Simone G. Riva
Impact in
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- Hematopoietic Stem Cell Transplantation
Papers in
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- Single-cell and spatial transcriptomics 10
- Gene expression and cancer classification 5
- Gene Regulatory Network Analysis 4
- Genomics and Chromatin Dynamics 3
- Protein Degradation and Inhibitors 1
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- Reservoir Engineering and Simulation Methods 2
- Drilling and Well Engineering 1
- Co-authors
- Ana Cvejic (2 shared papers)Andrea Tangherloni (8 shared papers)Brynelle Myers (5 shared papers)Elisa Panada (1 shared paper)Anna Maria Ranzoni (1 shared paper)Irina Mohorianu (1 shared paper)Paulina M. Strzelecka (1 shared paper)Ivan Berest (1 shared paper)
- Journals
- Cell stem cell (2 papers)BMC Bioinformatics (1 paper)Journal of Biomedical Informatics (1 paper)Symmetry (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Simone G. Riva
13 papers receiving 264 citations
Peers
Comparison fields: 5 of 50
- Hematology 35
- Biophysics 18
- Immunology 58
- Molecular Biology 182
- Cancer Research 37
Countries citing papers authored by Simone G. Riva
This map shows the geographic impact of Simone G. Riva'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 Simone G. Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone G. Riva more than expected).
Fields of papers citing papers by Simone G. Riva
This network shows the impact of papers produced by Simone G. Riva. 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 Simone G. Riva. The network helps show where Simone G. Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone G. Riva, 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 | 2020 | 203 | |
| 2 | 2022 | 17 | |
| 3 | 2025 | 8 | |
| 4 | 2020 | 8 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2008 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 |
About Simone G. Riva
Simone G. Riva is a scholar working on Molecular Biology, Ocean Engineering, Cancer Research, Computational Theory and Mathematics and Plant Science, having authored 18 papers that have together received 271 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Gene expression and cancer classification (5 papers), Gene Regulatory Network Analysis (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Drilling and Well Engineering (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (35 citations), Biophysics (18 citations), Immunology (58 citations), Molecular Biology (182 citations) and Cancer Research (37 citations). Simone G. Riva has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Ana Cvejic, Andrea Tangherloni, Brynelle Myers, Elisa Panada, Anna Maria Ranzoni, Irina Mohorianu, Paulina M. Strzelecka, Ivan Berest, Judith B. Zaugg and Paolo Cazzaniga. Their work appears in journals such as Cell stem cell, BMC Bioinformatics, Journal of Biomedical Informatics, Symmetry and Journal of Visualized Experiments.
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.