Jaclyn Shingara
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 2%
Papers in
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- Molecular Biology Techniques and Applications 2
- RNA Interference and Gene Delivery 2
- RNA modifications and cancer 1
- Advanced biosensing and bioanalysis techniques 1
- RNA regulation and disease 1
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 2
- Co-authors
- David Brown (4 shared papers)Mike Byrom (2 shared papers)Frank J. Slack (2 shared papers)Emmanuel Labourier (5 shared papers)Helge Großhans (1 shared paper)Steven Johnson (1 shared paper)Angie Cheng (1 shared paper)Kristy Reinert (1 shared paper)
- Journals
- RNA (1 paper)Cancer Research (1 paper)Journal of Molecular Diagnostics (1 paper)Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Jaclyn Shingara
6 papers receiving 4.2k citations
Jaclyn Shingara's Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 3.2k
- Aging 108
- Molecular Biology 3.3k
- Oncology 244
- Immunology 176
Countries citing papers authored by Jaclyn Shingara
This map shows the geographic impact of Jaclyn Shingara'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 Jaclyn Shingara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaclyn Shingara more than expected).
Fields of papers citing papers by Jaclyn Shingara
This network shows the impact of papers produced by Jaclyn Shingara. 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 Jaclyn Shingara. The network helps show where Jaclyn Shingara may publish in the future.
Co-authors
The 24 scholars most cited alongside Jaclyn Shingara, 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 | RAS Is Regulated by the let-7 MicroRNA Family Hit paper breakdown → | 2005 | 2955 |
| 2 | The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cells Hit paper breakdown → | 2007 | 1041 |
| 3 | 2005 | 222 | |
| 4 | 2008 | 101 | |
| 5 | MicroRNAs as potential diagnostic markers of disease | 2005 | 4 |
| 6 | Technical Advance Accurate Molecular Characterization of Formalin-Fixed, Paraffin-Embedded Tissues by microRNA Expression Profiling | 2008 | 1 |
About Jaclyn Shingara
Jaclyn Shingara is a scholar working on Molecular Biology, Cancer Research, Aging, Materials Chemistry and Infectious Diseases, having authored 6 papers that have together received 4.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Molecular Biology Techniques and Applications (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Interference and Gene Delivery (2 papers), Genetics, Aging, and Longevity in Model Organisms (1 paper), RNA modifications and cancer (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Cancer Research (3.2k citations), Aging (108 citations), Molecular Biology (3.3k citations), Oncology (244 citations) and Immunology (176 citations). Jaclyn Shingara has collaborated with scholars based in United States. Frequent co-authors include David Brown, Mike Byrom, Frank J. Slack, Emmanuel Labourier, Helge Großhans, Steven Johnson, Angie Cheng, Kristy Reinert, Aurora Esquela‐Kerscher and Dmitriy Ovcharenko. Their work appears in journals such as RNA, Cancer Research, Journal of Molecular Diagnostics and Cell.
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.