Sajda Ashraf
Impact in
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- Computational Drug Discovery Methods
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Receptor Mechanisms and Signaling 4
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- Synthesis and biological activity 15
- Synthesis and Biological Evaluation 6
- Carbohydrate Chemistry and Synthesis 4
- Synthesis and Characterization of Heterocyclic Compounds 4
- Co-authors
- Zaheer Ul‐Haq (43 shared papers)Komal Zia (6 shared papers)Salman Ali Khan (3 shared papers)Reaz Uddin (1 shared paper)Assem Barakat (9 shared papers)Abdullah Mohammed Al‐Majid (8 shared papers)M. Iqbal Choudhary (4 shared papers)Mohammad Nur‐e‐Alam (4 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)International Journal of Molecular Sciences (3 papers)International Journal of Biological Macromolecules (3 papers)Molecules (3 papers)Heliyon (2 papers)
- Partner nations
- PakistanSaudi ArabiaTürkiye
In The Last Decade
Sajda Ashraf
52 papers receiving 846 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 253
- Infectious Diseases 165
- Organic Chemistry 277
- Toxicology 27
- Pharmacology 49
Countries citing papers authored by Sajda Ashraf
This map shows the geographic impact of Sajda Ashraf'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 Sajda Ashraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajda Ashraf more than expected).
Fields of papers citing papers by Sajda Ashraf
This network shows the impact of papers produced by Sajda Ashraf. 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 Sajda Ashraf. The network helps show where Sajda Ashraf may publish in the future.
Co-authors
The 25 scholars most cited alongside Sajda Ashraf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 280 | |
| 2 | 2017 | 57 | |
| 3 | 2020 | 56 | |
| 4 | 2017 | 49 | |
| 5 | 2023 | 36 | |
| 6 | 2015 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2019 | 10 |
About Sajda Ashraf
Sajda Ashraf is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Oncology, having authored 53 papers that have together received 852 indexed citations. Recurring topics across this work include Synthesis and biological activity (15 papers), Computational Drug Discovery Methods (8 papers), Natural Antidiabetic Agents Studies (7 papers), Synthesis and Biological Evaluation (6 papers), Receptor Mechanisms and Signaling (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers) and Microbial Applications in Construction Materials (4 papers). The work is most often cited by research in Computational Theory and Mathematics (253 citations), Infectious Diseases (165 citations), Organic Chemistry (277 citations), Toxicology (27 citations) and Pharmacology (49 citations). Sajda Ashraf has collaborated with scholars based in Pakistan, Saudi Arabia and Türkiye. Frequent co-authors include Zaheer Ul‐Haq, Komal Zia, Salman Ali Khan, Reaz Uddin, Assem Barakat, Abdullah Mohammed Al‐Majid, M. Iqbal Choudhary, Mohammad Nur‐e‐Alam, Sarfaraz Ahmed and Almas Jabeen. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, International Journal of Molecular Sciences, International Journal of Biological Macromolecules, Molecules and Heliyon.
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.