Purvi Trivedi
- Molecular Biology
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology top 10%
- Physiology top 2%
- Co-authors
- Thomas PulinilkunnilJ. BartlettPetra C. KienesbergerPollen YeungKeith R. BruntAnsar HassanLester J. PérezGovind Vyas
- Topics
- Autophagy in Disease and Therapy (4 papers)Calcium signaling and nucleotide metabolism (4 papers)Nematode management and characterization studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Purvi Trivedi
14 papers receiving 734 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 342
- Epidemiology 213
- Cardiology and Cardiovascular Medicine 204
- Cell Biology 122
- Physiology 118
Countries citing papers authored by Purvi Trivedi
This map shows the geographic impact of Purvi Trivedi'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 Purvi Trivedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purvi Trivedi more than expected).
Fields of papers citing papers by Purvi Trivedi
This network shows the impact of papers produced by Purvi Trivedi. 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 Purvi Trivedi. The network helps show where Purvi Trivedi may publish in the future.
Co-authorship network of co-authors of Purvi Trivedi
This figure shows the co-authorship network connecting the top 25 collaborators of Purvi Trivedi. A scholar is included among the top collaborators of Purvi Trivedi 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 Purvi Trivedi. Purvi Trivedi 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 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 15 | |
| 6 | 190 | |
| 7 | 20 | |
| 8 | 44 | |
| 9 | 45 | |
| 10 | 181 | |
| 11 | 17 | |
| 12 | 62 | |
| 13 | 107 | |
| 14 | Traditional and novel references towards systematic normalization of qRT-PCR data in plants | 43 |
| 15 | Application of molecular biology in nematology. | 2 |
| 16 | Plants and their products act as major nematode inhibitory agents. | 5 |
| 17 | Nematodes as biological model. | 0 |
| 18 | Race status in plant parasitic nematodes. | 1 |
About Purvi Trivedi
Purvi Trivedi is a scholar working on Physiology, Applied Microbiology and Biotechnology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 742 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Calcium signaling and nucleotide metabolism (4 papers) and Nematode management and characterization studies (3 papers). The work is most often cited by research in Physiology (118 citations), Cardiology and Cardiovascular Medicine (204 citations) and Biophysics (46 citations). Purvi Trivedi has collaborated with scholars based in Canada, Austria and Italy. Frequent co-authors include Thomas Pulinilkunnil, J. Bartlett, Petra C. Kienesberger, Pollen Yeung, Keith R. Brunt, Ansar Hassan, Lester J. Pérez, Govind Vyas, Vishal Khandelwal and Kenneth D’Souza. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.