Megan E. Ramaker

408 total citations
8 papers, 55 citations indexed

About

Megan E. Ramaker is a scholar working on Physiology, Genetics and Molecular Biology. According to data from OpenAlex, Megan E. Ramaker has authored 8 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Megan E. Ramaker's work include Diet and metabolism studies (4 papers), Genomics and Rare Diseases (2 papers) and Diabetes and associated disorders (2 papers). Megan E. Ramaker is often cited by papers focused on Diet and metabolism studies (4 papers), Genomics and Rare Diseases (2 papers) and Diabetes and associated disorders (2 papers). Megan E. Ramaker collaborates with scholars based in United States, Norway and Canada. Megan E. Ramaker's co-authors include Kim M. Huffman, Michael J. Muehlbauer, Olga Ilkayeva, Michael Freemark, William E. Kraus, Michael S. Kobor, Daniel W. Belsky, James R. Bain, Reem Waziry and Virginia B. Kraus and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and The Journals of Gerontology Series A.

In The Last Decade

Megan E. Ramaker

7 papers receiving 54 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan E. Ramaker United States	5	23	20	18	14	12	8	55
Naama Fisch Shvalb Israel	5	7 0.3×	25 1.3×	22 1.2×	11 0.8×	5 0.4×	13	56
Manonanthini Thangam India	4	15 0.7×	16 0.8×	16 0.9×	34 2.4×	7 0.6×	6	58
Matteo Siano Italy	3	14 0.6×	38 1.9×	5 0.3×	18 1.3×	23 1.9×	4	94
Gary Chao Canada	5	18 0.8×	24 1.2×	56 3.1×	47 3.4×	10 0.8×	6	112
Ariane Titz France	5	6 0.3×	4 0.2×	8 0.4×	13 0.9×	3 0.3×	9	62
Daniela Fangmann Germany	5	50 2.2×	9 0.5×	9 0.5×	62 4.4×	3 0.3×	7	94
E Shlyakhto Russia	3	16 0.7×	11 0.6×	9 0.5×	6 0.4×		8	50
Alfonso Siani France	5	10 0.4×	4 0.2×	5 0.3×	8 0.6×	3 0.3×	8	50
Dmitrii Borisevich Denmark	5	9 0.4×	3 0.1×	11 0.6×	25 1.8×	2 0.2×	6	60
Pavandip Singh Wasan Singapore	2	10 0.4×	4 0.2×	31 1.7×	18 1.3×		2	48

Countries citing papers authored by Megan E. Ramaker

Since Specialization

Citations

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

Fields of papers citing papers by Megan E. Ramaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Ramaker. 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 Megan E. Ramaker. The network helps show where Megan E. Ramaker may publish in the future.

Co-authorship network of co-authors of Megan E. Ramaker

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

All Works

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8 of 8 papers shown

Ramaker, Megan E., Kristin Corey, Ryne C. Ramaker, et al.. (2024). Cardiovascular Disease Pathogenicity Predictor (CVD-PP): A Tissue-Specific In Silico Tool for Discriminating Pathogenicity of Variants of Unknown Significance in Cardiovascular Disease Genes. Circulation Genomic and Precision Medicine. 17(6). e004464–e004464. 1 indexed citations

Lokhnygina, Yuliya, Megan E. Ramaker, Olga Ilkayeva, et al.. (2023). Catabolism of fats and branched‐chain amino acids in children with Type 1 diabetes: Association with glycaemic control and total daily insulin dose. Endocrinology Diabetes & Metabolism. 6(6). e448–e448. 4 indexed citations

Ramaker, Megan E., et al.. (2023). Abstract 16981: A Machine Learning Model Increases Genetic Confirmation of UKB Participants With Suspected Monogenic Cardiovascular Disease. Circulation. 148(Suppl_1).

Hernandez, Natalie, Yuliya Lokhnygina, Megan E. Ramaker, et al.. (2023). Sex Differences in Branched-chain Amino Acid and Tryptophan Metabolism and Pathogenesis of Youth-onset Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 109(4). e1345–e1358. 4 indexed citations

Ramaker, Megan E., Russell P. Grant, James R. Bain, et al.. (2022). Disrupted Circadian Rhythm of Epinephrine in Males With Youth-Onset Type 2 Diabetes. Journal of the Endocrine Society. 7(2). bvac190–bvac190. 3 indexed citations

Ramaker, Megan E., David L. Corcoran, Michael S. Kobor, et al.. (2022). Epigenome-wide Association Study Analysis of Calorie Restriction in Humans, CALERIETM Trial Analysis. The Journals of Gerontology Series A. 77(12). 2395–2401. 13 indexed citations

Ramaker, Megan E., et al.. (2022). Pediatric Diabetes on the Rise: Trends in Incident Diabetes During the COVID-19 Pandemic. Journal of the Endocrine Society. 6(4). bvac024–bvac024. 21 indexed citations

Ramaker, Megan E., Kim M. Huffman, Johanna L. Johnson, et al.. (2021). Branched-Chain Amino Acid Catabolism and Cardiopulmonary Function Following Acute Maximal Exercise Testing in Adolescents. Frontiers in Cardiovascular Medicine. 8. 721354–721354. 9 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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