Iqra Ali
Impact in
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- Computational Drug Discovery Methods
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- Global Public Health Policies and Epidemiology
Papers in
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- Cancer therapeutics and mechanisms 5
- Bioinformatics and Genomic Networks 2
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- Synthesis and biological activity 5
- Click Chemistry and Applications 2
- Co-authors
- Muhammad Nasir Iqbal (5 shared papers)Muhammad Asif Rasheed (3 shared papers)Alexandra Jones (1 shared paper)Ronald Labonté (1 shared paper)Corinna Hawkes (1 shared paper)Anne Marie Thow (1 shared paper)Deepak Kumar (6 shared papers)Muhammad Ibrahim (2 shared papers)
In The Last Decade
Iqra Ali
18 papers receiving 339 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 67
- Organizational Behavior and Human Resource Management 40
- Pharmacology 26
- Organic Chemistry 69
- Pharmacology 28
Countries citing papers authored by Iqra Ali
This map shows the geographic impact of Iqra Ali'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 Iqra Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iqra Ali more than expected).
Fields of papers citing papers by Iqra Ali
This network shows the impact of papers produced by Iqra Ali. 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 Iqra Ali. The network helps show where Iqra Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Iqra Ali, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 107 | |
| 2 | 2016 | 69 | |
| 3 | 2023 | 31 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2015 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Iqra Ali
Iqra Ali is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Pharmacology, having authored 22 papers that have together received 343 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Synthesis and biological activity (5 papers), Cancer therapeutics and mechanisms (5 papers), Click Chemistry and Applications (2 papers), Ferroptosis and cancer prognosis (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Bioinformatics and Genomic Networks (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Computational Theory and Mathematics (67 citations), Organizational Behavior and Human Resource Management (40 citations), Pharmacology (26 citations), Organic Chemistry (69 citations) and Pharmacology (28 citations). Iqra Ali has collaborated with scholars based in Pakistan, India and China. Frequent co-authors include Muhammad Nasir Iqbal, Muhammad Asif Rasheed, Alexandra Jones, Ronald Labonté, Corinna Hawkes, Anne Marie Thow, Deepak Kumar, Muhammad Ibrahim, Sunil Kumar and Falak Sher Khan. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, PLoS ONE, Scientific Reports, Molecular Diversity and Life.
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.