Uzma Hussain
- Molecular Biology
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Sarah K. GrossArens TagaNicholas J. MaragakisJean‐Philippe P. RichardJames T. CampanelliMehreen KouserJeff W. M. BulteShakeel Ahmed
- Topics
- DNA and Biological Computing (2 papers)Spinal Cord Injury Research (1 paper)Neurogenetic and Muscular Disorders Research (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionMolecular MedicineComputational Theory and Mathematics
- Journals
- Stem Cells Translational MedicineJournal of King Saud University - ScienceInternational Journal of Computer Applications
- Partner nations
- IndiaSaudi ArabiaEthiopia
In The Last Decade
Uzma Hussain
3 papers receiving 16 citations
Peers
Comparison fields: 5 of 16
- Molecular Biology 8
- Computer Vision and Pattern Recognition 5
- Biomedical Engineering 5
- Artificial Intelligence 4
- Radiology, Nuclear Medicine and Imaging 4
Countries citing papers authored by Uzma Hussain
This map shows the geographic impact of Uzma Hussain'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 Uzma Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uzma Hussain more than expected).
Fields of papers citing papers by Uzma Hussain
This network shows the impact of papers produced by Uzma Hussain. 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 Uzma Hussain. The network helps show where Uzma Hussain may publish in the future.
Co-authorship network of co-authors of Uzma Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Uzma Hussain. A scholar is included among the top collaborators of Uzma Hussain 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 Uzma Hussain. Uzma Hussain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | Review of DNA Cryptology | 2 |
About Uzma Hussain
Uzma Hussain is a scholar working on Endocrine and Autonomic Systems, Genetics and Neurology, having authored 4 papers that have together received 17 indexed citations. Recurring topics across this work include DNA and Biological Computing (2 papers), Spinal Cord Injury Research (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (5 citations), Molecular Medicine (1 citation) and Computational Theory and Mathematics (3 citations). Uzma Hussain has collaborated with scholars based in India, Saudi Arabia and Ethiopia. Frequent co-authors include Sarah K. Gross, Arens Taga, Nicholas J. Maragakis, Jean‐Philippe P. Richard, James T. Campanelli, Mehreen Kouser, Jeff W. M. Bulte, Shakeel Ahmed, Gulnaz Afzal and Jilong Han. Their work appears in journals such as Stem Cells Translational Medicine, Journal of King Saud University - Science and International Journal of Computer Applications.
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.