Sumera Perveen
Impact in
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- Biochemical and Molecular Research 2
- Advanced biosensing and bioanalysis techniques 2
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Masoud Vedadi (9 shared papers)Fengling Li (5 shared papers)Kanchan Devkota (4 shared papers)Taraneh Hajian (6 shared papers)Aliakbar Khalili Yazdi (6 shared papers)Irene Chau (5 shared papers)Albina Bolotokova (6 shared papers)Pegah Ghiabi (7 shared papers)
- Journals
- SLAS DISCOVERY (3 papers)Extremophiles (2 papers)ACS Infectious Diseases (2 papers)Advanced Science (1 paper)Biochemistry (1 paper)
- Partner nations
- CanadaUnited StatesPakistan
In The Last Decade
Sumera Perveen
19 papers receiving 297 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 97
- Virology 13
- Molecular Biology 180
- Computational Theory and Mathematics 42
- Immunology 25
Countries citing papers authored by Sumera Perveen
This map shows the geographic impact of Sumera Perveen'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 Sumera Perveen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumera Perveen more than expected).
Fields of papers citing papers by Sumera Perveen
This network shows the impact of papers produced by Sumera Perveen. 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 Sumera Perveen. The network helps show where Sumera Perveen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumera Perveen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2021 | 58 | |
| 3 | 2021 | 23 | |
| 4 | 2021 | 19 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 0 |
About Sumera Perveen
Sumera Perveen is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Ecology and Epidemiology, having authored 21 papers that have together received 301 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), interferon and immune responses (2 papers), Biochemical and Molecular Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Infectious Diseases (97 citations), Virology (13 citations), Molecular Biology (180 citations), Computational Theory and Mathematics (42 citations) and Immunology (25 citations). Sumera Perveen has collaborated with scholars based in Canada, United States and Pakistan. Frequent co-authors include Masoud Vedadi, Fengling Li, Kanchan Devkota, Taraneh Hajian, Aliakbar Khalili Yazdi, Irene Chau, Albina Bolotokova, Pegah Ghiabi, Evžen Bouřa and P. Loppnau. Their work appears in journals such as SLAS DISCOVERY, Extremophiles, ACS Infectious Diseases, Advanced Science and Biochemistry.
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.