Ashna Ramkisoensing

942 total citations
11 papers, 661 citations indexed

About

Ashna Ramkisoensing is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ashna Ramkisoensing has authored 11 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrine and Autonomic Systems, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Ashna Ramkisoensing's work include Circadian rhythm and melatonin (10 papers), Photoreceptor and optogenetics research (5 papers) and Sleep and Wakefulness Research (3 papers). Ashna Ramkisoensing is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Photoreceptor and optogenetics research (5 papers) and Sleep and Wakefulness Research (3 papers). Ashna Ramkisoensing collaborates with scholars based in Netherlands, United Kingdom and China. Ashna Ramkisoensing's co-authors include Johanna H. Meijer, Claudia P. Coomans, Jos H. T. Rohling, Tom Deboer, Stephan Michel, Henk Tjebbe vanderLeest, Thijs Houben, Sahar Farajnia, Hester C. van Diepen and Sander Kooijman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ashna Ramkisoensing

10 papers receiving 658 citations

Peers

Ashna Ramkisoensing
Ashna Ramkisoensing
Citations per year, relative to Ashna Ramkisoensing Ashna Ramkisoensing (= 1×) peers Natalí N. Guerrero‐Vargas

Countries citing papers authored by Ashna Ramkisoensing

Since Specialization
Citations

This map shows the geographic impact of Ashna Ramkisoensing'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 Ashna Ramkisoensing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashna Ramkisoensing more than expected).

Fields of papers citing papers by Ashna Ramkisoensing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashna Ramkisoensing. 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 Ashna Ramkisoensing. The network helps show where Ashna Ramkisoensing may publish in the future.

Co-authorship network of co-authors of Ashna Ramkisoensing

This figure shows the co-authorship network connecting the top 25 collaborators of Ashna Ramkisoensing. A scholar is included among the top collaborators of Ashna Ramkisoensing 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 Ashna Ramkisoensing. Ashna Ramkisoensing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Diepen, Hester C. van, et al.. (2021). Distinct contribution of cone photoreceptor subtypes to the mammalian biological clock. Proceedings of the National Academy of Sciences. 118(22). 24 indexed citations
2.
Schilperoort, Maaike, Rosa van den Berg, Claudia P. Coomans, et al.. (2020). Continuous Light Does Not Affect Atherosclerosis in APOE*3-Leiden.CETP Mice. Journal of Biological Rhythms. 35(6). 598–611. 4 indexed citations
3.
Noordam, Raymond, Ashna Ramkisoensing, Nellie Y. Loh, et al.. (2019). Associations of Outdoor Temperature, Bright Sunlight, and Cardiometabolic Traits in Two European Population-Based Cohorts. The Journal of Clinical Endocrinology & Metabolism. 104(7). 2903–2910. 15 indexed citations
4.
Berbée, Jimmy F.P., Rosa van den Berg, Sander Kooijman, et al.. (2016). Abstract 224: Biological Clock Strongly Regulates Brown Adipose Tissue Activity: Implications for Postprandial Triglyceride Metabolism. Arteriosclerosis Thrombosis and Vascular Biology. 36(suppl_1).
5.
Ramkisoensing, Ashna & Johanna H. Meijer. (2015). Synchronization of Biological Clock Neurons by Light and Peripheral Feedback Systems Promotes Circadian Rhythms and Health. Frontiers in Neurology. 6. 128–128. 101 indexed citations
6.
Kooijman, Sander, Rosa van den Berg, Ashna Ramkisoensing, et al.. (2015). Prolonged daily light exposure increases body fat mass through attenuation of brown adipose tissue activity. Proceedings of the National Academy of Sciences. 112(21). 6748–6753. 121 indexed citations
7.
Coomans, Claudia P., Ashna Ramkisoensing, & Johanna H. Meijer. (2014). The suprachiasmatic nuclei as a seasonal clock. Frontiers in Neuroendocrinology. 37. 29–42. 111 indexed citations
8.
Ramkisoensing, Ashna, Changgui Gu, Stephan Michel, et al.. (2014). Enhanced Phase Resetting in the Synchronized Suprachiasmatic Nucleus Network. Journal of Biological Rhythms. 29(1). 4–15. 18 indexed citations
9.
Gu, Changgui, Ashna Ramkisoensing, Zonghua Liu, Johanna H. Meijer, & Jos H. T. Rohling. (2014). The Proportion of Light-Responsive Neurons Determines the Limit Cycle Properties of the Suprachiasmatic Nucleus. Journal of Biological Rhythms. 29(1). 16–27. 37 indexed citations
10.
Diepen, Hester C. van, Ashna Ramkisoensing, Stuart N. Peirson, F. Foster, & Johanna H. Meijer. (2013). Irradiance encoding in the suprachiasmatic nuclei by rod and cone photoreceptors. The FASEB Journal. 27(10). 4204–4212. 44 indexed citations
11.
Farajnia, Sahar, Stephan Michel, Tom Deboer, et al.. (2012). Evidence for Neuronal Desynchrony in the Aged Suprachiasmatic Nucleus Clock. Journal of Neuroscience. 32(17). 5891–5899. 186 indexed citations

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.

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