Shailja Singhal
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- RNA Research and Splicing 1
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
- Co-authors
- Rekha Khandia (8 shared papers)Kuldeep Dhama (4 shared papers)Taha Alqahtani (4 shared papers)Mohammad Amjad Kamal (2 shared papers)Nahed A. El‐Shall (1 shared paper)Firzan Nainu (1 shared paper)Perumal Arumugam Desingu (1 shared paper)Ashok Munjal (3 shared papers)
- Journals
- Cancers (1 paper)Journal of King Saud University - Science (1 paper)Current Pharmaceutical Design (1 paper)Environmental Research (1 paper)Current Alzheimer Research (1 paper)
- Partner nations
- IndiaSaudi ArabiaRussia
In The Last Decade
Shailja Singhal
7 papers receiving 331 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 172
- Modeling and Simulation 22
- Animal Science and Zoology 27
- Molecular Biology 139
- Health 14
Countries citing papers authored by Shailja Singhal
This map shows the geographic impact of Shailja Singhal'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 Shailja Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailja Singhal more than expected).
Fields of papers citing papers by Shailja Singhal
This network shows the impact of papers produced by Shailja Singhal. 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 Shailja Singhal. The network helps show where Shailja Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Shailja Singhal, 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 | Emergence of SARS-CoV-2 Omicron (B.1.1.529) variant, salient features, high global health concerns and strategies to counter it amid ongoing COVID-19 pandemic Hit paper breakdown → | 2022 | 188 |
| 2 | 2019 | 111 | |
| 3 | 2021 | 22 | |
| 4 | 2022 | 8 | |
| 5 | 2020 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 0 |
About Shailja Singhal
Shailja Singhal is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Pharmacology and Complementary and alternative medicine, having authored 8 papers that have together received 335 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers), COVID-19 Clinical Research Studies (2 papers), Medicinal Plants and Neuroprotection (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Infectious Diseases (172 citations), Modeling and Simulation (22 citations), Animal Science and Zoology (27 citations), Molecular Biology (139 citations) and Health (14 citations). Shailja Singhal has collaborated with scholars based in India, Saudi Arabia and Russia. Frequent co-authors include Rekha Khandia, Kuldeep Dhama, Taha Alqahtani, Mohammad Amjad Kamal, Nahed A. El‐Shall, Firzan Nainu, Perumal Arumugam Desingu, Ashok Munjal, Jayashankar Das and Afzal Ansari. Their work appears in journals such as Cancers, Journal of King Saud University - Science, Current Pharmaceutical Design, Environmental Research and Current Alzheimer 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.