Deepti Gurdasani
- Genetics top 10%
- Infectious Diseases top 5%
- Molecular Biology
- Surgery
- Neurology top 10%
- Co-authors
- Manjinder S. SandhuAlexander J. MentzerInês BarrosoMartin PollardEleftheria ZegginiTarryn PorterCristina PomillaGuiqing Yao
- Topics
- COVID-19 Clinical Research Studies (7 papers)Genetic Associations and Epidemiology (7 papers)Long-Term Effects of COVID-19 (7 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Deepti Gurdasani
37 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Genetics 338
- Infectious Diseases 334
- Molecular Biology 326
- Surgery 231
- Neurology 181
Countries citing papers authored by Deepti Gurdasani
This map shows the geographic impact of Deepti Gurdasani'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 Deepti Gurdasani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Gurdasani more than expected).
Fields of papers citing papers by Deepti Gurdasani
This network shows the impact of papers produced by Deepti Gurdasani. 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 Deepti Gurdasani. The network helps show where Deepti Gurdasani may publish in the future.
Co-authorship network of co-authors of Deepti Gurdasani
This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Gurdasani. A scholar is included among the top collaborators of Deepti Gurdasani 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 Deepti Gurdasani. Deepti Gurdasani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Artificial intelligence in public health: the potential of epidemic early warning systemsbreakdown → | 64 |
| 4 | 60 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 23 | |
| 12 | 147 | |
| 13 | 170 | |
| 14 | 4 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 110 | |
| 18 | 71 | |
| 19 | An interesting case of hypogonadism. | 1 |
| 20 | 1 |
About Deepti Gurdasani
Deepti Gurdasani is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology and Neurology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Genetic Associations and Epidemiology (7 papers) and Long-Term Effects of COVID-19 (7 papers). The work is most often cited by research in Virology (123 citations), Infectious Diseases (334 citations) and Health Informatics (24 citations). Deepti Gurdasani has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Manjinder S. Sandhu, Alexander J. Mentzer, Inês Barroso, Martin Pollard, Eleftheria Zeggini, Tarryn Porter, Cristina Pomilla, Guiqing Yao, Margaret O’Hara and Claire Hastie. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.