Junaid Asghar

692 total citations
16 papers, 373 citations indexed

About

Junaid Asghar is a scholar working on Artificial Intelligence, Health Information Management and Molecular Biology. According to data from OpenAlex, Junaid Asghar has authored 16 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Health Information Management and 3 papers in Molecular Biology. Recurrent topics in Junaid Asghar's work include Artificial Intelligence in Healthcare (4 papers), Neuropeptides and Animal Physiology (3 papers) and Advancements in Transdermal Drug Delivery (2 papers). Junaid Asghar is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Neuropeptides and Animal Physiology (3 papers) and Advancements in Transdermal Drug Delivery (2 papers). Junaid Asghar collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Junaid Asghar's co-authors include V. Dhilip Kumar, T R Mahesh, V. Vinoth Kumar, G. Arulkumaran, Mohamed E. Ghoneim, Danish Javeed, Ijaz Ahmad, Yousef Ibrahim Daradkeh, Sayed M. Eldin and Oana Geman and has published in prestigious journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and BioMed Research International.

In The Last Decade

Junaid Asghar

16 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junaid Asghar Pakistan 9 164 83 78 71 45 16 373
Saruar Alam Bangladesh 8 49 0.3× 27 0.3× 45 0.6× 55 0.8× 6 0.1× 18 387
Azian Azamimi Abdullah Malaysia 14 126 0.8× 55 0.7× 67 0.9× 85 1.2× 7 0.2× 62 551
Dan Pan China 8 187 1.1× 72 0.9× 69 0.9× 20 0.3× 6 0.1× 28 474
Wenjun Zhu China 11 83 0.5× 43 0.5× 17 0.2× 36 0.5× 27 0.6× 51 400
Pradeep Mutalik United States 7 228 1.4× 46 0.6× 32 0.4× 169 2.4× 49 1.1× 13 373
Patrizia Vizza Italy 12 67 0.4× 67 0.8× 18 0.2× 61 0.9× 13 0.3× 67 396
Ali Narin Türkiye 8 62 0.4× 63 0.8× 30 0.4× 10 0.1× 16 0.4× 20 371
Farheen Ramzan Pakistan 5 136 0.8× 89 1.1× 57 0.7× 22 0.3× 4 0.1× 7 387
Hamidreza Sadeghsalehi Iran 10 63 0.4× 72 0.9× 22 0.3× 19 0.3× 4 0.1× 12 264

Countries citing papers authored by Junaid Asghar

Since Specialization
Citations

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

Fields of papers citing papers by Junaid Asghar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junaid Asghar

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

All Works

16 of 16 papers shown
1.
Ali, Mushtaq, Marwa Obayya, Junaid Asghar, et al.. (2022). Machine learning based skin lesion segmentation method with novel borders and hair removal techniques. PLoS ONE. 17(11). e0275781–e0275781. 6 indexed citations
2.
Khan, Muhammad Musa, Muhammad Akhlaq, Muhammad Ishaq, et al.. (2022). Assessment of Antimicrobial Potential of Plagiochasma rupestre Coupled with Healing Clay Bentonite and AGNPS. BioMed Research International. 2022(1). 4264466–4264466. 4 indexed citations
3.
Alghazzawi, Daniyal, et al.. (2022). A Decision Support System for Diagnosing Diabetes Using Deep Neural Network. Frontiers in Public Health. 10. 861062–861062. 14 indexed citations
4.
Akhlaq, Muhammad, Aamir Jalil, Abul Kalam Azad, et al.. (2022). Formulation of ciprofloxacin-loaded oral self-emulsifying drug delivery system to improve the pharmacokinetics and antibacterial activity. Frontiers in Pharmacology. 13. 967106–967106. 8 indexed citations
6.
Asghar, Junaid, et al.. (2022). Development of a novel cell-based, In-Cell Western/ERK assay system for the high-throughput screening of agonists acting on the delta-opioid receptor. Frontiers in Pharmacology. 13. 933356–933356. 4 indexed citations
7.
Albogamy, Fahad R., Junaid Asghar, Fazli Subhan, et al.. (2022). Decision Support System for Predicting Survivability of Hepatitis Patients. Frontiers in Public Health. 10. 862497–862497. 8 indexed citations
8.
Bashir, Shahida, et al.. (2022). Rough Fuzzy Ideals Induced by Set-Valued Homomorphism in Ternary Semigroups. Journal of Function Spaces. 2022. 1–8. 1 indexed citations
9.
Azad, Abul Kalam, Muhammad Akhlaq, Fakhria A. Al‐Joufi, et al.. (2022). Thiolated Chitosan Microneedle Patch of Levosulpiride from Fabrication, Characterization to Bioavailability Enhancement Approach. Polymers. 14(3). 415–415. 26 indexed citations
10.
Wang, Xiaomei, Ijaz Ahmad, Danish Javeed, et al.. (2022). Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics. 11(17). 2767–2767. 83 indexed citations
11.
Mahesh, T R, et al.. (2022). Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease. Computational Intelligence and Neuroscience. 2022. 1–9. 40 indexed citations
12.
Mahesh, T R, V. Dhilip Kumar, V. Vinoth Kumar, et al.. (2022). AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease. Computational Intelligence and Neuroscience. 2022. 1–11. 64 indexed citations
13.
Kumar, V. Dhilip, et al.. (2022). A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis. Complexity. 2022(1). 26 indexed citations
14.
Szőke, Éva, Rita Börzsei, Junaid Asghar, et al.. (2021). In Silico, In Vitro and In Vivo Pharmacodynamic Characterization of Novel Analgesic Drug Candidate Somatostatin SST4 Receptor Agonists. Frontiers in Pharmacology. 11. 601887–601887. 7 indexed citations
15.
Asghar, Junaid, et al.. (2021). Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model. Computational and Mathematical Methods in Medicine. 2021. 1–10. 21 indexed citations
16.
Conibear, Alexandra E., Junaid Asghar, R. W. Hill, et al.. (2019). A Novel G Protein–Biased Agonist at the δ Opioid Receptor with Analgesic Efficacy in Models of Chronic Pain. Journal of Pharmacology and Experimental Therapeutics. 372(2). 224–236. 48 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026