Saba Ismail
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Tuberculosis Research and Epidemiology 3
-
- vaccines and immunoinformatics approaches 24
- Biochemical and Structural Characterization 4
- Co-authors
- Sajjad Ahmad (22 shared papers)Muhammad Tahir ul Qamar (10 shared papers)Sumra Wajid Abbasi (14 shared papers)Syed Sikander Azam (2 shared papers)Yasir Waheed (9 shared papers)Asad Ullah (7 shared papers)Khalid Muhammad (4 shared papers)Muhammad Khurram (4 shared papers)
- Journals
- Vaccines (7 papers)Journal of Molecular Liquids (4 papers)International Journal of Environmental Research and Public Health (4 papers)Computers in Biology and Medicine (2 papers)Journal of Molecular Modeling (2 papers)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Saba Ismail
31 papers receiving 736 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 177
- Biotechnology 83
- Molecular Biology 577
- Molecular Medicine 41
- Virology 34
Countries citing papers authored by Saba Ismail
This map shows the geographic impact of Saba Ismail'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 Saba Ismail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saba Ismail more than expected).
Fields of papers citing papers by Saba Ismail
This network shows the impact of papers produced by Saba Ismail. 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 Saba Ismail. The network helps show where Saba Ismail may publish in the future.
Co-authors
The 25 scholars most cited alongside Saba Ismail, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2020 | 54 | |
| 3 | 2021 | 49 | |
| 4 | 2022 | 49 | |
| 5 | 2021 | 46 | |
| 6 | 2022 | 44 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2022 | 36 | |
| 10 | 2020 | 34 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 30 | |
| 13 | 2022 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2022 | 27 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2022 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2022 | 12 |
About Saba Ismail
Saba Ismail is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 35 papers that have together received 745 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (24 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (5 papers), Biochemical and Structural Characterization (4 papers), Bacteriophages and microbial interactions (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (177 citations), Biotechnology (83 citations), Molecular Biology (577 citations), Molecular Medicine (41 citations) and Virology (34 citations). Saba Ismail has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Sajjad Ahmad, Muhammad Tahir ul Qamar, Sumra Wajid Abbasi, Syed Sikander Azam, Yasir Waheed, Asad Ullah, Khalid Muhammad, Muhammad Khurram, Khaled S. Allemailem and Muzammil Hasan Najmi. Their work appears in journals such as Vaccines, Journal of Molecular Liquids, International Journal of Environmental Research and Public Health, Computers in Biology and Medicine and Journal of Molecular Modeling.
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.