Fabio Guolo
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Hematology 30
- Acute Myeloid Leukemia Research 23
- Chronic Myeloid Leukemia Treatments 8
- Multiple Myeloma Research and Treatments 6
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- Acute Lymphoblastic Leukemia research 14
- Co-authors
- Paola Minetto (36 shared papers)Roberto M. Lemoli (32 shared papers)Silvia Pesce (3 shared papers)Emanuela Marcenaro (3 shared papers)Marco Greppi (3 shared papers)Marco Gobbi (27 shared papers)Marino Clavio (24 shared papers)Valentina Obino (2 shared papers)
- Journals
- Blood (20 papers)Leukemia Research (3 papers)Frontiers in Immunology (2 papers)Annals of Hematology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Fabio Guolo
42 papers receiving 303 citations
Peers
Comparison fields: 5 of 46
- Hematology 112
- Oncology 127
- Immunology 91
- Genetics 36
- Pathology and Forensic Medicine 39
Countries citing papers authored by Fabio Guolo
This map shows the geographic impact of Fabio Guolo'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 Fabio Guolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Guolo more than expected).
Fields of papers citing papers by Fabio Guolo
This network shows the impact of papers produced by Fabio Guolo. 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 Fabio Guolo. The network helps show where Fabio Guolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Guolo, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2020 | 40 | |
| 3 | 2013 | 29 | |
| 4 | 2013 | 27 | |
| 5 | 2014 | 15 | |
| 6 | 2014 | 12 | |
| 7 | 2016 | 12 | |
| 8 | 2015 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2012 | 6 | |
| 15 | 2017 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2013 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 3 |
About Fabio Guolo
Fabio Guolo is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Oncology, having authored 46 papers that have together received 306 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Acute Lymphoblastic Leukemia research (14 papers), Histone Deacetylase Inhibitors Research (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Hematology (112 citations), Oncology (127 citations), Immunology (91 citations), Genetics (36 citations) and Pathology and Forensic Medicine (39 citations). Fabio Guolo has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Paola Minetto, Roberto M. Lemoli, Silvia Pesce, Emanuela Marcenaro, Marco Greppi, Marco Gobbi, Marino Clavio, Valentina Obino, Maurizio Miglino and Filippo Ballerini. Their work appears in journals such as Blood, Leukemia Research, Frontiers in Immunology, Annals of Hematology and Scientific Reports.
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.