F. Messa
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Iron Metabolism and Disorders
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Renal and related cancers 3
-
- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Giuseppe Saglio (8 shared papers)Daniela Cilloni (8 shared papers)Francesca Arruga (5 shared papers)Emanuela Messa (4 shared papers)Giovanni Martinelli (5 shared papers)Enrico Gottardi (4 shared papers)Michele Baccarani (5 shared papers)Giovanna Rege‐Cambrin (3 shared papers)
- Journals
- Haematologica (4 papers)Leukemia (2 papers)Journal of Personalized Medicine (1 paper)Journal of Clinical Oncology (1 paper)European Journal of Cardio-Thoracic Surgery (1 paper)
- Partner nations
- ItalyMalaysiaUnited States
In The Last Decade
F. Messa
15 papers receiving 721 citations
Peers
Comparison fields: 5 of 59
- Hematology 411
- Genetics 177
- Public Health, Environmental and Occupational Health 189
- Cancer Research 97
- Molecular Biology 313
Countries citing papers authored by F. Messa
This map shows the geographic impact of F. Messa'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 F. Messa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Messa more than expected).
Fields of papers citing papers by F. Messa
This network shows the impact of papers produced by F. Messa. 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 F. Messa. The network helps show where F. Messa may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Messa, 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 | 2002 | 200 | |
| 2 | 2010 | 117 | |
| 3 | 2008 | 80 | |
| 4 | 2005 | 78 | |
| 5 | 2008 | 78 | |
| 6 | 2007 | 78 | |
| 7 | 2010 | 42 | |
| 8 | 2006 | 38 | |
| 9 | 2009 | 7 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | The quantitaive assessment of WT1 gene expression as a method to predict response to STI571 therapy in CML patients | 2002 | 1 |
| 15 | 2024 | 1 |
About F. Messa
F. Messa is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Genetics, having authored 15 papers that have together received 730 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers), Renal and related cancers (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), NF-κB Signaling Pathways (2 papers), Tracheal and airway disorders (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Hematology (411 citations), Genetics (177 citations), Public Health, Environmental and Occupational Health (189 citations), Cancer Research (97 citations) and Molecular Biology (313 citations). F. Messa has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Giuseppe Saglio, Daniela Cilloni, Francesca Arruga, Emanuela Messa, Giovanni Martinelli, Enrico Gottardi, Michele Baccarani, Giovanna Rege‐Cambrin, Sonia Carturan and Ilaria Defilippi. Their work appears in journals such as Haematologica, Leukemia, Journal of Personalized Medicine, Journal of Clinical Oncology and European Journal of Cardio-Thoracic Surgery.
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.