Matthew Ruffalo
Impact in
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- Cancer Genomics and Diagnostics
Papers in
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- Single-cell and spatial transcriptomics 5
- Bioinformatics and Genomic Networks 4
- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 2
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- MicroRNA in disease regulation 2
- Co-authors
- Mehmet Koyutürk (4 shared papers)Thomas LaFramboise (3 shared papers)Ziv Bar‐Joseph (9 shared papers)Roded Sharan (1 shared paper)Amir Alavi (1 shared paper)Zhilin Huang (1 shared paper)Soumya Ray (1 shared paper)Qi Song (1 shared paper)
- Journals
- Bioinformatics (4 papers)PLoS Computational Biology (3 papers)Nature Communications (1 paper)BMC Cancer (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Matthew Ruffalo
14 papers receiving 333 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 62
- Biophysics 22
- Molecular Biology 236
- Genetics 64
- Information Systems and Management 7
Countries citing papers authored by Matthew Ruffalo
This map shows the geographic impact of Matthew Ruffalo'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 Matthew Ruffalo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ruffalo more than expected).
Fields of papers citing papers by Matthew Ruffalo
This network shows the impact of papers produced by Matthew Ruffalo. 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 Matthew Ruffalo. The network helps show where Matthew Ruffalo may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Ruffalo, 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 | 2011 | 154 | |
| 2 | 2015 | 52 | |
| 3 | 2018 | 38 | |
| 4 | 2012 | 24 | |
| 5 | 2018 | 10 | |
| 6 | 2023 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2016 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2012 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Matthew Ruffalo
Matthew Ruffalo is a scholar working on Molecular Biology, Cancer Research, Biophysics, Artificial Intelligence and Hematology, having authored 17 papers that have together received 340 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers), Cell Image Analysis Techniques (3 papers), Acute Myeloid Leukemia Research (2 papers), Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (62 citations), Biophysics (22 citations), Molecular Biology (236 citations), Genetics (64 citations) and Information Systems and Management (7 citations). Matthew Ruffalo has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Mehmet Koyutürk, Thomas LaFramboise, Ziv Bar‐Joseph, Roded Sharan, Amir Alavi, Zhilin Huang, Soumya Ray, Qi Song, Nikos Xylourgidis and Jaroslaw P. Maciejewski. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Nature Communications, BMC Cancer and BMC Systems Biology.
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.