Zamara Mariam
Impact in
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 8
-
- Receptor Mechanisms and Signaling 2
- Co-authors
- Sarfaraz K. Niazi (10 shared papers)Rehan Zafar Paracha (1 shared paper)Giuseppe Deganutti (2 shared papers)Denise Wootten (2 shared papers)Matthew J. Belousoff (2 shared papers)Patrick M. Sexton (2 shared papers)Peter Keov (1 shared paper)Brian P. Cary (1 shared paper)
- Journals
- Pharmaceuticals (2 papers)International Journal of Molecular Sciences (2 papers)Therapeutic Advances in Drug Safety (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Zamara Mariam
12 papers receiving 364 citations
Zamara Mariam's Hit Papers
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 132
- Health Informatics 10
- Endocrinology, Diabetes and Metabolism 43
- Toxicology 8
- Pharmacology 38
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-authors
The 17 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 | Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis Hit paper breakdown → | 2023 | 165 |
| 2 | 2023 | 67 | |
| 3 | 2023 | 62 | |
| 4 | 2024 | 20 | |
| 5 | 2025 | 16 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 2 |
About Zamara Mariam
Zamara Mariam is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Alzheimer's disease research and treatments (2 papers), Diabetes Treatment and Management (2 papers), Receptor Mechanisms and Signaling (2 papers), Transgenic Plants and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Machine Learning in Materials Science (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (132 citations), Health Informatics (10 citations), Endocrinology, Diabetes and Metabolism (43 citations), Toxicology (8 citations) and Pharmacology (38 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, Giuseppe Deganutti, Denise Wootten, Matthew J. Belousoff, Patrick M. Sexton, Peter Keov, Brian P. Cary, Caroline A. Hick and Jianjun Cao. Their work appears in journals such as Pharmaceuticals, International Journal of Molecular Sciences, Therapeutic Advances in Drug Safety, Proceedings of the National Academy of Sciences and Nature Communications.
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.