Said M. Afify
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Oncology 32
- Cancer Cells and Metastasis 32
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- Pluripotent Stem Cells Research 14
- Epigenetics and DNA Methylation 6
- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Masaharu Seno (39 shared papers)Ghmkin Hassan (32 shared papers)Akimasa Seno (33 shared papers)Maram H. Zahra (26 shared papers)Xiaoying Fu (9 shared papers)Amira Osman (8 shared papers)Juan Du (6 shared papers)Aung Ko Ko Oo (6 shared papers)
In The Last Decade
Said M. Afify
41 papers receiving 749 citations
Peers
Comparison fields: 5 of 88
- Oncology 351
- Cancer Research 150
- Molecular Biology 408
- Genetics 41
- Immunology 84
Countries citing papers authored by Said M. Afify
This map shows the geographic impact of Said M. Afify'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 Said M. Afify with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Said M. Afify more than expected).
Fields of papers citing papers by Said M. Afify
This network shows the impact of papers produced by Said M. Afify. 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 Said M. Afify. The network helps show where Said M. Afify may publish in the future.
Co-authors
The 25 scholars most cited alongside Said M. Afify, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 137 | |
| 2 | 2022 | 74 | |
| 3 | 2021 | 68 | |
| 4 | 2020 | 47 | |
| 5 | 2020 | 46 | |
| 6 | 2019 | 37 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 19 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 14 | |
| 16 | Isolation and characterization of cancer stem cells derived from human glioblastoma. | 2021 | 14 |
| 17 | 2021 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2018 | 11 |
About Said M. Afify
Said M. Afify is a scholar working on Oncology, Molecular Biology, Cancer Research, Biomedical Engineering and Cell Biology, having authored 42 papers that have together received 755 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (32 papers), Pluripotent Stem Cells Research (14 papers), 3D Printing in Biomedical Research (7 papers), Epigenetics and DNA Methylation (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Oncology (351 citations), Cancer Research (150 citations), Molecular Biology (408 citations), Genetics (41 citations) and Immunology (84 citations). Said M. Afify has collaborated with scholars based in Japan, Egypt and Syria. Frequent co-authors include Masaharu Seno, Ghmkin Hassan, Akimasa Seno, Maram H. Zahra, Xiaoying Fu, Amira Osman, Juan Du, Aung Ko Ko Oo, Md. Jahangir Alam and Anna Sanchez Calle. Their work appears in journals such as Cancers, Scientific Reports, American Journal of Cancer Research, International Journal of Molecular Sciences and Advances in experimental medicine and biology.
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.