Simran Kaur
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in ⓘ
-
- Mycobacterium research and diagnosis 2
- Co-authors
- Vandana Gupta (1 shared paper)Kulbhushan Sharma (2 shared papers)Alo Nag (2 shared papers)Vibhu Paudyal (1 shared paper)C. P. Singh (1 shared paper)Gurudutta Gangenahalli (1 shared paper)Wamik Azmi (1 shared paper)Ajay Singh (1 shared paper)
- Journals
- Virus Research (1 paper)Scientific Reports (1 paper)Infection Genetics and Evolution (1 paper)Suicide and Life-Threatening Behavior (1 paper)Journal of Management Analytics (1 paper)
- Partner nations
- IndiaUnited StatesBulgaria
In The Last Decade
Simran Kaur
20 papers receiving 727 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Modeling and Simulation 107
- Health 193
- Infectious Diseases 416
- Business and International Management 11
- Neurology 40
Countries citing papers authored by Simran Kaur
This map shows the geographic impact of Simran Kaur'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 Simran Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simran Kaur more than expected).
Fields of papers citing papers by Simran Kaur
This network shows the impact of papers produced by Simran Kaur. 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 Simran Kaur. The network helps show where Simran Kaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Simran Kaur, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 Vaccine: A comprehensive status report Hit paper breakdown → | 2020 | 598 |
| 2 | 2021 | 27 | |
| 3 | 2019 | 21 | |
| 4 | 2025 | 17 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 12 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 7 | |
| 9 | Analysis of Low Power SRAM Memory Cell using Tanner Tool | 2012 | 7 |
| 10 | 2021 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2025 | 1 |
About Simran Kaur
Simran Kaur is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Electrical and Electronic Engineering and Health, having authored 25 papers that have together received 750 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers), Vaccine Coverage and Hesitancy (2 papers), Mycobacterium research and diagnosis (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), Optical Wireless Communication Technologies (2 papers) and Suicide and Self-Harm Studies (2 papers). The work is most often cited by research in Modeling and Simulation (107 citations), Health (193 citations), Infectious Diseases (416 citations), Business and International Management (11 citations) and Neurology (40 citations). Simran Kaur has collaborated with scholars based in India, United States and Bulgaria. Frequent co-authors include Vandana Gupta, Kulbhushan Sharma, Alo Nag, Vibhu Paudyal, C. P. Singh, Gurudutta Gangenahalli, Wamik Azmi, Ajay Singh, Regina Miranda and K. P. Das. Their work appears in journals such as Virus Research, Scientific Reports, Infection Genetics and Evolution, Suicide and Life-Threatening Behavior and Journal of Management Analytics.
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.