Mohamed Hammad
Impact in
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- MicroRNA in disease regulation
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- Virus-based gene therapy research
- Mesenchymal stem cell research
Papers in
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- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 2
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- Karen S. Aboody (10 shared papers)Mohamed S. Abdel‐Bakky (5 shared papers)Larry Walker (5 shared papers)Rachael Mooney (7 shared papers)Mohammad Ashfaq (4 shared papers)Linda Flores (5 shared papers)Thanh H. Dellinger (5 shared papers)Marcin Kortylewski (2 shared papers)
- Journals
- Molecular Therapy — Oncolytics (3 papers)Stem Cell Research & Therapy (2 papers)Archives of Toxicology (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Bioconjugate Chemistry (1 paper)
- Partner nations
- United StatesEgyptSaudi Arabia
In The Last Decade
Mohamed Hammad
28 papers receiving 433 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 69
- Genetics 49
- Oncology 83
- Molecular Biology 195
- Genetics 73
Countries citing papers authored by Mohamed Hammad
This map shows the geographic impact of Mohamed Hammad'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 Mohamed Hammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hammad more than expected).
Fields of papers citing papers by Mohamed Hammad
This network shows the impact of papers produced by Mohamed Hammad. 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 Mohamed Hammad. The network helps show where Mohamed Hammad may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohamed Hammad, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 67 | |
| 2 | 2018 | 53 | |
| 3 | 2018 | 38 | |
| 4 | 2019 | 35 | |
| 5 | 2021 | 27 | |
| 6 | 2011 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2012 | 19 | |
| 10 | 2011 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2014 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2018 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2011 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2020 | 6 |
About Mohamed Hammad
Mohamed Hammad is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Hematology and Immunology, having authored 29 papers that have together received 437 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Animal Virus Infections Studies (4 papers), Liver physiology and pathology (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Immunotherapy and Immune Responses (2 papers), Pluripotent Stem Cells Research (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Cancer Research (69 citations), Genetics (49 citations), Oncology (83 citations), Molecular Biology (195 citations) and Genetics (73 citations). Mohamed Hammad has collaborated with scholars based in United States, Egypt and Saudi Arabia. Frequent co-authors include Karen S. Aboody, Mohamed S. Abdel‐Bakky, Larry Walker, Rachael Mooney, Mohammad Ashfaq, Linda Flores, Thanh H. Dellinger, Marcin Kortylewski, Abdullah Alawad and Khaled M. Darwish. Their work appears in journals such as Molecular Therapy — Oncolytics, Stem Cell Research & Therapy, Archives of Toxicology, Molecular Therapy — Nucleic Acids and Bioconjugate 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.