| 18 | 2008 | 20 | |
| 19 | 2009 | 20 | |
| 20 | 2009 | 18 |
About Laura Cudillo
Laura Cudillo is a scholar working on Hematology, Oncology, Epidemiology, Infectious Diseases and Genetics, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (8 papers), Polyomavirus and related diseases (7 papers), Acute Myeloid Leukemia Research (6 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (728 citations), Infectious Diseases (392 citations), Genetics (136 citations), Epidemiology (410 citations) and Small Animals (80 citations). Laura Cudillo has collaborated with scholars based in Italy, Japan and Myanmar. Frequent co-authors include Sergio Amadori, Adriano Venditti, Giovanni Del Poeta, Anna Tamburini, Francesco Buccisano, Luca Maurillo, Alessandra Picardi, Massimiliano Postorino, Maria Christina Cox and Alessandra Battaglia. Their work appears in journals such as Blood, Transfusion, BMC Infectious Diseases, Bone Marrow Transplantation and British Journal of Haematology.
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.