K. Sadasivan Pillai
- Co-authors
- Saravanan MuniyandyKesavan BhaskarPrithvi MurthyKatsumi KobayashiJayaraman AnbuV SivakumarHalagowder DevarajJ. Thanislass
- Topics
- Advanced Drug Delivery Systems (4 papers)Computational Drug Discovery Methods (3 papers)Nanoparticle-Based Drug Delivery (3 papers)
In The Last Decade
K. Sadasivan Pillai
19 papers receiving 365 citations
Peers
Comparison fields: 5 of 89
- Pharmaceutical Science 123
- Biomaterials 90
- Molecular Biology 81
- Biomedical Engineering 50
- Food Science 44
Countries citing papers authored by K. Sadasivan Pillai
This map shows the geographic impact of K. Sadasivan Pillai'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 K. Sadasivan Pillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Sadasivan Pillai more than expected).
Fields of papers citing papers by K. Sadasivan Pillai
This network shows the impact of papers produced by K. Sadasivan Pillai. 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 K. Sadasivan Pillai. The network helps show where K. Sadasivan Pillai may publish in the future.
Co-authorship network of co-authors of K. Sadasivan Pillai
This figure shows the co-authorship network connecting the top 25 collaborators of K. Sadasivan Pillai. A scholar is included among the top collaborators of K. Sadasivan Pillai 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 K. Sadasivan Pillai. K. Sadasivan Pillai 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 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 15 | |
| 11 | Screening of hepatoprotective effect of a herbal mixture against CCl4 induced hepatotoxicity in Swiss albino mice. | 21 |
| 12 | 103 | |
| 13 | Hypolipidemic effect of Coriandrum sativum L. in triton-induced hyperlipidemic rats. | 54 |
| 14 | Applied Statistics in Toxicology and Pharmacology | 4 |
| 15 | Diclofenac sodium loaded gelatin magnetic microspheres for intra-arterial administration: formulation, characterization and in vitro release studies. | 3 |
| 16 | 61 | |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 16 | |
| 20 | 15 |
About K. Sadasivan Pillai
K. Sadasivan Pillai is a scholar working on Pharmaceutical Science, Biochemistry and Small Animals, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (4 papers), Computational Drug Discovery Methods (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Pharmaceutical Science (123 citations), Biomaterials (90 citations) and Drug Discovery (1 citation). K. Sadasivan Pillai has collaborated with scholars based in India, Japan and Malaysia. Frequent co-authors include Saravanan Muniyandy, Kesavan Bhaskar, Prithvi Murthy, Katsumi Kobayashi, Jayaraman Anbu, V Sivakumar, Halagowder Devaraj, J. Thanislass, Eiichi Kamata and Yuki Sakuratani. Their work appears in journals such as International Journal of Pharmaceutics, Cancer Letters and Toxicology Letters.
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.