Anusha Amanullah
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
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- Computational Drug Discovery Methods
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
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- RNA Interference and Gene Delivery 1
- Machine Learning in Bioinformatics 1
- Bioinformatics and Genomic Networks 1
- Bacillus and Francisella bacterial research 1
- vaccines and immunoinformatics approaches 1
- Co-authors
- Mushtaq Hussain (6 shared papers)Sanya Shabbir (5 shared papers)Nusrat Jabeen (4 shared papers)Ayesha Baig (1 shared paper)Ayesha Baig (2 shared papers)Ayesha Aslam (1 shared paper)
- Journals
- Journal of Medical Virology (2 papers)Biology (1 paper)Polymers (1 paper)AIMS Microbiology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- Pakistan
In The Last Decade
Anusha Amanullah
6 papers receiving 339 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 275
- Computational Theory and Mathematics 69
- Neurology 47
- Modeling and Simulation 11
- Animal Science and Zoology 23
Countries citing papers authored by Anusha Amanullah
This map shows the geographic impact of Anusha Amanullah'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 Anusha Amanullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anusha Amanullah more than expected).
Fields of papers citing papers by Anusha Amanullah
This network shows the impact of papers produced by Anusha Amanullah. 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 Anusha Amanullah. The network helps show where Anusha Amanullah may publish in the future.
Co-authors
The 6 scholars most cited alongside Anusha Amanullah, 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 | 2020 | 257 | |
| 2 | 2020 | 66 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2023 | 3 |
About Anusha Amanullah
Anusha Amanullah is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 349 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Influenza Virus Research Studies (2 papers), RNA Interference and Gene Delivery (1 paper), Machine Learning in Bioinformatics (1 paper), Bioinformatics and Genomic Networks (1 paper), Computational Drug Discovery Methods (1 paper), Bacillus and Francisella bacterial research (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (275 citations), Computational Theory and Mathematics (69 citations), Neurology (47 citations), Modeling and Simulation (11 citations) and Animal Science and Zoology (23 citations). Anusha Amanullah has collaborated with scholars based in Pakistan. Frequent co-authors include Mushtaq Hussain, Sanya Shabbir, Nusrat Jabeen, Ayesha Baig, Ayesha Baig and Ayesha Aslam. Their work appears in journals such as Journal of Medical Virology, Biology, Polymers, AIMS Microbiology and SHILAP Revista de lepidopterología.
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.