Heta Parmar
Impact in
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- Tuberculosis Research and Epidemiology
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- Mycobacterium research and diagnosis
- Pneumonia and Respiratory Infections
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
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- Tuberculosis Research and Epidemiology 3
- SARS-CoV-2 detection and testing 1
- SARS-CoV-2 and COVID-19 Research 1
- COVID-19 Clinical Research Studies 1
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- Mycobacterium research and diagnosis 3
- Co-authors
- David Alland (3 shared papers)David H. Persing (2 shared papers)Robert Kwiatkowski (2 shared papers)Soumitesh Chakravorty (2 shared papers)Claudia M. Denkinger (2 shared papers)Sophia B. Georghiou (2 shared papers)Simone Battaglia (1 shared paper)Rajiv L. Gaur (1 shared paper)
- Journals
- Journal of Clinical Microbiology (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)BMC Infectious Diseases (1 paper)The Journal of Applied Laboratory Medicine (1 paper)International Journal of Current Microbiology and Applied Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Heta Parmar
6 papers receiving 102 citations
Peers
Comparison fields: 5 of 31
- Infectious Diseases 86
- Epidemiology 69
- Molecular Medicine 7
- Parasitology 5
- Surgery 26
Countries citing papers authored by Heta Parmar
This map shows the geographic impact of Heta Parmar'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 Heta Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heta Parmar more than expected).
Fields of papers citing papers by Heta Parmar
This network shows the impact of papers produced by Heta Parmar. 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 Heta Parmar. The network helps show where Heta Parmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Heta Parmar, 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 | 2020 | 57 | |
| 2 | 2021 | 12 | |
| 3 | 2022 | 11 | |
| 4 | 2019 | 10 | |
| 5 | 2020 | 7 | |
| 6 | 2017 | 6 |
About Heta Parmar
Heta Parmar is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Soil Science, having authored 6 papers that have together received 103 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Diagnosis and treatment of tuberculosis (1 paper), Leptospirosis research and findings (1 paper), Molecular Biology Techniques and Applications (1 paper), SARS-CoV-2 detection and testing (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (86 citations), Epidemiology (69 citations), Molecular Medicine (7 citations), Parasitology (5 citations) and Surgery (26 citations). Heta Parmar has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include David Alland, David H. Persing, Robert Kwiatkowski, Soumitesh Chakravorty, Claudia M. Denkinger, Sophia B. Georghiou, Simone Battaglia, Rajiv L. Gaur, Daniela María Cirillo and Michael V. O’Shaughnessy. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, BMC Infectious Diseases, The Journal of Applied Laboratory Medicine and International Journal of Current Microbiology and Applied Sciences.
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.