Ajit Lalvani
- Infectious Diseases top 0.05%
- Tuberculosis Research and Epidemiology 115
- Epidemiology top 0.1%
- Mycobacterium research and diagnosis 76
- Pneumocystis jirovecii pneumonia detection and treatment 15
- Pneumonia and Respiratory Infections 12
- Immunology top 0.5%
- Immunodeficiency and Autoimmune Disorders 24
- Surgery top 0.5%
- Infectious Diseases and Tuberculosis 36
- Diagnosis and treatment of tuberculosis 17
- Virology top 2%
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- vaccines and immunoinformatics approaches 12
- Co-authors
- Jonathan J DeeksAdrian V. S. HillAnsar A. PathanKatie EwerGeoffrey PasvolKerry MillingtonManish PareekRobert J. Wilkinson
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Lancet (7 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Ajit Lalvani
158 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Infectious Diseases 8.0k
- Epidemiology 6.9k
- Immunology 3.5k
- Surgery 4.1k
- Virology 424
Countries citing papers authored by Ajit Lalvani
This map shows the geographic impact of Ajit Lalvani'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 Ajit Lalvani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Lalvani more than expected).
Fields of papers citing papers by Ajit Lalvani
This network shows the impact of papers produced by Ajit Lalvani. 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 Ajit Lalvani. The network helps show where Ajit Lalvani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ajit Lalvani, 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 | 2025 | 1 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 18 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 29 | |
| 10 | 2018 | 21 | |
| 11 | 2014 | 18 | |
| 12 | 2010 | 37 | |
| 13 | 2007 | 234 | |
| 14 | 2006 | 182 | |
| 15 | 2006 | 126 | |
| 16 | 2005 | 101 | |
| 17 | 2004 | 115 | |
| 18 | 2004 | 69 | |
| 19 | 2001 | 346 | |
| 20 | 2001 | 299 |
About Ajit Lalvani
Ajit Lalvani is a scholar working on Infectious Diseases, Epidemiology and Immunology, having authored 162 papers that have together received 11.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (115 papers), Mycobacterium research and diagnosis (76 papers), Infectious Diseases and Tuberculosis (36 papers), Immunodeficiency and Autoimmune Disorders (24 papers), Diagnosis and treatment of tuberculosis (17 papers), Pneumocystis jirovecii pneumonia detection and treatment (15 papers), vaccines and immunoinformatics approaches (12 papers) and Pneumonia and Respiratory Infections (12 papers). The work is most often cited by research in Infectious Diseases (8.0k citations), Epidemiology (6.9k citations) and Immunology (3.5k citations). Ajit Lalvani has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Jonathan J Deeks, Adrian V. S. Hill, Ansar A. Pathan, Katie Ewer, Geoffrey Pasvol, Kerry Millington, Manish Pareek, Robert J. Wilkinson, Saranya Sridhar and Mohammed Latif. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.