S.R. Aparna
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
- Microbial Natural Products and Biosynthesis
Papers in
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- Health, Environment, Cognitive Aging 3
- Effects and risks of endocrine disrupting chemicals 1
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- Metabolomics and Mass Spectrometry Studies 1
- Plant biochemistry and biosynthesis 1
- Co-authors
- Areejit Samal (5 shared papers)Bagavathy Shanmugam Karthikeyan (5 shared papers)Karthikeyan Mohanraj (1 shared paper)R.P. Vivek-Ananth (1 shared paper)Ramesh Chand (1 shared paper)Janani Ravichandran (4 shared papers)
- Journals
- Chemosphere (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)Scientific Reports (1 paper)Journal of Biomedical and Pharmaceutical Research (1 paper)
- Partner nations
- India
In The Last Decade
S.R. Aparna
6 papers receiving 479 citations
S.R. Aparna's Hit Papers
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 207
- Pharmacology 68
- Complementary and alternative medicine 57
- Toxicology 18
- Pharmacology 60
Countries citing papers authored by S.R. Aparna
This map shows the geographic impact of S.R. Aparna'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 S.R. Aparna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.R. Aparna more than expected).
Fields of papers citing papers by S.R. Aparna
This network shows the impact of papers produced by S.R. Aparna. 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 S.R. Aparna. The network helps show where S.R. Aparna may publish in the future.
Co-authors
The 6 scholars most cited alongside S.R. Aparna, 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 | IMPPAT: A curated database of Indian Medicinal Plants, Phytochemistry And Therapeutics Hit paper breakdown → | 2018 | 427 |
| 2 | 2020 | 31 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 4 | |
| 6 | HPTLC FINGERPRINT PROFILE OF STEROIDAL CONSTITUENTS OF ACHYRANTHES ASPERA LINN. | 2014 | 2 |
About S.R. Aparna
S.R. Aparna is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Computational Theory and Mathematics, Surgery and Small Animals, having authored 6 papers that have together received 487 indexed citations. Recurring topics across this work include Health, Environment, Cognitive Aging (3 papers), Computational Drug Discovery Methods (2 papers), Effects and risks of endocrine disrupting chemicals (1 paper), Natural Antidiabetic Agents Studies (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Cholesterol and Lipid Metabolism (1 paper), Medicinal Plant Research (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (207 citations), Pharmacology (68 citations), Complementary and alternative medicine (57 citations), Toxicology (18 citations) and Pharmacology (60 citations). S.R. Aparna has collaborated with scholars based in India. Frequent co-authors include Areejit Samal, Bagavathy Shanmugam Karthikeyan, Karthikeyan Mohanraj, R.P. Vivek-Ananth, Ramesh Chand and Janani Ravichandran. Their work appears in journals such as Chemosphere, The Journal of Steroid Biochemistry and Molecular Biology, Scientific Reports and Journal of Biomedical and Pharmaceutical Research.
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.