May Hamza
Impact in
- Pharmacology top 2%
- Cannabis and Cannabinoid Research
- Inflammatory mediators and NSAID effects
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
- Physiology 14
- Pain Mechanisms and Treatments 13
- Pharmacology 12
- Inflammatory mediators and NSAID effects 6
- Cannabis and Cannabinoid Research 4
- Co-authors
- Raymond A. Dionne (7 shared papers)Kay Brune (4 shared papers)Mehmet Ateş (4 shared papers)Hans Gühring (4 shared papers)Tianxia Wu (2 shared papers)Catherine Ledent (2 shared papers)Carl Noe (6 shared papers)William F. Craig (7 shared papers)
- Journals
- Anesthesia & Analgesia (6 papers)Molecular Pain (2 papers)Pain (2 papers)Journal of Clinical Investigation (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- EgyptUnited StatesGermany
In The Last Decade
May Hamza
31 papers receiving 934 citations
Peers
Comparison fields: 5 of 92
- Pharmacology 327
- Physiology 381
- Toxicology 51
- Anesthesiology and Pain Medicine 66
- Cellular and Molecular Neuroscience 212
Countries citing papers authored by May Hamza
This map shows the geographic impact of May Hamza'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 May Hamza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Hamza more than expected).
Fields of papers citing papers by May Hamza
This network shows the impact of papers produced by May Hamza. 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 May Hamza. The network helps show where May Hamza may publish in the future.
Co-authors
The 25 scholars most cited alongside May Hamza, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 171 | |
| 2 | 2005 | 167 | |
| 3 | 2009 | 109 | |
| 4 | 2002 | 108 | |
| 5 | 2003 | 68 | |
| 6 | 2008 | 46 | |
| 7 | 2006 | 33 | |
| 8 | 2005 | 30 | |
| 9 | 2016 | 28 | |
| 10 | 2010 | 27 | |
| 11 | 2014 | 27 | |
| 12 | 2001 | 27 | |
| 13 | 2010 | 24 | |
| 14 | 2003 | 24 | |
| 15 | 2016 | 24 | |
| 16 | 2015 | 17 | |
| 17 | 1999 | 11 | |
| 18 | 2008 | 9 | |
| 19 | 2009 | 7 | |
| 20 | 2024 | 7 |
About May Hamza
May Hamza is a scholar working on Physiology, Pharmacology, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 31 papers that have together received 983 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Inflammatory mediators and NSAID effects (6 papers), Neuropeptides and Animal Physiology (5 papers), Cannabis and Cannabinoid Research (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Anesthesia and Pain Management (3 papers) and Myofascial pain diagnosis and treatment (2 papers). The work is most often cited by research in Pharmacology (327 citations), Physiology (381 citations), Toxicology (51 citations), Anesthesiology and Pain Medicine (66 citations) and Cellular and Molecular Neuroscience (212 citations). May Hamza has collaborated with scholars based in Egypt, United States and Germany. Frequent co-authors include Raymond A. Dionne, Kay Brune, Mehmet Ateş, Hans Gühring, Tianxia Wu, Catherine Ledent, Carl Noe, William F. Craig, Noor M. Gajraj and Paul F. White. Their work appears in journals such as Anesthesia & Analgesia, Molecular Pain, Pain, Journal of Clinical Investigation and European Journal of Pharmacology.
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.