Natarajan Ashokkumar
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Biochemistry top 5%
- Complementary and alternative medicine top 5%
- Physiology
- Co-authors
- Leelavinothan PariSubramani SrinivasanKrishnamoorthy KarthikesanKunga Mohan RamkumarSangeetha NagarajanJacob WekalaoShobhit K. PatelAnanthan Rajendran
- Topics
- Natural Antidiabetic Agents Studies (16 papers)Metabolism, Diabetes, and Cancer (7 papers)Diet, Metabolism, and Disease (5 papers)
- Journals
- Journal of The Electrochemical SocietyEuropean Journal of PharmacologyBiotechnology and Bioengineering
- Partner nations
- IndiaUnited States
In The Last Decade
Natarajan Ashokkumar
28 papers receiving 664 citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 273
- Molecular Biology 230
- Biochemistry 131
- Complementary and alternative medicine 79
- Physiology 74
Countries citing papers authored by Natarajan Ashokkumar
This map shows the geographic impact of Natarajan Ashokkumar'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 Natarajan Ashokkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natarajan Ashokkumar more than expected).
Fields of papers citing papers by Natarajan Ashokkumar
This network shows the impact of papers produced by Natarajan Ashokkumar. 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 Natarajan Ashokkumar. The network helps show where Natarajan Ashokkumar may publish in the future.
Co-authorship network of co-authors of Natarajan Ashokkumar
This figure shows the co-authorship network connecting the top 25 collaborators of Natarajan Ashokkumar. A scholar is included among the top collaborators of Natarajan Ashokkumar 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 Natarajan Ashokkumar. Natarajan Ashokkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 79 | |
| 4 | 12 | |
| 5 | 30 | |
| 6 | 71 | |
| 7 | Antihyperlipidemic effect of Esculetin on lipid metabolism in experimental diabetic rats | 1 |
| 8 | 59 | |
| 9 | 46 | |
| 10 | 23 | |
| 11 | 100 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | 7 | |
| 19 | 27 | |
| 20 | 31 |
About Natarajan Ashokkumar
Natarajan Ashokkumar is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and Manual Therapy and Clinical Biochemistry, having authored 28 papers that have together received 692 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (16 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Biochemistry (131 citations), Endocrinology, Diabetes and Metabolism (273 citations) and Complementary and alternative medicine (79 citations). Natarajan Ashokkumar has collaborated with scholars based in India and United States. Frequent co-authors include Leelavinothan Pari, Subramani Srinivasan, Krishnamoorthy Karthikesan, Kunga Mohan Ramkumar, Sangeetha Nagarajan, Jacob Wekalao, Shobhit K. Patel, Ananthan Rajendran, Muniappan Latha and Ch. Appa Rao. Their work appears in journals such as Journal of The Electrochemical Society, European Journal of Pharmacology and Biotechnology and Bioengineering.
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.