Purvi Shah
- Co-authors
- Kalpana PatelTejal GandhiInder Pal SinghVaishali ThakkarMukesh GohelSmita KulkarniKamlesh K. BhutaniTejal Soni
- Topics
- Analytical Methods in Pharmaceuticals (19 papers)Analytical Chemistry and Chromatography (13 papers)Drug Solubulity and Delivery Systems (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe FASEB JournalJournal of Food Science
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Purvi Shah
46 papers receiving 510 citations
Peers
Comparison fields: 5 of 96
- Analytical Chemistry 166
- Organic Chemistry 138
- Spectroscopy 122
- Molecular Biology 105
- Pharmacology 84
Countries citing papers authored by Purvi Shah
This map shows the geographic impact of Purvi Shah'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 Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purvi Shah more than expected).
Fields of papers citing papers by Purvi Shah
This network shows the impact of papers produced by Purvi Shah. 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 Shah. The network helps show where Purvi Shah may publish in the future.
Co-authorship network of co-authors of Purvi Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Purvi Shah. A scholar is included among the top collaborators of Purvi Shah 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 Shah. Purvi Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 21 | |
| 5 | 36 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 80 | |
| 12 | 43 | |
| 13 | Two novel spectrophotometric methods for determination of ternary mixture used as antihypertensive therapy in combined tablet dosage formulation | 1 |
| 14 | Development and validation of spectrofluorimetric method for estimation of ivabradine hydrochloride in marketed formulationand its applicability in plasma | 2 |
| 15 | 0 | |
| 16 | VALIDATION OF A DISSOLUTION METHOD WITH HPLC-UV ANALYSIS FOR ESTIMATION OF OLMESARTAN MEDOXOMIL, AMLODIPINE BESYLATE AND HYDROCHLOROTHIAZIDE IN TABLET DOSAGE FORMULATION | 1 |
| 17 | Spectroflourimetric determination of venlafaxine hydrochloride and odesmethylvenlafaxine in marketed formulations | 0 |
| 18 | 5 | |
| 19 | 14 | |
| 20 | 1 |
About Purvi Shah
Purvi Shah is a scholar working on Analytical Chemistry, Pharmaceutical Science and Pharmacology, having authored 54 papers that have together received 550 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (19 papers), Analytical Chemistry and Chromatography (13 papers) and Drug Solubulity and Delivery Systems (7 papers). The work is most often cited by research in Analytical Chemistry (166 citations), Pharmaceutical Science (64 citations) and Spectroscopy (122 citations). Purvi Shah has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Kalpana Patel, Tejal Gandhi, Inder Pal Singh, Vaishali Thakkar, Mukesh Gohel, Smita Kulkarni, Kamlesh K. Bhutani, Tejal Soni, Mihir Parmar and Sanjay Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Journal of Food Science.
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.