Ajita Mehta
- Infectious Diseases top 1%
- Epidemiology top 5%
- Surgery top 10%
- Molecular Biology
- Clinical Biochemistry top 5%
- Co-authors
- Camilla RodriguesShubhada ShenaiAjit LalvaniPunam NagvenkarZarir UdwadiaKatie EwerKatalin A. WilkinsonAdrian V. S. Hill
- Topics
- Mycobacterium research and diagnosis (15 papers)Tuberculosis Research and Epidemiology (13 papers)Antibiotic Resistance in Bacteria (7 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaClinical Infectious Diseases
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Ajita Mehta
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 1.0k
- Epidemiology 786
- Surgery 414
- Molecular Biology 225
- Clinical Biochemistry 136
Countries citing papers authored by Ajita Mehta
This map shows the geographic impact of Ajita Mehta'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 Ajita Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajita Mehta more than expected).
Fields of papers citing papers by Ajita Mehta
This network shows the impact of papers produced by Ajita Mehta. 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 Ajita Mehta. The network helps show where Ajita Mehta may publish in the future.
Co-authorship network of co-authors of Ajita Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Ajita Mehta. A scholar is included among the top collaborators of Ajita Mehta 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 Ajita Mehta. Ajita Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 39 | |
| 3 | 8 | |
| 4 | 23 | |
| 5 | 60 | |
| 6 | 32 | |
| 7 | 33 | |
| 8 | 22 | |
| 9 | International Nosocomial Infection Control Consortium report, data summary for 2002-2007, issued January 2008 | 164 |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 69 | |
| 15 | 47 | |
| 16 | Comparing serology, antigenemia assay and polymerase chain reaction for the diagnosis of cytomegalovirus infection in renal transplant patients. | 16 |
| 17 | 13 | |
| 18 | 74 | |
| 19 | 298 | |
| 20 | 8 |
About Ajita Mehta
Ajita Mehta is a scholar working on Molecular Medicine, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (15 papers), Tuberculosis Research and Epidemiology (13 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Applied Microbiology and Biotechnology (72 citations) and Molecular Medicine (131 citations). Ajita Mehta has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Camilla Rodrigues, Shubhada Shenai, Ajit Lalvani, Punam Nagvenkar, Zarir Udwadia, Katie Ewer, Katalin A. Wilkinson, Adrian V. S. Hill, Jayanthi Shastri and Ansar A. Pathan. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.
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.