Maya Ramdas

779 total citations
8 papers, 650 citations indexed

About

Maya Ramdas is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, Maya Ramdas has authored 8 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Maya Ramdas's work include Biochemical effects in animals (3 papers), Advanced Glycation End Products research (3 papers) and Natural Antidiabetic Agents Studies (2 papers). Maya Ramdas is often cited by papers focused on Biochemical effects in animals (3 papers), Advanced Glycation End Products research (3 papers) and Natural Antidiabetic Agents Studies (2 papers). Maya Ramdas collaborates with scholars based in United States, Israel and India. Maya Ramdas's co-authors include Helen Vlassara, Weijing Cai, Gary E. Striker, Li Zhu, Xue Chen, Renata Pyzik, Jaime Uribarri, Susan Goodman, Michal Armoni and Eddy Karnieli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes Care and Amino Acids.

In The Last Decade

Maya Ramdas

8 papers receiving 643 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maya Ramdas United States	7	418	298	170	113	88	8	650
Bantwal Suresh Baliga United States	5	445 1.1×	270 0.9×	160 0.9×	70 0.6×	86 1.0×	5	664
Nicolas Grossin France	12	358 0.9×	177 0.6×	118 0.7×	85 0.8×	75 0.9×	20	622
Pilar Martı́n-Gallán Spain	11	173 0.4×	159 0.5×	135 0.8×	161 1.4×	84 1.0×	12	1.2k
María Pilar Navarro Spain	12	318 0.8×	144 0.5×	154 0.9×	138 1.2×	109 1.2×	25	586
Sebastiano Lizzio Italy	7	106 0.3×	273 0.9×	156 0.9×	74 0.7×	87 1.0×	8	612
Laurie Tansman United States	3	319 0.8×	213 0.7×	104 0.6×	18 0.2×	74 0.8×	3	405
T Koschinsky Germany	7	975 2.3×	721 2.4×	271 1.6×	120 1.1×	128 1.5×	12	1.3k
H Thomason United Kingdom	6	101 0.2×	116 0.4×	109 0.6×	111 1.0×	149 1.7×	6	605
Angélica Saraí Jiménez‐Osorio Mexico	13	78 0.2×	139 0.5×	169 1.0×	259 2.3×	57 0.6×	29	689
Debora Nigro Italy	13	116 0.3×	265 0.9×	233 1.4×	276 2.4×	40 0.5×	15	745

Countries citing papers authored by Maya Ramdas

Since Specialization

Citations

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

Fields of papers citing papers by Maya Ramdas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Ramdas

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Ramdas, Maya, Siddhartha Sharma, Deepak Kaul, & Alka Bhatia. (2018). Possible role of miR-2909 RNomics in arsenic mediated pancreatic β-cell dysfunction. Journal of Trace Elements in Medicine and Biology. 50. 263–267. 11 indexed citations

Ramdas, Maya, et al.. (2016). Regulation of the cardioprotective adiponectin and its receptor AdipoR1 by salt. Canadian Journal of Physiology and Pharmacology. 95(3). 305–309. 2 indexed citations

Ramdas, Maya, Chava Harel, Michal Armoni, & Eddy Karnieli. (2014). AHNAK KO Mice are Protected from Diet-Induced Obesity but are Glucose Intolerant. Hormone and Metabolic Research. 47(4). 265–272. 18 indexed citations

Armoni, Michal, Chava Harel, Maya Ramdas, & Eddy Karnieli. (2014). CYP2E1 Impairs GLUT4 Gene Expression and Function: NRF2 as a Possible Mediator. Hormone and Metabolic Research. 46(7). 477–483. 11 indexed citations

Uribarri, Jaime, Weijing Cai, Renata Pyzik, et al.. (2013). Suppression of native defense mechanisms, SIRT1 and PPARγ, by dietary glycoxidants precedes disease in adult humans; relevance to lifestyle-engendered chronic diseases. Amino Acids. 46(2). 301–309. 61 indexed citations

Gul, Rukhsana, Maya Ramdas, Chirag Mandavia, James R. Sowers, & Lakshmi Pulakat. (2012). RAS-Mediated Adaptive Mechanisms in Cardiovascular Tissues: Confounding Factors of RAS Blockade Therapy and Alternative Approaches. Cardiorenal Medicine. 2(4). 268–280. 13 indexed citations

Cai, Weijing, Maya Ramdas, Li Zhu, et al.. (2012). Oral advanced glycation endproducts (AGEs) promote insulin resistance and diabetes by depleting the antioxidant defenses AGE receptor-1 and sirtuin 1. Proceedings of the National Academy of Sciences. 109(39). 15888–15893. 262 indexed citations

Uribarri, Jaime, Weijing Cai, Maya Ramdas, et al.. (2011). Restriction of Advanced Glycation End Products Improves Insulin Resistance in Human Type 2 Diabetes. Diabetes Care. 34(7). 1610–1616. 272 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.

Explore authors with similar magnitude of impact