Iqra Ali

453 total citations
23 papers, 322 citations indexed

About

Iqra Ali is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Iqra Ali has authored 23 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Organic Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in Iqra Ali's work include Synthesis and biological activity (6 papers), Computational Drug Discovery Methods (6 papers) and Cancer therapeutics and mechanisms (6 papers). Iqra Ali is often cited by papers focused on Synthesis and biological activity (6 papers), Computational Drug Discovery Methods (6 papers) and Cancer therapeutics and mechanisms (6 papers). Iqra Ali collaborates with scholars based in Pakistan, China and India. Iqra Ali's co-authors include Muhammad Nasir Iqbal, Muhammad Asif Rasheed, Ronald Labonté, Anne Marie Thow, Corinna Hawkes, Alexandra Jones, Muhammad Ibrahim, Deepak Kumar, Sunil Kumar and Falak Sher Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Iqra Ali

18 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iqra Ali Pakistan 9 103 71 71 49 48 23 322
İmren Bayıl Türkiye 10 104 1.0× 77 1.1× 90 1.3× 29 0.6× 24 260
Njogu M. Kimani Kenya 10 129 1.3× 58 0.8× 72 1.0× 31 0.6× 35 311
Matheus Nunes da Rocha Brazil 10 99 1.0× 99 1.4× 61 0.9× 22 0.4× 54 280
Frederico Fávaro Ribeiro Brazil 9 84 0.8× 109 1.5× 54 0.8× 91 1.9× 19 273
Harold Hilarion Fokoue Brazil 9 131 1.3× 62 0.9× 75 1.1× 31 0.6× 17 339
Arooma Maryam Pakistan 9 171 1.7× 50 0.7× 88 1.2× 36 0.7× 22 295
Jerome P. L. Ng Macao 11 117 1.1× 97 1.4× 54 0.8× 23 0.5× 28 324
Areej Abuhammad Jordan 14 250 2.4× 60 0.8× 63 0.9× 5 0.1× 3 0.1× 26 483
Asma Abro Pakistan 11 163 1.6× 61 0.9× 117 1.6× 26 0.5× 17 336
Supriyo Saha India 13 155 1.5× 141 2.0× 81 1.1× 23 0.5× 52 378

Countries citing papers authored by Iqra Ali

Since Specialization
Citations

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

Fields of papers citing papers by Iqra Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iqra Ali. 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 Iqra Ali. The network helps show where Iqra Ali may publish in the future.

Co-authorship network of co-authors of Iqra Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Iqra Ali. A scholar is included among the top collaborators of Iqra Ali 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 Iqra Ali. Iqra Ali 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
2.
Ali, Iqra, et al.. (2025). Personalized Gym Recommendation System Using Machine Learning. International Journal of Engineering Trends and Technology. 73(4). 249–257. 1 indexed citations
5.
Ali, Iqra, Ihtisham Ul Haq, Muhammad Nasir Iqbal, et al.. (2024). Computational exploration and molecular dynamic simulation for the discovery of antiviral agents targeting Newcastle disease virus. Microbial Pathogenesis. 196. 106884–106884. 1 indexed citations
7.
Kumar, Sunil, Faheem Abbas, Iqra Ali, et al.. (2023). Integrated network pharmacology and in-silico approaches to decipher the pharmacological mechanism of Selaginella tamariscina in the treatment of non-small cell lung cancer. Phytomedicine Plus. 3(2). 100419–100419. 28 indexed citations
8.
Ali, Iqra, Muhammad Nasir Iqbal, Muhammad Ibrahim, et al.. (2023). Computational exploration of novel ROCK2 inhibitors for cardiovascular disease management; insights from high-throughput virtual screening, molecular docking, DFT and MD simulation. PLoS ONE. 18(11). e0294511–e0294511. 10 indexed citations
10.
Ullah, Shahid, Farhan Ullah, Riffat Jehan, et al.. (2023). Identification of lead compound screened from the natural products atlas to treat renal inflammasomes using molecular docking and dynamics simulation. Journal of Biomolecular Structure and Dynamics. 42(9). 4851–4861. 3 indexed citations
11.
Kandeel, Mahmoud, et al.. (2023). Comprehensive in silico analyses of flavonoids elucidating the drug properties against kidney disease by targeting AIM2. PLoS ONE. 18(5). e0285965–e0285965. 15 indexed citations
12.
Kumar, Sunil, Monu Kumar Shukla, Iqra Ali, et al.. (2023). In-silico and in-vitro identification of triazole based compounds as potential EGFR inhibitors targeting lung cancer. Molecular Simulation. 49(17). 1614–1631. 5 indexed citations
14.
Kumar, Sunil, et al.. (2023). Identification and exploration of quinazoline-1,2,3-triazole inhibitors targeting EGFR in lung cancer. Journal of Biomolecular Structure and Dynamics. 41(21). 11353–11372. 17 indexed citations
15.
Kumar, Sunil, Iqra Ali, Faheem Abbas, et al.. (2023). In-silico design, pharmacophore-based screening, and molecular docking studies reveal that benzimidazole-1,2,3-triazole hybrids as novel EGFR inhibitors targeting lung cancer. Journal of Biomolecular Structure and Dynamics. 42(18). 9416–9438. 11 indexed citations
16.
Muhammad, Ghulam, Noman Islam, Kamlesh Kumar, et al.. (2022). GVDeepNet: Unsupervised Deep Learning Techniques for Effective Genetic Variant Classification. SHILAP Revista de lepidopterología. 5(1). 16–22. 1 indexed citations
17.
Ali, Iqra & M. Asif Naeem. (2022). Identifying and Profiling User Interest over time using Social Data. 1–6. 1 indexed citations
18.
Rasheed, Muhammad Asif, Muhammad Nasir Iqbal, Salina Saddick, et al.. (2021). Identification of Lead Compounds against Scm (fms10) in Enterococcus faecium Using Computer Aided Drug Designing. Life. 11(2). 77–77. 103 indexed citations
19.
Thow, Anne Marie, Alexandra Jones, Corinna Hawkes, Iqra Ali, & Ronald Labonté. (2016). Nutrition labelling is a trade policy issue: lessons from an analysis of specific trade concerns at the World Trade Organization. Health Promotion International. 33(4). daw109–daw109. 67 indexed citations
20.
Naveed, Safila, et al.. (2015). Contemporary Trends in Novel Ophthalmic Drug Delivery System: An Overview. OALib. 2(5). 1–10. 6 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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