Kanwal Khalid
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- vaccines and immunoinformatics approaches
- RNA modifications and cancer
- Extracellular vesicles in disease
Papers in
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- vaccines and immunoinformatics approaches 6
- RNA Interference and Gene Delivery 1
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- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Chit Laa Poh (8 shared papers)Noraini Abd-Aziz (1 shared paper)Rakesh Naidu (1 shared paper)Hui Xuan Lim (6 shared papers)Paul A. MacAry (1 shared paper)Malihe Masomian (1 shared paper)Learn−Han Lee (1 shared paper)Ayaz Anwar (2 shared papers)
In The Last Decade
Kanwal Khalid
9 papers receiving 342 citations
Kanwal Khalid's Hit Papers
Peers
Comparison fields: 5 of 63
- Cancer Research 145
- Molecular Biology 218
- Infectious Diseases 54
- Molecular Medicine 12
- Health 13
Countries citing papers authored by Kanwal Khalid
This map shows the geographic impact of Kanwal Khalid'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 Kanwal Khalid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanwal Khalid more than expected).
Fields of papers citing papers by Kanwal Khalid
This network shows the impact of papers produced by Kanwal Khalid. 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 Kanwal Khalid. The network helps show where Kanwal Khalid may publish in the future.
Co-authors
The 10 scholars most cited alongside Kanwal Khalid, 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 | miRNA: A Promising Therapeutic Target in Cancer Hit paper breakdown → | 2022 | 235 |
| 2 | 2023 | 50 | |
| 3 | 2023 | 22 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2025 | 6 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 0 |
About Kanwal Khalid
Kanwal Khalid is a scholar working on Molecular Biology, Infectious Diseases, Critical Care and Intensive Care Medicine, Health and Neurology, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Vaccine Coverage and Hesitancy (1 paper), Immunotherapy and Immune Responses (1 paper), Respiratory Support and Mechanisms (1 paper), RNA Interference and Gene Delivery (1 paper) and Pediatric health and respiratory diseases (1 paper). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (218 citations), Infectious Diseases (54 citations), Molecular Medicine (12 citations) and Health (13 citations). Kanwal Khalid has collaborated with scholars based in Malaysia, Singapore and China. Frequent co-authors include Chit Laa Poh, Noraini Abd-Aziz, Rakesh Naidu, Hui Xuan Lim, Paul A. MacAry, Malihe Masomian, Learn−Han Lee, Ayaz Anwar, Raja Affendi Raja Ali and Jung Shan Hwang. Their work appears in journals such as International Journal of Molecular Sciences, AAPS PharmSciTech, Vaccines, The AAPS Journal and Biomedicine & Pharmacotherapy.
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.