Asma Irshad

1.2k total citations
52 papers, 698 citations indexed

About

Asma Irshad is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Asma Irshad has authored 52 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Materials Chemistry and 9 papers in Artificial Intelligence. Recurrent topics in Asma Irshad's work include Nanoparticles: synthesis and applications (9 papers), AI in cancer detection (7 papers) and Graphene and Nanomaterials Applications (4 papers). Asma Irshad is often cited by papers focused on Nanoparticles: synthesis and applications (9 papers), AI in cancer detection (7 papers) and Graphene and Nanomaterials Applications (4 papers). Asma Irshad collaborates with scholars based in Pakistan, Saudi Arabia and France. Asma Irshad's co-authors include Haleema Sadia, Shahid Raza, Zeeshan Javed, Javad Sharifi‐Rad, Kausar Malik, Rais Ahmed, Muhammad Iqbal, Ijaz A. Qureshi, Nadeem Sarwar and Raffaele Pezzani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Biological Macromolecules.

In The Last Decade

Asma Irshad

42 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asma Irshad Pakistan 11 145 114 90 84 78 52 698
Amol D. Gholap India 14 255 1.8× 155 1.4× 37 0.4× 81 1.0× 224 2.9× 39 1.1k
Senyi Deng China 17 424 2.9× 224 2.0× 31 0.3× 70 0.8× 165 2.1× 48 1.1k
Vaisali Chandrasekar Qatar 17 178 1.2× 71 0.6× 35 0.4× 44 0.5× 181 2.3× 25 782
Peiyu Yan China 16 385 2.7× 39 0.3× 50 0.6× 85 1.0× 73 0.9× 46 989
Shweta Shrivastava India 20 562 3.9× 171 1.5× 41 0.5× 33 0.4× 125 1.6× 49 1.4k
Minyan Wei China 18 467 3.2× 234 2.1× 10 0.1× 44 0.5× 194 2.5× 38 1.2k
Nawaf Alshammari Saudi Arabia 16 156 1.1× 39 0.3× 35 0.4× 18 0.2× 51 0.7× 68 649
Priti Tagde India 14 211 1.5× 132 1.2× 31 0.3× 20 0.2× 107 1.4× 27 767

Countries citing papers authored by Asma Irshad

Since Specialization
Citations

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

Fields of papers citing papers by Asma Irshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asma Irshad

This figure shows the co-authorship network connecting the top 25 collaborators of Asma Irshad. A scholar is included among the top collaborators of Asma Irshad 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 Asma Irshad. Asma Irshad 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.
Khan, Salman, Tahira Batool, Muhammad Arsalan Khan, et al.. (2025). Effects of Intrathecal Midazolam (1mg) with Hyperbaric Bupivacaine 0.5% (15mg) for Spinal Anesthesia for Caesarean Section. 3(2). 86–91.
3.
Shoaib, Muhammad Harris, et al.. (2025). Dissolving microneedle patches for transdermal delivery of paroxetine: in-vitro, ex-vivo studies and its PBPK modeling. Therapeutic Delivery. 16(9). 835–851.
4.
Tahir, Muhammad Ibrahim, et al.. (2025). Enhanced drug-drug interaction extraction from biomedical text using deep learning-based sentence representations. Scientific Reports. 15(1). 37842–37842.
5.
Shafique, Shoaib, et al.. (2025). Reimagine breast cancer treatment: MgO-IDA nanocomposites: A promising strategy for precision medicine targeting MCF-7 cells. Results in Chemistry. 17. 102660–102660. 1 indexed citations
6.
Irshad, Asma, et al.. (2025). Nanogel-based delivery of dequalinium chloride: A novel approach for antimicrobial and controlled drug release. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(11). 15561–15572. 1 indexed citations
7.
Yousuf, Rabia Ismail, et al.. (2024). Cellulose ether and carbopol 971 based gastroretentive controlled release formulation design, optimization and physiologically based pharmacokinetic modeling of ondansetron hydrochloride minitablets. International Journal of Biological Macromolecules. 276(Pt 2). 133841–133841. 4 indexed citations
8.
Bisoy, Sukant Kishoro, et al.. (2024). Ensemble Classification Model With CFS‐IGWO–Based Feature Selection for Cancer Detection Using Microarray Data. International Journal of Telemedicine and Applications. 2024(1). 4105224–4105224.
9.
Irshad, Asma, et al.. (2024). Bioengineering of glucan coated silver nanoparticles as dynamic biomedical compound; in vitro and in vivo studies. Microbial Pathogenesis. 197. 107005–107005. 6 indexed citations
10.
Sarwar, Nadeem, et al.. (2024). Skin lesion segmentation using deep learning algorithm with ant colony optimization. BMC Medical Informatics and Decision Making. 24(1). 265–265. 13 indexed citations
11.
Suleman, Muhammad, et al.. (2024). Pyocins and Beyond: Exploring the World of Bacteriocins in Pseudomonas aeruginosa. Probiotics and Antimicrobial Proteins. 17(1). 240–252. 7 indexed citations
13.
Ameen, Ayesha, et al.. (2023). Dysfunction of the Gut Microbiome and its Onset Progression of Chronic and Mental Health Disorders. 17(5). 425–429. 2 indexed citations
14.
Shoaib, Muhammad Harris, Farrukh Rafiq Ahmed, Rabia Ismail Yousuf, et al.. (2023). SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling. Frontiers in Pharmacology. 14. 1066018–1066018. 5 indexed citations
15.
Sadia, Haleema, Mukhtar Ullah, Asma Irshad, et al.. (2022). Mutational analysis of exons 5-9 of TP53 gene in breast cancer patients of Punjabi ethnicity. Advancements in Life Sciences. 9(1). 18–18. 1 indexed citations
16.
Khan, Muhammad Umer, Haleema Sadia, Asma Irshad, et al.. (2020). Detection, quantification and genotype distribution of HCV patients in Lahore, Pakistan by real-time PCR. African Health Sciences. 20(3). 1143–1152. 3 indexed citations
17.
Khan, Khushbukhat, Cristina Quispe, Zeeshan Javed, et al.. (2020). Resveratrol, curcumin, paclitaxel and miRNAs mediated regulation of PI3K/Akt/mTOR pathway: go four better to treat bladder cancer. Cancer Cell International. 20(1). 560–560. 68 indexed citations
18.
Sadia, Haleema, Asma Irshad, Rais Ahmed, et al.. (2020). Determination of expression profile of p53 gene in different grades of breast cancer tissues by real time PCR. African Health Sciences. 20(3). 1273–1282. 10 indexed citations
19.
Irshad, Asma, Nadeem Sarwar, Haleema Sadia, et al.. (2019). Comprehensive facts on dynamic antimicrobial properties of polysaccharides and biomolecules-silver nanoparticle conjugate. International Journal of Biological Macromolecules. 145. 189–196. 31 indexed citations
20.
Abbas, Mazhar, Tariq Hussain, Muhammad Arshad, et al.. (2019). Wound healing potential of curcumin cross-linked chitosan/polyvinyl alcohol. International Journal of Biological Macromolecules. 140. 871–876. 145 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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