Jasdeep Singh
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
-
- Computational Drug Discovery Methods
Papers in
-
- Tuberculosis Research and Epidemiology 6
- SARS-CoV-2 and COVID-19 Research 6
-
- Computational Drug Discovery Methods 7
- Co-authors
- Seyed E. Hasnain (11 shared papers)Bishwajit Kundu (15 shared papers)Nasreen Z. Ehtesham (11 shared papers)Durai Sundar (4 shared papers)Vipul Kumar (2 shared papers)Neha Quadir (5 shared papers)Mohd Shariq (3 shared papers)Javaid Ahmad Sheikh (3 shared papers)
- Journals
- Journal of Cellular Biochemistry (3 papers)International Journal of Molecular Sciences (2 papers)Biochemical Journal (2 papers)Frontiers in Immunology (2 papers)Viruses (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Jasdeep Singh
27 papers receiving 654 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 320
- Computational Theory and Mathematics 45
- Modeling and Simulation 10
- Molecular Biology 115
- Neurology 25
Countries citing papers authored by Jasdeep Singh
This map shows the geographic impact of Jasdeep Singh'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 Jasdeep Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasdeep Singh more than expected).
Fields of papers citing papers by Jasdeep Singh
This network shows the impact of papers produced by Jasdeep Singh. 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 Jasdeep Singh. The network helps show where Jasdeep Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jasdeep Singh, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2021 | 74 | |
| 3 | 2021 | 65 | |
| 4 | 2017 | 63 | |
| 5 | 2021 | 61 | |
| 6 | 2017 | 53 | |
| 7 | 2013 | 35 | |
| 8 | 2015 | 24 | |
| 9 | 2017 | 23 | |
| 10 | 2023 | 20 | |
| 11 | 2016 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2018 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2022 | 9 |
About Jasdeep Singh
Jasdeep Singh is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Molecular Medicine, Molecular Biology and Physiology, having authored 29 papers that have together received 663 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Tuberculosis Research and Epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Alzheimer's disease research and treatments (3 papers), Antibiotic Resistance in Bacteria (2 papers), Heat shock proteins research (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Infectious Diseases (320 citations), Computational Theory and Mathematics (45 citations), Modeling and Simulation (10 citations), Molecular Biology (115 citations) and Neurology (25 citations). Jasdeep Singh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Seyed E. Hasnain, Bishwajit Kundu, Nasreen Z. Ehtesham, Durai Sundar, Vipul Kumar, Neha Quadir, Mohd Shariq, Javaid Ahmad Sheikh, Neha Sharma and Ankit Srivastava. Their work appears in journals such as Journal of Cellular Biochemistry, International Journal of Molecular Sciences, Biochemical Journal, Frontiers in Immunology and Viruses.
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.