Hatem E. Sabaawy
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Developmental Neuroscience top 10%
Papers in
-
- Epigenetics and DNA Methylation 7
- Oncology 10
- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Sharon R. Pine (6 shared papers)Mizuki Azuma (3 shared papers)Dennis D. Hickstein (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)Sahithi Pamarthy (2 shared papers)
- Journals
- Cancer Research (5 papers)Molecular Cancer Therapeutics (3 papers)Cell Transplantation (2 papers)Stem Cells and Development (2 papers)Biology Open (2 papers)
- Partner nations
- United StatesEgyptSouth Korea
In The Last Decade
Hatem E. Sabaawy
44 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Genetics 226
- Developmental Neuroscience 57
- Cancer Research 202
- Cell Biology 220
- Oncology 332
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 146 | |
| 2 | 2006 | 143 | |
| 3 | 2001 | 130 | |
| 4 | 2013 | 123 | |
| 5 | 2001 | 90 | |
| 6 | 2012 | 82 | |
| 7 | 2018 | 76 | |
| 8 | 2020 | 74 | |
| 9 | 2020 | 71 | |
| 10 | 2021 | 60 | |
| 11 | 2015 | 53 | |
| 12 | 2007 | 53 | |
| 13 | 2016 | 49 | |
| 14 | 2021 | 48 | |
| 15 | 2016 | 48 | |
| 16 | 2013 | 40 | |
| 17 | 2020 | 37 | |
| 18 | 2015 | 36 | |
| 19 | 2013 | 33 | |
| 20 | 2016 | 28 |
About Hatem E. Sabaawy
Hatem E. Sabaawy is a scholar working on Molecular Biology, Oncology, Genetics, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Cancer Cells and Metastasis (6 papers), 3D Printing in Biomedical Research (6 papers), Prostate Cancer Treatment and Research (5 papers), Mesenchymal stem cell research (4 papers), interferon and immune responses (3 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Genetics (226 citations), Developmental Neuroscience (57 citations), Cancer Research (202 citations), Cell Biology (220 citations) and Oncology (332 citations). Hatem E. Sabaawy has collaborated with scholars based in United States, Egypt and South Korea. Frequent co-authors include Sharon R. Pine, Mizuki Azuma, Dennis D. Hickstein, Lisa J. Embree, Nader G. Abraham, Monica Bartucci, M. L. Tiku, Sahithi Pamarthy, Huai‐Jen Tsai and Matthew F. Starost. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Cell Transplantation, Stem Cells and Development and Biology Open.
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.