Shadi Shams
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
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- Cancer Genomics and Diagnostics 2
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- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- Single-cell and spatial transcriptomics 2
- RNA modifications and cancer 1
- Co-authors
- William James Greenleaf (3 shared papers)Jeffrey M. Granja (3 shared papers)M. Ryan Corces (3 shared papers)Maxwell R. Mumbach (3 shared papers)Bryan H. Louie (3 shared papers)Howard Y. Chang (2 shared papers)Tiffany Y. Eulalio (1 shared paper)Soumya Kundu (1 shared paper)
- Journals
- Science (2 papers)Nature Genetics (2 papers)Journal of Molecular Cell Biology (1 paper)Molecular Biology of the Cell (1 paper)Neurology (1 paper)
- Partner nations
- United States
In The Last Decade
Shadi Shams
10 papers receiving 1.2k citations
Shadi Shams's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 326
- Molecular Biology 832
- Neurology 54
- Immunology 84
- Genetics 112
Countries citing papers authored by Shadi Shams
This map shows the geographic impact of Shadi Shams'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 Shadi Shams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shadi Shams more than expected).
Fields of papers citing papers by Shadi Shams
This network shows the impact of papers produced by Shadi Shams. 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 Shadi Shams. The network helps show where Shadi Shams may publish in the future.
Co-authors
The 25 scholars most cited alongside Shadi Shams, 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 | The chromatin accessibility landscape of primary human cancers Hit paper breakdown → | 2018 | 802 |
| 2 | 2020 | 249 | |
| 3 | 2019 | 69 | |
| 4 | 2024 | 25 | |
| 5 | 2022 | 20 | |
| 6 | 2018 | 11 | |
| 7 | 2025 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2019 | 1 | |
| 10 | 2023 | 1 |
About Shadi Shams
Shadi Shams is a scholar working on Cancer Research, Molecular Biology, Ophthalmology, Genetics and Biomaterials, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Single-cell and spatial transcriptomics (2 papers), RNA modifications and cancer (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Congenital Diaphragmatic Hernia Studies (1 paper). The work is most often cited by research in Cancer Research (326 citations), Molecular Biology (832 citations), Neurology (54 citations), Immunology (84 citations) and Genetics (112 citations). Shadi Shams has collaborated with scholars based in United States. Frequent co-authors include William James Greenleaf, Jeffrey M. Granja, M. Ryan Corces, Maxwell R. Mumbach, Bryan H. Louie, Howard Y. Chang, Tiffany Y. Eulalio, Soumya Kundu, Anshul Kundaje and Anna Shcherbina. Their work appears in journals such as Science, Nature Genetics, Journal of Molecular Cell Biology, Molecular Biology of the Cell and Neurology.
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.