Zamara Mariam
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 8
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- Transgenic Plants and Applications 2
- Co-authors
- Sarfaraz K. NiaziRehan Zafar ParachaCaroline A. HickCharles Bayly-JonesKirsten RaunSteffen Reedtz‐RungeMatthew J. BelousoffGeorge Christopoulos
- Journals
- Pharmaceuticals (2 papers)International Journal of Molecular Sciences (2 papers)Nature Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Therapeutic Advances in Drug Safety (1 paper)
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Zamara Mariam
12 papers receiving 287 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 10
- Computational Theory and Mathematics 114
- Endocrinology, Diabetes and Metabolism 41
- Toxicology 8
- Pharmacology 39
Countries citing papers authored by Zamara Mariam
This map shows the geographic impact of Zamara Mariam'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 Zamara Mariam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zamara Mariam more than expected).
Fields of papers citing papers by Zamara Mariam
This network shows the impact of papers produced by Zamara Mariam. 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 Zamara Mariam. The network helps show where Zamara Mariam may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Zamara Mariam, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 12 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 17 | |
| 8 | Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis Hit paper breakdown → | 2023 | 120 |
| 9 | 2023 | 9 | |
| 10 | 2023 | 54 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 57 |
About Zamara Mariam
Zamara Mariam is a scholar working on Computational Theory and Mathematics, Biotechnology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Environmental Chemistry, having authored 12 papers that have together received 298 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Neuropeptides and Animal Physiology (3 papers), Synthesis and biological activity (2 papers), Machine Learning in Materials Science (2 papers), Alzheimer's disease research and treatments (2 papers), Diabetes Treatment and Management (2 papers), Receptor Mechanisms and Signaling (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Health Informatics (10 citations), Computational Theory and Mathematics (114 citations), Endocrinology, Diabetes and Metabolism (41 citations), Toxicology (8 citations) and Pharmacology (39 citations). Zamara Mariam has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Sarfaraz K. Niazi, Rehan Zafar Paracha, Caroline A. Hick, Charles Bayly-Jones, Kirsten Raun, Steffen Reedtz‐Runge, Matthew J. Belousoff, George Christopoulos, Marlies V. Hager and Samuel H. Gellman. Their work appears in journals such as Pharmaceuticals, International Journal of Molecular Sciences, Nature Communications, Proceedings of the National Academy of Sciences and Therapeutic Advances in Drug Safety.
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.