Nada A. Ashour

905 total citations · 2 hit papers
8 papers, 467 citations indexed

About

Nada A. Ashour is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nada A. Ashour has authored 8 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nada A. Ashour's work include Diabetes and associated disorders (2 papers), COVID-19 Clinical Research Studies (2 papers) and Advanced Breast Cancer Therapies (1 paper). Nada A. Ashour is often cited by papers focused on Diabetes and associated disorders (2 papers), COVID-19 Clinical Research Studies (2 papers) and Advanced Breast Cancer Therapies (1 paper). Nada A. Ashour collaborates with scholars based in Egypt, Saudi Arabia and Iraq. Nada A. Ashour's co-authors include Ahmed A. Al‐Karmalawy, Samar A. Antar, Eun Joo Roh, Marwa Sharaky, Ahmed Elkamhawy, Muhammad Khattab, Walaa A. Negm, Ali I. Al‐Gareeb, Hayder M. Al‐kuraishy and Gaber El‐Saber Batiha and has published in prestigious journals such as International Journal of Molecular Sciences, RSC Advances and Biomedicine & Pharmacotherapy.

In The Last Decade

Nada A. Ashour

7 papers receiving 455 citations

Hit Papers

Diabetes mellitus: Classification, mediators, and complic... 2023 2026 2024 2025 2023 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nada A. Ashour Egypt 5 129 101 56 54 50 8 467
Mahmoud El‐Daly Egypt 15 177 1.4× 113 1.1× 70 1.3× 73 1.4× 47 0.9× 40 601
Waseem El‐Huneidi United Arab Emirates 15 257 2.0× 64 0.6× 73 1.3× 52 1.0× 39 0.8× 61 653
Jing He China 13 159 1.2× 80 0.8× 51 0.9× 39 0.7× 32 0.6× 47 568
Tarek M. Ali Egypt 17 161 1.2× 118 1.2× 45 0.8× 48 0.9× 49 1.0× 38 607
Xiaoou Shan China 17 304 2.4× 65 0.6× 56 1.0× 57 1.1× 101 2.0× 61 874
Ting Jiang China 13 271 2.1× 76 0.8× 112 2.0× 45 0.8× 94 1.9× 30 673
Haoran Wu China 13 248 1.9× 92 0.9× 53 0.9× 64 1.2× 63 1.3× 45 538
Atul Rawat India 16 341 2.6× 88 0.9× 50 0.9× 71 1.3× 93 1.9× 33 767
Noha A. El-Boghdady Egypt 16 224 1.7× 45 0.4× 46 0.8× 50 0.9× 39 0.8× 31 591
Ramakrishnan Veerabathiran India 10 126 1.0× 42 0.4× 43 0.8× 35 0.6× 73 1.5× 82 436

Countries citing papers authored by Nada A. Ashour

Since Specialization
Citations

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

Fields of papers citing papers by Nada A. Ashour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nada A. Ashour. 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 Nada A. Ashour. The network helps show where Nada A. Ashour may publish in the future.

Co-authorship network of co-authors of Nada A. Ashour

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

All Works

8 of 8 papers shown
1.
El‐Dessouki, Ahmed M., et al.. (2025). Targeting AMPK with ivabradine attenuates cyclophosphamide-induced hepatotoxicity: Crosstalk with MAPK, JAK1/STAT3, and PI3K/Akt pathways. Naunyn-Schmiedeberg s Archives of Pharmacology. 399(1). 207–224.
2.
Saleh, Asmaa, et al.. (2025). Exploring drug-induced liver injury: comprehensive insights into mechanisms and management of hepatotoxic agents. Future Journal of Pharmaceutical Sciences. 11(1). 1 indexed citations
3.
Al‐Karmalawy, Ahmed A., et al.. (2025). Medicinal chemistry perspectives on anticancer drug design based on clinical applications (2015–2025). RSC Advances. 15(43). 36441–36471. 1 indexed citations
4.
Antar, Samar A., et al.. (2023). Fibrosis: Types, Effects, Markers, Mechanisms for Disease Progression, and Its Relation with Oxidative Stress, Immunity, and Inflammation. International Journal of Molecular Sciences. 24(4). 4004–4004. 167 indexed citations breakdown →
5.
Batiha, Gaber El‐Saber, Hayder M. Al‐kuraishy, Ali I. Al‐Gareeb, Nada A. Ashour, & Walaa A. Negm. (2023). Potential role of tirzepatide towards Covid-19 infection in diabetic patients: a perspective approach. Inflammopharmacology. 31(4). 1683–1693. 8 indexed citations
6.
Antar, Samar A., Nada A. Ashour, Marwa Sharaky, et al.. (2023). Diabetes mellitus: Classification, mediators, and complications; A gate to identify potential targets for the development of new effective treatments. Biomedicine & Pharmacotherapy. 168. 115734–115734. 214 indexed citations breakdown →
7.
Alrouji, Mohammed, Hayder M. Al‐kuraishy, Ali I. Al‐Gareeb, et al.. (2023). Metformin role in Parkinson’s disease: a double-sword effect. Molecular and Cellular Biochemistry. 479(4). 975–991. 48 indexed citations
8.
Ashour, Nada A., et al.. (2021). The journey of antimalarial drugs against SARS-CoV-2: Review article. Informatics in Medicine Unlocked. 24. 100604–100604. 28 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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