Moshe C. Silverstein
Impact in
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- Cancer-related molecular mechanisms research
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in
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- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 1
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- Cardiovascular Health and Disease Prevention 2
- Co-authors
- Avi Ma’ayan (3 shared papers)Alexander Lachmann (2 shared papers)Alexandra Keenan (2 shared papers)Denis Torre (2 shared papers)Kathleen M. Jagodnik (2 shared papers)Lily Wang (1 shared paper)Zichen Wang (2 shared papers)Daniel Clarke (1 shared paper)
- Journals
- Biophysical Chemistry (1 paper)Nature Communications (1 paper)Nucleic Acids Research (1 paper)Journal of the mechanical behavior of biomedical materials (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Moshe C. Silverstein
7 papers receiving 658 citations
Moshe C. Silverstein's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 84
- Molecular Biology 394
- Biophysics 17
- Developmental Neuroscience 11
- Aging 5
Countries citing papers authored by Moshe C. Silverstein
This map shows the geographic impact of Moshe C. Silverstein'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 Moshe C. Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe C. Silverstein more than expected).
Fields of papers citing papers by Moshe C. Silverstein
This network shows the impact of papers produced by Moshe C. Silverstein. 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 Moshe C. Silverstein. The network helps show where Moshe C. Silverstein may publish in the future.
Co-authors
The 17 scholars most cited alongside Moshe C. Silverstein, 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 | Massive mining of publicly available RNA-seq data from human and mouse Hit paper breakdown → | 2018 | 423 |
| 2 | 2018 | 139 | |
| 3 | 2018 | 28 | |
| 4 | 2017 | 28 | |
| 5 | 2013 | 20 | |
| 6 | 2015 | 17 | |
| 7 | 2016 | 5 |
About Moshe C. Silverstein
Moshe C. Silverstein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Biomedical Engineering and Surgery, having authored 7 papers that have together received 660 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Elasticity and Material Modeling (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Connective tissue disorders research (2 papers), Hernia repair and management (1 paper), Genomics and Phylogenetic Studies (1 paper), Silk-based biomaterials and applications (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Cancer Research (84 citations), Molecular Biology (394 citations), Biophysics (17 citations), Developmental Neuroscience (11 citations) and Aging (5 citations). Moshe C. Silverstein has collaborated with scholars based in United States and Japan. Frequent co-authors include Avi Ma’ayan, Alexander Lachmann, Alexandra Keenan, Denis Torre, Kathleen M. Jagodnik, Lily Wang, Zichen Wang, Daniel Clarke, Mary E. Duffy and Maxim V. Kuleshov. Their work appears in journals such as Biophysical Chemistry, Nature Communications, Nucleic Acids Research, Journal of the mechanical behavior of biomedical materials and Biophysical Journal.
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.