Hatem E. Sabaawy
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 7
- Oncology 12
- Cancer Cells and Metastasis 7
- Co-authors
- Sharon R. Pine (6 shared papers)Dennis D. Hickstein (3 shared papers)Mizuki Azuma (3 shared papers)Lisa J. Embree (3 shared papers)Nader G. Abraham (3 shared papers)Monica Bartucci (6 shared papers)M. L. Tiku (1 shared paper)Matthew F. Starost (2 shared papers)
- Journals
- Cancer Research (5 papers)Molecular Cancer Therapeutics (3 papers)Stem Cells and Development (2 papers)Biology Open (2 papers)Cell Transplantation (2 papers)
- Partner nations
- United StatesEgyptSouth Korea
In The Last Decade
Hatem E. Sabaawy
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Genetics 266
- Cancer Research 228
- Developmental Neuroscience 61
- Cell Biology 225
- Oncology 356
Countries citing papers authored by Hatem E. Sabaawy
This map shows the geographic impact of Hatem E. Sabaawy'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 Hatem E. Sabaawy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatem E. Sabaawy more than expected).
Fields of papers citing papers by Hatem E. Sabaawy
This network shows the impact of papers produced by Hatem E. Sabaawy. 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 Hatem E. Sabaawy. The network helps show where Hatem E. Sabaawy may publish in the future.
Co-authors
The 25 scholars most cited alongside Hatem E. Sabaawy, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 146 | |
| 2 | 2006 | 143 | |
| 3 | 2001 | 129 | |
| 4 | 2013 | 121 | |
| 5 | 2001 | 90 | |
| 6 | 2012 | 82 | |
| 7 | 2018 | 75 | |
| 8 | 2020 | 73 | |
| 9 | 2020 | 64 | |
| 10 | 2021 | 56 | |
| 11 | 2007 | 53 | |
| 12 | 2015 | 52 | |
| 13 | 2016 | 49 | |
| 14 | 2016 | 48 | |
| 15 | 2021 | 43 | |
| 16 | 2013 | 40 | |
| 17 | 2020 | 37 | |
| 18 | 2015 | 35 | |
| 19 | 2013 | 33 | |
| 20 | 2016 | 28 |
About Hatem E. Sabaawy
Hatem E. Sabaawy is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Cell Biology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Prostate Cancer Treatment and Research (7 papers), Epigenetics and DNA Methylation (7 papers), 3D Printing in Biomedical Research (6 papers), Mesenchymal stem cell research (4 papers), Immunotherapy and Immune Responses (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Genetics (266 citations), Cancer Research (228 citations), Developmental Neuroscience (61 citations), Cell Biology (225 citations) and Oncology (356 citations). Hatem E. Sabaawy has collaborated with scholars based in United States, Egypt and South Korea. Frequent co-authors include Sharon R. Pine, Dennis D. Hickstein, Mizuki Azuma, Lisa J. Embree, Nader G. Abraham, Monica Bartucci, M. L. Tiku, Matthew F. Starost, Huai‐Jen Tsai and Michele Patrizii. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Stem Cells and Development, Biology Open and Cell Transplantation.
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.