L Pacilli
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
Papers in
-
- Acute Myeloid Leukemia Research 5
- Multiple Myeloma Research and Treatments 2
-
- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Anna Tonso (1 shared paper)Annarita Cenacchi (1 shared paper)Marco Montillo (1 shared paper)Paolo F. Ricci (1 shared paper)Laura Cudillo (1 shared paper)Albano Del Favero (1 shared paper)Livio Pagano (1 shared paper)Annamaria Nosari (1 shared paper)
In The Last Decade
L Pacilli
17 papers receiving 460 citations
Peers
Comparison fields: 5 of 35
- Hematology 208
- Infectious Diseases 169
- Genetics 19
- Public Health, Environmental and Occupational Health 73
- Small Animals 7
Countries citing papers authored by L Pacilli
This map shows the geographic impact of L Pacilli'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 L Pacilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Pacilli more than expected).
Fields of papers citing papers by L Pacilli
This network shows the impact of papers produced by L Pacilli. 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 L Pacilli. The network helps show where L Pacilli may publish in the future.
Co-authors
The 25 scholars most cited alongside L Pacilli, 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 | 1997 | 176 | |
| 2 | 2014 | 81 | |
| 3 | 2002 | 73 | |
| 4 | 1980 | 32 | |
| 5 | 1990 | 32 | |
| 6 | 1980 | 23 | |
| 7 | 2010 | 23 | |
| 8 | 1991 | 19 | |
| 9 | Sequential combination of methotrexate and L-asparaginase in the treatment of refractory acute leukemia. | 1981 | 14 |
| 10 | 1981 | 11 | |
| 11 | 1987 | 11 | |
| 12 | 1979 | 9 | |
| 13 | 1983 | 4 | |
| 14 | 1995 | 3 | |
| 15 | 2004 | 3 | |
| 16 | 1981 | 2 | |
| 17 | Preliminary results of the combination methotrexate-asparaginase in patients with acute non lymphoid leukemia. | 1978 | 1 |
| 18 | 2009 | 0 |
About L Pacilli
L Pacilli is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Pathology and Forensic Medicine and Infectious Diseases, having authored 18 papers that have together received 517 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Retinoids in leukemia and cellular processes (2 papers), Multiple Myeloma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Antifungal resistance and susceptibility (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Hematology (208 citations), Infectious Diseases (169 citations), Genetics (19 citations), Public Health, Environmental and Occupational Health (73 citations) and Small Animals (7 citations). L Pacilli has collaborated with scholars based in Italy and Brazil. Frequent co-authors include Anna Tonso, Annarita Cenacchi, Marco Montillo, Paolo F. Ricci, Laura Cudillo, Albano Del Favero, Livio Pagano, Annamaria Nosari, Francesco Fabbiano and Sergio Amadori. Their work appears in journals such as Annals of Oncology, British Journal of Haematology, Leukemia, American Journal of Hematology and Annals of Hematology.
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.