Mohammed Sayed
Impact in
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- MicroRNA in disease regulation
Papers in
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- RNA Research and Splicing 5
- RNA Interference and Gene Delivery 4
- Single-cell and spatial transcriptomics 3
- RNA modifications and cancer 3
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- Telomeres, Telomerase, and Senescence 8
- Co-authors
- Andrew T. Ludlow (8 shared papers)Jerry W. Shay (6 shared papers)Woodring E. Wright (4 shared papers)Jérôme D. Robin (3 shared papers)Anil Kumar (2 shared papers)Mukesh K. Sriwastva (2 shared papers)Jingyao Mu (2 shared papers)Huang‐Ge Zhang (2 shared papers)
- Journals
- iScience (2 papers)Journal of Visualized Experiments (2 papers)Journal of the American Society of Nephrology (1 paper)Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Mohammed Sayed
16 papers receiving 498 citations
Peers
Comparison fields: 5 of 78
- Aging 18
- Cancer Research 134
- Molecular Biology 364
- Physiology 126
- Periodontics 10
Countries citing papers authored by Mohammed Sayed
This map shows the geographic impact of Mohammed Sayed'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 Mohammed Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Sayed more than expected).
Fields of papers citing papers by Mohammed Sayed
This network shows the impact of papers produced by Mohammed Sayed. 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 Mohammed Sayed. The network helps show where Mohammed Sayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed Sayed, 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 | 2019 | 182 | |
| 2 | 2014 | 96 | |
| 3 | 2021 | 68 | |
| 4 | 2018 | 59 | |
| 5 | 2018 | 38 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2018 | 0 |
About Mohammed Sayed
Mohammed Sayed is a scholar working on Molecular Biology, Physiology, Cancer Research, Infectious Diseases and Social Psychology, having authored 18 papers that have together received 501 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), RNA Research and Splicing (5 papers), RNA Interference and Gene Delivery (4 papers), Single-cell and spatial transcriptomics (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Aging (18 citations), Cancer Research (134 citations), Molecular Biology (364 citations), Physiology (126 citations) and Periodontics (10 citations). Mohammed Sayed has collaborated with scholars based in United States, France and China. Frequent co-authors include Andrew T. Ludlow, Jerry W. Shay, Woodring E. Wright, Jérôme D. Robin, Anil Kumar, Mukesh K. Sriwastva, Jingyao Mu, Huang‐Ge Zhang, Kumaran Sundaram and Dawne N. Shelton. Their work appears in journals such as iScience, Journal of Visualized Experiments, Journal of the American Society of Nephrology, Nature Communications and Journal of Biological Chemistry.
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.