Marco Danova
- Oncology top 2%
- Neutropenia and Cancer Infections 29
- Cancer Treatment and Pharmacology 27
- Colorectal Cancer Treatments and Studies 13
- Cancer Cells and Metastasis 13
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 19
- Acute Myeloid Leukemia Research 18
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 21
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 14
- Immunology top 5%
- Co-authors
- Alberto RiccardiGiuliano MazziniMonica GiordanoSilvia BrugnatelliG. UcciB. RovatiCamillo PortaS. Mariucci
- Cited by
- OncologyHematologyCancer Research
- Partner nations
- ItalyCanadaUnited States
In The Last Decade
Marco Danova
219 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 129
- Oncology 1.6k
- Hematology 553
- Cancer Research 634
- Genetics 413
- Immunology 520
Countries citing papers authored by Marco Danova
This map shows the geographic impact of Marco Danova'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 Marco Danova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Danova more than expected).
Fields of papers citing papers by Marco Danova
This network shows the impact of papers produced by Marco Danova. 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 Marco Danova. The network helps show where Marco Danova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Danova, 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 | 2017 | 6 | |
| 2 | 2014 | 24 | |
| 3 | 2013 | 11 | |
| 4 | 2012 | 27 | |
| 5 | 2011 | 11 | |
| 6 | 2011 | 58 | |
| 7 | 2010 | 83 | |
| 8 | 2006 | 18 | |
| 9 | 2006 | 34 | |
| 10 | 2004 | 21 | |
| 11 | Cytokine receptors, growth factors and cell cycle in human bone marrow and peripheral blood hematopoietic progenitors. | 1998 | 11 |
| 12 | The expression of proliferation and quiescence associated antigens in acute myeloid leukemia correlates with survival duration: analysis of 15 refractory cases. | 1997 | 2 |
| 13 | 1996 | 7 | |
| 14 | 1995 | 8 | |
| 15 | 1994 | 58 | |
| 16 | 1993 | 27 | |
| 17 | 1992 | 10 | |
| 18 | LA P170 NEL MIELOMA MULITIPLO E NELLE LEUCEMIE ACUTE | 1991 | 2 |
| 19 | Ploidy and proliferative activity of human gastric carcinoma: a cytofluorometric study on fresh and on paraffin embedded material. | 1987 | 8 |
| 20 | 1987 | 5 |
About Marco Danova
Marco Danova is a scholar working on Hematology, Oncology and Genetics, having authored 226 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (29 papers), Cancer Treatment and Pharmacology (27 papers), Cancer Genomics and Diagnostics (21 papers), Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (18 papers), Chronic Lymphocytic Leukemia Research (14 papers), Colorectal Cancer Treatments and Studies (13 papers) and Cancer Cells and Metastasis (13 papers). The work is most often cited by research in Oncology (1.6k citations), Hematology (553 citations) and Cancer Research (634 citations). Marco Danova has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Alberto Riccardi, Giuliano Mazzini, Monica Giordano, Silvia Brugnatelli, G. Ucci, B. Rovati, Camillo Porta, S. Mariucci, Martina Torchio and Mario Cazzola. Their work appears in journals such as Oncology Reports, Oncology, British Journal of Cancer, Journal of Clinical Oncology and Cancer.
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.