Chitra Khanwelkar
- Pharmacology
- Molecular Medicine top 10%
- Molecular Biology
- Rheumatology
- Pharmacology top 10%
- Co-authors
- Amol SheteKailas D. DatkhileS.B. BhiseVaishali R. MohiteAjay B. PatilRoopal DesaiRohan Phatak
- Topics
- Natural Antidiabetic Agents Studies (6 papers)Antioxidants, Aging, Portulaca oleracea (4 papers)Morinda citrifolia extract uses (4 papers)
- Partner nations
- India
In The Last Decade
Chitra Khanwelkar
32 papers receiving 272 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 81
- Molecular Medicine 69
- Molecular Biology 60
- Rheumatology 56
- Pharmacology 47
Countries citing papers authored by Chitra Khanwelkar
This map shows the geographic impact of Chitra Khanwelkar'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 Chitra Khanwelkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chitra Khanwelkar more than expected).
Fields of papers citing papers by Chitra Khanwelkar
This network shows the impact of papers produced by Chitra Khanwelkar. 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 Chitra Khanwelkar. The network helps show where Chitra Khanwelkar may publish in the future.
Co-authorship network of co-authors of Chitra Khanwelkar
This figure shows the co-authorship network connecting the top 25 collaborators of Chitra Khanwelkar. A scholar is included among the top collaborators of Chitra Khanwelkar 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 Chitra Khanwelkar. Chitra Khanwelkar 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 | 11 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Antidiabetic effect of Murraya koenigii leaves aqueous extract on blood sugar levels in alloxanized diabetic rats. | 1 |
| 7 | 88 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | Quantitative estimation of tannins by HPLC | 9 |
| 13 | In vitro study of cytotoxic activity of the different extracts of the tubers of Pueraria tuberosa | 1 |
| 14 | Drug Utilization Study on Antimicrobial Use in Urinary Tract Infection | 2 |
| 15 | 5 | |
| 16 | EFFECT OF POLOXAMER 407 ON THE SERUM CHOLESTEROL AND TRIGLYCERIDE OF RABBITS | 1 |
| 17 | Drug Utilization Study on Antibiotics Use in Lower Respiratory Tract Infection | 8 |
| 18 | Role of Phyllanthus amarus treatment in Hepatitis-C | 10 |
| 19 | 18 | |
| 20 | Effects of H1–receptor antagonists in antidepressant tests in rats | 1 |
About Chitra Khanwelkar
Chitra Khanwelkar is a scholar working on Pharmacology, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 41 papers that have together received 286 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (6 papers), Antioxidants, Aging, Portulaca oleracea (4 papers) and Morinda citrifolia extract uses (4 papers). The work is most often cited by research in Molecular Medicine (69 citations), Applied Microbiology and Biotechnology (13 citations) and Drug Discovery (1 citation). Chitra Khanwelkar has collaborated with scholars based in India. Frequent co-authors include Amol Shete, Kailas D. Datkhile, S.B. Bhise, Vaishali R. Mohite, Ajay B. Patil, Roopal Desai and Rohan Phatak. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine and Trials.
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.