Sunil K. Lal
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Epidemiology top 2%
- Hepatology top 1%
- Immunology top 5%
- Co-authors
- Milan SurjitAnshika SharmaVincent ChowIsra Ahmad FaroukShahid JameelBo LiuZheng Yao LowShweta Tyagi
- Topics
- Influenza Virus Research Studies (31 papers)Viral gastroenteritis research and epidemiology (23 papers)interferon and immune responses (20 papers)
In The Last Decade
Sunil K. Lal
118 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Infectious Diseases 2.0k
- Molecular Biology 1.6k
- Epidemiology 1.0k
- Hepatology 702
- Immunology 700
Countries citing papers authored by Sunil K. Lal
This map shows the geographic impact of Sunil K. Lal'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 Sunil K. Lal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil K. Lal more than expected).
Fields of papers citing papers by Sunil K. Lal
This network shows the impact of papers produced by Sunil K. Lal. 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 Sunil K. Lal. The network helps show where Sunil K. Lal may publish in the future.
Co-authorship network of co-authors of Sunil K. Lal
This figure shows the co-authorship network connecting the top 25 collaborators of Sunil K. Lal. A scholar is included among the top collaborators of Sunil K. Lal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil K. Lal. Sunil K. Lal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | COVID-19: A Review on the Novel Coronavirus Disease Evolution, Transmission, Detection, Control and Preventionbreakdown → | 356 |
| 3 | 10 | |
| 4 | 19 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 41 | |
| 10 | 37 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 68 | |
| 14 | Biology of Emerging Viruses: SARS, Avian and Human Influenza, Mtapneumovirus, Npah, West Nile, and Ross River Virus | 2 |
| 15 | 50 | |
| 16 | 53 | |
| 17 | The white halo plaque phenotype of bacteriophage T4: Its uses and applications in screening and mapping of splicing-defective mutants | 2 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 24 |
About Sunil K. Lal
Sunil K. Lal is a scholar working on Infectious Diseases, Hepatology and Epidemiology, having authored 120 papers that have together received 4.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (31 papers), Viral gastroenteritis research and epidemiology (23 papers) and interferon and immune responses (20 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Hepatology (702 citations) and Animal Science and Zoology (442 citations). Sunil K. Lal has collaborated with scholars based in India, Malaysia and Singapore. Frequent co-authors include Milan Surjit, Anshika Sharma, Vincent Chow, Isra Ahmad Farouk, Shahid Jameel, Bo Liu, Zheng Yao Low, Shweta Tyagi, Purnima Kumar and Hasan Körkaya. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE 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.