Junaid Asghar
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 4
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- Imbalanced Data Classification Techniques 2
- Co-authors
- V. Dhilip Kumar (3 shared papers)V. Vinoth Kumar (2 shared papers)G. Arulkumaran (2 shared papers)T R Mahesh (2 shared papers)Xiaomei Wang (1 shared paper)Sayed M. Eldin (1 shared paper)Oana Geman (1 shared paper)Danish Javeed (1 shared paper)
- Journals
- Frontiers in Pharmacology (3 papers)Frontiers in Public Health (2 papers)Computational Intelligence and Neuroscience (2 papers)BMC Infectious Diseases (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- PakistanSaudi ArabiaMalaysia
In The Last Decade
Junaid Asghar
16 papers receiving 388 citations
Peers
Comparison fields: 5 of 99
- Health Information Management 75
- Health Informatics 7
- Artificial Intelligence 164
- Neurology 36
- Pharmaceutical Science 24
Countries citing papers authored by Junaid Asghar
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
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-authors
The 25 scholars most cited alongside Junaid Asghar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 89 | |
| 2 | 2022 | 71 | |
| 3 | 2019 | 49 | |
| 4 | 2022 | 40 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 0 |
About Junaid Asghar
Junaid Asghar is a scholar working on Health Information Management, Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience and Dermatology, having authored 17 papers that have together received 396 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Neuropeptides and Animal Physiology (3 papers), Brain Tumor Detection and Classification (2 papers), Receptor Mechanisms and Signaling (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Imbalanced Data Classification Techniques (2 papers), Advanced Drug Delivery Systems (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Health Information Management (75 citations), Health Informatics (7 citations), Artificial Intelligence (164 citations), Neurology (36 citations) and Pharmaceutical Science (24 citations). Junaid Asghar has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include V. Dhilip Kumar, V. Vinoth Kumar, G. Arulkumaran, T R Mahesh, Xiaomei Wang, Sayed M. Eldin, Oana Geman, Danish Javeed, Ijaz Ahmad and Fahad Alotaibi. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Public Health, Computational Intelligence and Neuroscience, BMC Infectious Diseases and Frontiers in Psychiatry.
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.