Ramya Preethi Surendran
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Molecular Biology
- Cancer Research
- Co-authors
- Erik S.G. StroesGeesje M. Dallinga‐ThieRobert A. HegeleJorge PeterMaryam HosseiniJohn J.P. KasteleinJan Albert KuivenhovenSteffie Heemelaar
- Topics
- Lipid metabolism and disorders (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Metabolism, Diabetes, and Cancer (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Partner nations
- NetherlandsNorwayUnited States
In The Last Decade
Ramya Preethi Surendran
8 papers receiving 319 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 201
- Endocrinology, Diabetes and Metabolism 127
- Surgery 92
- Molecular Biology 86
- Cancer Research 56
Countries citing papers authored by Ramya Preethi Surendran
This map shows the geographic impact of Ramya Preethi Surendran'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 Ramya Preethi Surendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Preethi Surendran more than expected).
Fields of papers citing papers by Ramya Preethi Surendran
This network shows the impact of papers produced by Ramya Preethi Surendran. 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 Ramya Preethi Surendran. The network helps show where Ramya Preethi Surendran may publish in the future.
Co-authorship network of co-authors of Ramya Preethi Surendran
This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Preethi Surendran. A scholar is included among the top collaborators of Ramya Preethi Surendran 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 Ramya Preethi Surendran. Ramya Preethi Surendran 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 | 0 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 27 | |
| 8 | 179 | |
| 9 | 52 | |
| 10 | 31 |
About Ramya Preethi Surendran
Ramya Preethi Surendran is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Insect Science, having authored 10 papers that have together received 321 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (201 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Cancer Research (56 citations). Ramya Preethi Surendran has collaborated with scholars based in Netherlands, Norway and United States. Frequent co-authors include Erik S.G. Stroes, Geesje M. Dallinga‐Thie, Robert A. Hegele, Jorge Peter, Maryam Hosseini, John J.P. Kastelein, Jan Albert Kuivenhoven, Steffie Heemelaar, Joep C. Defesche and Miklós Péterfy. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and International Journal of Biological Macromolecules.
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.