Aarfa Queen
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Synthesis and biological activity 8
- Structural and Chemical Analysis of Organic and Inorganic Compounds 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Md. Imtaiyaz Hassan (17 shared papers)Parvez Κhan (12 shared papers)Afzal Hussain (8 shared papers)Mohamed Fahad Alajmi (7 shared papers)Gulam Mustafa Hasan (4 shared papers)Anas Shamsi (4 shared papers)Asimul Islam (4 shared papers)Faizan Ahmad (4 shared papers)
- Journals
- Scientific Reports (3 papers)International Journal of Biological Macromolecules (2 papers)ACS Medicinal Chemistry Letters (1 paper)Current Protein and Peptide Science (1 paper)Pharmaceutical Research (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Aarfa Queen
23 papers receiving 1k citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 184
- Drug Discovery 3
- Organic Chemistry 215
- Molecular Biology 344
- Pharmacology 71
Countries citing papers authored by Aarfa Queen
This map shows the geographic impact of Aarfa Queen'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 Aarfa Queen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aarfa Queen more than expected).
Fields of papers citing papers by Aarfa Queen
This network shows the impact of papers produced by Aarfa Queen. 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 Aarfa Queen. The network helps show where Aarfa Queen may publish in the future.
Co-authors
The 25 scholars most cited alongside Aarfa Queen, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2017 | 95 | |
| 3 | 2018 | 91 | |
| 4 | 2020 | 88 | |
| 5 | 2019 | 77 | |
| 6 | 2022 | 75 | |
| 7 | 2017 | 55 | |
| 8 | 2019 | 55 | |
| 9 | 2017 | 51 | |
| 10 | 2020 | 45 | |
| 11 | 2020 | 45 | |
| 12 | 2021 | 37 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 32 | |
| 15 | 2017 | 19 | |
| 16 | 2020 | 17 | |
| 17 | 2022 | 15 | |
| 18 | 2019 | 12 | |
| 19 | 2024 | 8 | |
| 20 | 2018 | 7 |
About Aarfa Queen
Aarfa Queen is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Waste Management and Disposal and Pollution, having authored 23 papers that have together received 1k indexed citations. Recurring topics across this work include Synthesis and biological activity (8 papers), Enzyme function and inhibition (6 papers), Computational Drug Discovery Methods (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Healthcare and Environmental Waste Management (2 papers), Wastewater Treatment and Reuse (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers) and Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Drug Discovery (3 citations), Organic Chemistry (215 citations), Molecular Biology (344 citations) and Pharmacology (71 citations). Aarfa Queen has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Md. Imtaiyaz Hassan, Parvez Κhan, Afzal Hussain, Mohamed Fahad Alajmi, Gulam Mustafa Hasan, Anas Shamsi, Asimul Islam, Faizan Ahmad, Saleha Anwar and Sher Ali. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules, ACS Medicinal Chemistry Letters, Current Protein and Peptide Science and Pharmaceutical Research.
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.