Thamilvaani Manaharan
- Endocrinology, Diabetes and Metabolism top 5%
- Plant Science top 10%
- Biochemistry top 2%
- Molecular Biology
- Food Science top 10%
- Co-authors
- Uma Devi PalanisamyDavid R. AppletonMing ChengHwee Ming ChengAmmu Kutty RadhakrishnanAmir Feisal MericanThavamanithevi SubramaniamUmah Rani Kuppusamy
- Topics
- Natural Antidiabetic Agents Studies (8 papers)Phytochemicals and Antioxidant Activities (5 papers)Essential Oils and Antimicrobial Activity (4 papers)
In The Last Decade
Thamilvaani Manaharan
20 papers receiving 593 citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 243
- Plant Science 210
- Biochemistry 205
- Molecular Biology 147
- Food Science 133
Countries citing papers authored by Thamilvaani Manaharan
This map shows the geographic impact of Thamilvaani Manaharan'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 Thamilvaani Manaharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thamilvaani Manaharan more than expected).
Fields of papers citing papers by Thamilvaani Manaharan
This network shows the impact of papers produced by Thamilvaani Manaharan. 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 Thamilvaani Manaharan. The network helps show where Thamilvaani Manaharan may publish in the future.
Co-authorship network of co-authors of Thamilvaani Manaharan
This figure shows the co-authorship network connecting the top 25 collaborators of Thamilvaani Manaharan. A scholar is included among the top collaborators of Thamilvaani Manaharan 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 Thamilvaani Manaharan. Thamilvaani Manaharan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 9 | |
| 9 | Ginger oil-mediated down-regulation of adipocyte specific genes inhibits adipogenesis and induces apoptosis in 3T3-L1 adipocytes | 3 |
| 10 | 5 | |
| 11 | 41 | |
| 12 | 29 | |
| 13 | 13 | |
| 14 | 47 | |
| 15 | 41 | |
| 16 | 17 | |
| 17 | 79 | |
| 18 | 64 | |
| 19 | 48 | |
| 20 | 160 |
About Thamilvaani Manaharan
Thamilvaani Manaharan is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 20 papers that have together received 617 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (8 papers), Phytochemicals and Antioxidant Activities (5 papers) and Essential Oils and Antimicrobial Activity (4 papers). The work is most often cited by research in Biochemistry (205 citations), Endocrinology, Diabetes and Metabolism (243 citations) and Pharmacology (86 citations). Thamilvaani Manaharan has collaborated with scholars based in Malaysia, Australia and India. Frequent co-authors include Uma Devi Palanisamy, David R. Appleton, Ming Cheng, Hwee Ming Cheng, Ammu Kutty Radhakrishnan, Amir Feisal Merican, Thavamanithevi Subramaniam, Umah Rani Kuppusamy, M. S. Kanthimathi and Kek Heng Chua. Their work appears in journals such as Food Chemistry, Molecules and Food Research International.
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.