Massimo Saini

2.4k citations
19 papers · 1.9k · 2 hit papers · h-index 14

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Cells and Metastasis 11
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Genomics and Diagnostics 4
    • NF-κB Signaling Pathways 2

Massimo Saini

18 papers receiving 1.9k citations

Massimo Saini's Hit Papers

The metastatic spread of breast cancer accelerates during sleep 2022 · 229 citations
2290+4+8Years since publication250500750

Peers

Massimo Saini
Comparison fields: 5 of 86
  • Cancer Research 764
  • Oncology 1.0k
  • Immunology 311
  • Biotechnology 109
  • Molecular Biology 712
Replace Ruben Bill with:
Ruben Bill Switzerland
Daniel Bexell Sweden
Robert J. Vanner Canada
Jae‐Seok Roe South Korea
Steven D. Mason United States
Olivera Grbovic-Huezo United States
Jason Matthew Shohet United States
Luca Persano Italy
Elena Rampazzo Italy
Massimo Saini relative to Ruben Bill Switzerland Ruben Bill's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Saini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Massimo Saini Line = papers co-authored together Massimo Saini links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#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 →
2013913
2
The metastatic spread of breast cancer accelerates during sleep
Hit paper breakdown →
2022229
3 2012177
4 2013110
5 201472
6 201770
7 201565
8 201957
9 202156
10 201550
11 201849
12 202520
13 202217
14 202316
15 201813
16 20153
17 20192
18 20252
19 20260

About Massimo Saini

Massimo Saini is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Hematology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), NF-κB Signaling Pathways (2 papers), Immune cells in cancer (2 papers), Single-cell and spatial transcriptomics (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (764 citations), Oncology (1.0k citations), Immunology (311 citations), Biotechnology (109 citations) and Molecular Biology (712 citations). Massimo Saini has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Andreas Trumpp, Andreas Schneeweiß, Markus Wallwiener, Hans‐Peter Sinn, Corinna C. Klein, Tim Holland‐Letz, Wilko Weichert, Martina Scharpff, Albrecht Stenzinger and Vanessa Vogel. Their work appears in journals such as Breast Cancer Research and Treatment, Nature Genetics, Cell stem cell, Cancer Research and Nature 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.

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