Rimi Shukla
- Endocrinology, Diabetes and Metabolism top 5%
- Plant Science
- Complementary and alternative medicine top 5%
- Molecular Biology
- Clinical Biochemistry top 5%
- Co-authors
- Jasvinder K. GambhirK. M. PrabhuSri Venkata MadhuKirtikar ShuklaShweta GuptaP. S. MurthyMohit MehndirattaPramod Kumari Mediratta
- Topics
- Natural Antidiabetic Agents Studies (11 papers)Phytochemicals and Medicinal Plants (4 papers)Medicinal Plants and Neuroprotection (3 papers)
In The Last Decade
Rimi Shukla
18 papers receiving 652 citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 277
- Plant Science 144
- Complementary and alternative medicine 133
- Molecular Biology 126
- Clinical Biochemistry 121
Countries citing papers authored by Rimi Shukla
This map shows the geographic impact of Rimi Shukla'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 Rimi Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rimi Shukla more than expected).
Fields of papers citing papers by Rimi Shukla
This network shows the impact of papers produced by Rimi Shukla. 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 Rimi Shukla. The network helps show where Rimi Shukla may publish in the future.
Co-authorship network of co-authors of Rimi Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Rimi Shukla. A scholar is included among the top collaborators of Rimi Shukla 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 Rimi Shukla. Rimi Shukla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 33 | |
| 3 | 13 | |
| 4 | 16 | |
| 5 | 23 | |
| 6 | Hypolipidemic and antioxidant activity of aqueous extract of fruit of Withania coagulans (Stocks) Dunal in cholesterol-fed hyperlipidemic rabbit model. | 11 |
| 7 | 63 | |
| 8 | 30 | |
| 9 | 39 | |
| 10 | 24 | |
| 11 | 17 | |
| 12 | Antidiabetic, antihypercholesterolaemic and antioxidant effect of Ocimum sanctum (Linn) seed oil. | 69 |
| 13 | 49 | |
| 14 | 101 | |
| 15 | 187 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 23 |
About Rimi Shukla
Rimi Shukla is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Complementary and alternative medicine, having authored 18 papers that have together received 729 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (11 papers), Phytochemicals and Medicinal Plants (4 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Clinical Biochemistry (121 citations), Endocrinology, Diabetes and Metabolism (277 citations) and Complementary and alternative medicine (133 citations). Rimi Shukla has collaborated with scholars based in India and Canada. Frequent co-authors include Jasvinder K. Gambhir, K. M. Prabhu, Sri Venkata Madhu, Kirtikar Shukla, Shweta Gupta, P. S. Murthy, Mohit Mehndiratta, Pramod Kumari Mediratta, K. K. Sharma and Surender Singh. Their work appears in journals such as Journal of Ethnopharmacology, Food and Chemical Toxicology and Clinica Chimica Acta.
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.