Mohammed E. Sayed
Impact in
- Drug Discovery top 1%
- Pharmacology and Nanomedicine Research
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Gut microbiota and health
- RNA Research and Splicing
Papers in
-
- Telomeres, Telomerase, and Senescence 7
-
- RNA Research and Splicing 3
- Extracellular vesicles in disease 2
- Renal and related cancers 2
- RNA and protein synthesis mechanisms 1
- Single-cell and spatial transcriptomics 1
- Gut microbiota and health 1
- Co-authors
- Andrew T. Ludlow (8 shared papers)Jerry W. Shay (4 shared papers)Woodring Erik Wright (4 shared papers)Jérôme D. Robin (3 shared papers)Kumaran Sundaram (2 shared papers)Jingyao Mu (2 shared papers)Liqing He (2 shared papers)Huang‐Ge Zhang (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)iScience (2 papers)Behavioural Brain Research (1 paper)Briefings in Functional Genomics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Mohammed E. Sayed
17 papers receiving 1.6k citations
Mohammed E. Sayed's Hit Papers
Peers
Comparison fields: 5 of 88
- Drug Discovery 31
- Molecular Biology 1.1k
- Biomaterials 122
- Cancer Research 113
- Pharmaceutical Science 42
Countries citing papers authored by Mohammed E. Sayed
This map shows the geographic impact of Mohammed E. 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 E. 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 E. Sayed more than expected).
Fields of papers citing papers by Mohammed E. Sayed
This network shows the impact of papers produced by Mohammed E. 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 E. Sayed. The network helps show where Mohammed E. Sayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed E. 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 | Plant-Derived Exosomal MicroRNAs Shape the Gut Microbiota Hit paper breakdown → | 2018 | 837 |
| 2 | 2021 | 234 | |
| 3 | 2019 | 194 | |
| 4 | 2014 | 100 | |
| 5 | 2021 | 74 | |
| 6 | 2018 | 63 | |
| 7 | 2018 | 40 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2018 | 0 | |
| 19 | 2026 | 0 | |
| 20 | 2026 | 0 |
About Mohammed E. Sayed
Mohammed E. Sayed is a scholar working on Physiology, Molecular Biology, Periodontics, Cancer Research and Cell Biology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (2 papers), Renal and related cancers (2 papers), RNA and protein synthesis mechanisms (1 paper), MicroRNA in disease regulation (1 paper), Single-cell and spatial transcriptomics (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Drug Discovery (31 citations), Molecular Biology (1.1k citations), Biomaterials (122 citations), Cancer Research (113 citations) and Pharmaceutical Science (42 citations). Mohammed E. Sayed has collaborated with scholars based in United States, France and China. Frequent co-authors include Andrew T. Ludlow, Jerry W. Shay, Woodring Erik Wright, Jérôme D. Robin, Kumaran Sundaram, Jingyao Mu, Liqing He, Huang‐Ge Zhang, Xiang Zhang and Shuangqin Zhang. Their work appears in journals such as Journal of Visualized Experiments, iScience, Behavioural Brain Research, Briefings in Functional Genomics and BMC Bioinformatics.
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.