Massimo Saini
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 9
- Cancer Cells and Metastasis 7
- Cancer Immunotherapy and Biomarkers 3
-
- NF-κB Signaling Pathways 2
- MicroRNA in disease regulation 2
- Co-authors
- Andreas Trumpp (6 shared papers)Markus Wallwiener (3 shared papers)Hans‐Peter Sinn (3 shared papers)Andreas Schneeweiß (3 shared papers)Albrecht Stenzinger (2 shared papers)Martina Scharpff (2 shared papers)Corinna Klein (2 shared papers)Vanessa Vogel (2 shared papers)
- Journals
- Cell stem cell (1 paper)Nature Biotechnology (1 paper)The Journal of Cell Biology (1 paper)Blood (1 paper)Nature Genetics (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Massimo Saini
11 papers receiving 1.6k citations
Massimo Saini's Hit Papers
Peers
Comparison fields: 5 of 79
- Cancer Research 688
- Oncology 905
- Immunology 271
- Biotechnology 91
- Molecular Biology 575
Countries citing papers authored by Massimo Saini
This map shows the geographic impact of Massimo Saini'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 Massimo Saini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Saini more than expected).
Fields of papers citing papers by Massimo Saini
This network shows the impact of papers produced by Massimo Saini. 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 Massimo Saini. The network helps show where Massimo Saini may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Saini, 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 | Identification of a population of blood circulating tumor cells from breast cancer patients that initiates metastasis in a xenograft assay Hit paper breakdown → | 2013 | 879 |
| 2 | The metastatic spread of breast cancer accelerates during sleep Hit paper breakdown → | 2022 | 200 |
| 3 | 2012 | 162 | |
| 4 | 2013 | 108 | |
| 5 | 2014 | 72 | |
| 6 | 2017 | 61 | |
| 7 | 2019 | 53 | |
| 8 | 2015 | 47 | |
| 9 | 2022 | 16 | |
| 10 | 2018 | 13 | |
| 11 | 2015 | 3 | |
| 12 | 2025 | 0 |
About Massimo Saini
Massimo Saini is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Hematology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Cancer Immunotherapy and Biomarkers (3 papers), NF-κB Signaling Pathways (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), MicroRNA in disease regulation (2 papers), Extracellular vesicles in disease (2 papers), Immune cells in cancer (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (688 citations), Oncology (905 citations), Immunology (271 citations), Biotechnology (91 citations) and Molecular Biology (575 citations). Massimo Saini has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Andreas Trumpp, Markus Wallwiener, Hans‐Peter Sinn, Andreas Schneeweiß, Albrecht Stenzinger, Martina Scharpff, Corinna Klein, Vanessa Vogel, Wilko Weichert and Irène Baccelli. Their work appears in journals such as Cell stem cell, Nature Biotechnology, The Journal of Cell Biology, Blood and Nature Genetics.
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.