Nehal M. Elsherbiny

4.2k total citations
114 papers, 3.2k citations indexed

About

Nehal M. Elsherbiny is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Nehal M. Elsherbiny has authored 114 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Pharmacology and 12 papers in Physiology. Recurrent topics in Nehal M. Elsherbiny's work include Adenosine and Purinergic Signaling (12 papers), Neurological Complications and Syndromes (9 papers) and Retinal Diseases and Treatments (8 papers). Nehal M. Elsherbiny is often cited by papers focused on Adenosine and Purinergic Signaling (12 papers), Neurological Complications and Syndromes (9 papers) and Retinal Diseases and Treatments (8 papers). Nehal M. Elsherbiny collaborates with scholars based in Egypt, Saudi Arabia and United States. Nehal M. Elsherbiny's co-authors include Mohamed El‐Sherbiny, Mohammed M.H. Al-Gayyar, Eman Said, Laila A. Eissa, Sawsan A. Zaitone, Mohamed Al‐Shabrawey, Amany Tawfik, Mamdouh M. El‐Shishtawy, Gregory I. Liou and Yara A. Samra and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Nehal M. Elsherbiny

108 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nehal M. Elsherbiny Egypt 36 1.2k 331 304 275 271 114 3.2k
Mohammed M.H. Al-Gayyar Egypt 32 879 0.8× 188 0.6× 197 0.6× 335 1.2× 303 1.1× 94 2.4k
Tao Su China 35 1.7k 1.5× 236 0.7× 272 0.9× 317 1.2× 88 0.3× 125 3.6k
Lingpeng Zhu China 27 1.4k 1.2× 328 1.0× 171 0.6× 141 0.5× 88 0.3× 46 2.5k
Yonggang Wang China 38 2.1k 1.8× 211 0.6× 297 1.0× 312 1.1× 99 0.4× 192 4.6k
Fang Huang China 28 1.2k 1.0× 280 0.8× 383 1.3× 99 0.4× 72 0.3× 98 2.6k
Po‐Len Liu Taiwan 31 1.4k 1.2× 285 0.9× 210 0.7× 148 0.5× 52 0.2× 79 2.8k
Sen Zhang China 29 1.4k 1.2× 112 0.3× 323 1.1× 162 0.6× 201 0.7× 168 2.8k
Meng‐Yu Wu Taiwan 18 842 0.7× 92 0.3× 334 1.1× 276 1.0× 118 0.4× 112 2.6k
Xian Zhang China 33 1.2k 1.1× 209 0.6× 518 1.7× 233 0.8× 63 0.2× 146 3.7k
Kota V. Ramana United States 45 2.7k 2.3× 170 0.5× 274 0.9× 385 1.4× 411 1.5× 140 5.6k

Countries citing papers authored by Nehal M. Elsherbiny

Since Specialization
Citations

This map shows the geographic impact of Nehal M. Elsherbiny'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 Nehal M. Elsherbiny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nehal M. Elsherbiny more than expected).

Fields of papers citing papers by Nehal M. Elsherbiny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nehal M. Elsherbiny. 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 Nehal M. Elsherbiny. The network helps show where Nehal M. Elsherbiny may publish in the future.

Co-authorship network of co-authors of Nehal M. Elsherbiny

This figure shows the co-authorship network connecting the top 25 collaborators of Nehal M. Elsherbiny. A scholar is included among the top collaborators of Nehal M. Elsherbiny 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 Nehal M. Elsherbiny. Nehal M. Elsherbiny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qushawy, Mona, et al.. (2025). Optimized Nanostructured Lipid Carriers for Metformin: Enhanced Anti-Inflammatory Activity and Protection Against Type 2 Diabetes-Induced Organ Damage. International Journal of Nanomedicine. Volume 20. 3765–3788. 2 indexed citations
2.
Ahmed, Rehab, et al.. (2025). CRISPR/Cas9 System as a Promising Therapy in Thalassemia and Sickle Cell Disease: A Systematic Review of Clinical Trials. Molecular Biotechnology. 68(1). 23–32. 2 indexed citations
3.
Soliman, Ghareb M., Mona Qushawy, Mona F. Arafa, et al.. (2025). Development and evaluation of fusidic acid myrrh oil organogel for the reversal of Gram-negative bacterial resistance and improvement of wound-healing potential. Journal of Drug Delivery Science and Technology. 112. 107247–107247. 1 indexed citations
4.
5.
Khodeer, Dina M., Mona Qushawy, Reem Alshaman, et al.. (2024). Formulation and characterization of cholesterol-based nanoparticles of gabapentin protecting from retinal injury. Frontiers in Chemistry. 12. 1449380–1449380. 2 indexed citations
6.
Qushawy, Mona, et al.. (2023). Development, optimization, and assessment of losartan nano-bilosomes to mitigate diabetes-induced microvascular complications in Sprague Dawley rats. Journal of Drug Delivery Science and Technology. 92. 105295–105295. 9 indexed citations
7.
8.
Elsherbiny, Nehal M., et al.. (2023). The Possible Mechanisms of Cu and Zn in the Treatment and Prevention of HIV and COVID-19 Viral Infection. Biological Trace Element Research. 202(4). 1524–1538. 9 indexed citations
9.
Salem, Hoda A., Karema Abu‐Elfotuh, Nehal M. Elsherbiny, et al.. (2023). Punicalagin’s Protective Effects on Parkinson’s Progression in Socially Isolated and Socialized Rats: Insights into Multifaceted Pathway. Pharmaceutics. 15(10). 2420–2420. 6 indexed citations
10.
Alsamman, Alsamman M., et al.. (2022). Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis. International Journal of Environmental Research and Public Health. 19(21). 13890–13890. 12 indexed citations
11.
Elsaed, Wael M., Mohamed Ahmed Eladl, Mohamed El‐Sherbiny, et al.. (2022). Curcumin Modulates Oxidative Stress, Fibrosis, and Apoptosis in Drug-Resistant Cancer Cell Lines. Life. 12(9). 1427–1427. 35 indexed citations
12.
13.
Elsherbiny, Nehal M., et al.. (2021). Exosomes: Isolation, characterization, and biomedical applications. Cell Biology International. 45(9). 1807–1831. 111 indexed citations
14.
Al‐Shabrawey, Mohamed, Khaled A. Hussein, Fang Wang, et al.. (2021). Bone Morphogenetic Protein-2 Induces Non-Canonical Inflammatory and Oxidative Pathways in Human Retinal Endothelial Cells. Frontiers in Immunology. 11. 568795–568795. 13 indexed citations
15.
Tawfik, Amany, Riyaz Mohamed, Nehal M. Elsherbiny, et al.. (2019). Homocysteine: A Potential Biomarker for Diabetic Retinopathy. Journal of Clinical Medicine. 8(1). 121–121. 61 indexed citations
16.
Zaghloul, Randa A., Nehal M. Elsherbiny, Hany I. Kenawy, et al.. (2017). Hepatoprotective effect of hesperidin in hepatocellular carcinoma: Involvement of Wnt signaling pathways. Life Sciences. 185. 114–125. 45 indexed citations
17.
Elsherbiny, Nehal M., et al.. (2016). Protective effects of L-carnosine on CCl4 -induced hepatic injury in rats. European Cytokine Network. 27(1). 6–15. 42 indexed citations
18.
Elsherbiny, Nehal M., et al.. (2013). Evaluation of renal protective effects of inhibiting TGF-β type I receptor in a cisplatin-induced nephrotoxicity model. European Cytokine Network. 24(4). 139–147. 31 indexed citations
19.
Al-Gayyar, Mohammed M.H. & Nehal M. Elsherbiny. (2013). Contribution of TNF-α to the development of retinal neurodegenerative disorders. European Cytokine Network. 24(1). 27–36. 44 indexed citations
20.
Elsherbiny, Nehal M., Khaled H. Abd El Galil, Mahmoud M. Gabr, et al.. (2012). Reno-protective effect of NECA in diabetic nephropathy: implication of IL-18 and ICAM-1. European Cytokine Network. 23(3). 78–86. 23 indexed citations

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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