May Hamza

1.2k citations
30 papers · 939 · h-index 16

Impact in

    • Cannabis and Cannabinoid Research
    • Inflammatory mediators and NSAID effects
    • Musculoskeletal pain and rehabilitation
  • Physiology top 5%
    • Pain Mechanisms and Treatments

Papers in

    • Pain Mechanisms and Treatments 16
    • Inflammatory mediators and NSAID effects 7
    • Cannabis and Cannabinoid Research 4

May Hamza

30 papers receiving 904 citations

Peers

May Hamza
Comparison fields: 5 of 95
  • Pharmacology 366
  • Physiology 427
  • Anesthesiology and Pain Medicine 87
  • Toxicology 53
  • Cellular and Molecular Neuroscience 243
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May Hamza relative to Tomoyuki Kawamata Japan Tomoyuki Kawamata's profile →
Citations per field
00.5×1.7×
Tomoyuki Kawamata · 1×
Citations per year

Countries citing papers authored by May Hamza

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with May Hamza Line = papers co-authored together May Hamza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005158
2 2000156
3 2009108
4 2002108
5 200365
6 200844
7 200631
8 200529
9 200127
10 201427
11 201627
12 201026
13 201624
14 200323
15 201022
16 201517
17 19999
18 20088
19 20097
20 20246

About May Hamza

May Hamza is a scholar working on Physiology, Pharmacology, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 30 papers that have together received 939 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Botulinum Toxin and Related Neurological Disorders (9 papers), Neuropeptides and Animal Physiology (7 papers), Inflammatory mediators and NSAID effects (7 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Cannabis and Cannabinoid Research (4 papers), Anesthesia and Pain Management (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Pharmacology (366 citations), Physiology (427 citations), Anesthesiology and Pain Medicine (87 citations), Toxicology (53 citations) and Cellular and Molecular Neuroscience (243 citations). May Hamza has collaborated with scholars based in Egypt, United States and Germany. Frequent co-authors include Raymond A. Dionne, Mehmet Ateş, Hans Gühring, Kay Brune, Tianxia Wu, Catherine Ledent, William F. Craig, Akshay S. Vakharia, Paul F. White and Carl Noe. Their work appears in journals such as Anesthesia & Analgesia, Journal of Clinical Investigation, European Journal of Pharmacology, Pain and Molecular Pain.

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.

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