Nagy Mekhail
- Pharmacology top 0.2%
- Pathology and Forensic Medicine top 0.2%
- Anesthesiology and Pain Medicine top 0.05%
- Surgery top 1%
- Physiology top 1%
- Co-authors
- Leonardo KapuralMaarten van KleefSamer NarouzeJan Van ZundertArno LatasterSalim M. HayekTimothy R. DeerJianguo Cheng
- Topics
- Musculoskeletal pain and rehabilitation (74 papers)Spine and Intervertebral Disc Pathology (60 papers)Pain Management and Treatment (58 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Nagy Mekhail
165 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 121
- Pharmacology 2.2k
- Pathology and Forensic Medicine 2.2k
- Anesthesiology and Pain Medicine 2.1k
- Surgery 2.0k
- Physiology 1.4k
Countries citing papers authored by Nagy Mekhail
This map shows the geographic impact of Nagy Mekhail'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 Nagy Mekhail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagy Mekhail more than expected).
Fields of papers citing papers by Nagy Mekhail
This network shows the impact of papers produced by Nagy Mekhail. 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 Nagy Mekhail. The network helps show where Nagy Mekhail may publish in the future.
Co-authorship network of co-authors of Nagy Mekhail
This figure shows the co-authorship network connecting the top 25 collaborators of Nagy Mekhail. A scholar is included among the top collaborators of Nagy Mekhail based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nagy Mekhail. Nagy Mekhail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 38 | |
| 9 | 199 | |
| 10 | 5 | |
| 11 | 215 | |
| 12 | 78 | |
| 13 | Continuous cervical epidural analgesia for rehabilitation after shoulder surgery: a retrospective evaluation. | 10 |
| 14 | 84 | |
| 15 | 33 | |
| 16 | 16 | |
| 17 | 10 | |
| 18 | Spinal cord stimulation for intractable vulvar pain. A case report. | 17 |
| 19 | 67 | |
| 20 | 3 |
About Nagy Mekhail
Nagy Mekhail is a scholar working on Anesthesiology and Pain Medicine, Pharmacology and Pathology and Forensic Medicine, having authored 171 papers that have together received 5.4k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (74 papers), Spine and Intervertebral Disc Pathology (60 papers) and Pain Management and Treatment (58 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (2.1k citations), Pharmacology (2.2k citations) and Pathology and Forensic Medicine (2.2k citations). Nagy Mekhail has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Leonardo Kapural, Maarten van Kleef, Samer Narouze, Jan Van Zundert, Arno Lataster, Salim M. Hayek, Timothy R. Deer, Jianguo Cheng, Jacob Patijn and Shrif Costandi. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and Neurology.
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.