S. Rivera
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- RNA modifications and cancer
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- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
Papers in
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- Cancer-related molecular mechanisms research 2
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- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- Protein Degradation and Inhibitors 1
- RNA modifications and cancer 1
- Co-authors
- M. Jordan Rowley (2 shared papers)Victor G. Corces (2 shared papers)Masami Ando‐Kuri (2 shared papers)Karen E. Hermetz (1 shared paper)Yijun Ruan (1 shared paper)Michael H. Nichols (1 shared paper)Xiaowen Lyu (1 shared paper)Ping Wang (1 shared paper)
- Journals
- Cell Reports (2 papers)Radiotherapy and Oncology (1 paper)PLoS Genetics (1 paper)Nucleic Acids Research (1 paper)Molecular Cell (1 paper)
- Partner nations
- AustraliaUnited StatesIreland
In The Last Decade
S. Rivera
8 papers receiving 386 citations
S. Rivera's Hit Papers
Peers
Comparison fields: 5 of 29
- Molecular Biology 361
- Plant Science 165
- Genetics 38
- Cancer Research 16
- Aging 1
Countries citing papers authored by S. Rivera
This map shows the geographic impact of S. Rivera'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 S. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Rivera more than expected).
Fields of papers citing papers by S. Rivera
This network shows the impact of papers produced by S. Rivera. 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 S. Rivera. The network helps show where S. Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Rivera, 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 | Evolutionarily Conserved Principles Predict 3D Chromatin Organization Hit paper breakdown → | 2017 | 372 |
| 2 | 2023 | 7 | |
| 3 | 2025 | 2 | |
| 4 | 2018 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2015 | 1 | |
| 8 | 2024 | 1 |
About S. Rivera
S. Rivera is a scholar working on Cancer Research, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology, having authored 8 papers that have together received 387 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (2 papers), Mycobacterium research and diagnosis (1 paper), Protein Degradation and Inhibitors (1 paper), RNA modifications and cancer (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (361 citations), Plant Science (165 citations), Genetics (38 citations), Cancer Research (16 citations) and Aging (1 citation). S. Rivera has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include M. Jordan Rowley, Victor G. Corces, Masami Ando‐Kuri, Karen E. Hermetz, Yijun Ruan, Michael H. Nichols, Xiaowen Lyu, Ping Wang, Wei Shi and Kaltin Ferguson. Their work appears in journals such as Cell Reports, Radiotherapy and Oncology, PLoS Genetics, Nucleic Acids Research and Molecular 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.