Megan E. Grove

2.2k total citations
17 papers, 523 citations indexed

About

Megan E. Grove is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Megan E. Grove has authored 17 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Megan E. Grove's work include Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (5 papers) and BRCA gene mutations in cancer (4 papers). Megan E. Grove is often cited by papers focused on Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (5 papers) and BRCA gene mutations in cancer (4 papers). Megan E. Grove collaborates with scholars based in United States, Austria and United Kingdom. Megan E. Grove's co-authors include Euan A. Ashley, Matthew T. Wheeler, Daryl Waggott, James R. Priest, Kelly E. Ormond, Mildred K. Cho, Marc Salit, Rachel L. Goldfeder, Justin M. Zook and Colleen Caleshu and has published in prestigious journals such as PLoS Genetics, Psychiatry Research and Cold Spring Harbor Perspectives in Medicine.

In The Last Decade

Megan E. Grove

17 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan E. Grove United States	11	344	209	104	60	43	17	523
M Lambert Canada	11	167 0.5×	277 1.3×	84 0.8×	63 1.1×	31 0.7×	14	683
Tatiana Tvrdik United States	11	224 0.7×	226 1.1×	129 1.2×	12 0.2×	33 0.8×	16	524
Lisa Mahanta United States	11	195 0.6×	235 1.1×	73 0.7×	231 3.9×	32 0.7×	15	552
Carlo Sidore Italy	12	417 1.2×	309 1.5×	83 0.8×	10 0.2×	20 0.5×	24	671
Phillip Gray United States	8	173 0.5×	123 0.6×	59 0.6×	19 0.3×	29 0.7×	11	357
Tracy N. Hadnott United States	7	507 1.5×	333 1.6×	66 0.6×	65 1.1×	15 0.3×	11	752
Vrunda Sheth United States	3	303 0.9×	153 0.7×	73 0.7×	16 0.3×	33 0.8×	3	503
Luciana Ribeiro Montenegro Brazil	15	483 1.4×	512 2.4×	43 0.4×	40 0.7×	18 0.4×	46	957
Nam Pho United States	5	95 0.3×	215 1.0×	52 0.5×	23 0.4×	20 0.5×	6	418
S. Krithika India	14	196 0.6×	168 0.8×	39 0.4×	17 0.3×	14 0.3×	30	478

Countries citing papers authored by Megan E. Grove

Since Specialization

Citations

This map shows the geographic impact of Megan E. Grove'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. Grove 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. Grove more than expected).

Fields of papers citing papers by Megan E. Grove

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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17 of 17 papers shown

1.

Youlton, Nathan, Yong Huang, Chloe M. Reuter, et al.. (2024). Regional Variation in Cardiovascular Genes Enables a Tractable Genome Editing Strategy. Circulation Genomic and Precision Medicine. 17(2). e004370–e004370. 1 indexed citations

2.

Russell, C. Scott, MaryAnn Campion, Megan E. Grove, et al.. (2024). Knowledge and attitudes on implementing cardiovascular pharmacogenomic testing. Clinical and Translational Science. 17(3). e13737–e13737. 2 indexed citations

3.

Hayeems, Robin Z., David Dimmock, David Bick, et al.. (2020). Clinical utility of genomic sequencing: a measurement toolkit. npj Genomic Medicine. 5(1). 56–56. 46 indexed citations

4.

Zastrow, Diane B., Jennefer N. Kohler, Devon Bonner, et al.. (2019). A toolkit for genetics providers in follow‐up of patients with non‐diagnostic exome sequencing. Journal of Genetic Counseling. 28(2). 213–228. 5 indexed citations

5.

Kumar, Akash, Diane B. Zastrow, Elijah Kravets, et al.. (2019). Extracutaneous manifestations in phacomatosis cesioflammea and cesiomarmorata: Case series and literature review. American Journal of Medical Genetics Part A. 179(6). 966–977. 16 indexed citations

6.

Rego, Shannon, Megan E. Grove, Mildred K. Cho, & Kelly E. Ormond. (2019). Informed Consent in the Genomics Era. Cold Spring Harbor Perspectives in Medicine. 10(8). a036582–a036582. 26 indexed citations

7.

Grove, Megan E., Shana White, Dianna G. Fisk, et al.. (2019). Developing a genomics rotation: Practical training around variant interpretation for genetic counseling students. Journal of Genetic Counseling. 28(2). 466–476. 12 indexed citations

8.

Guimier, Anne, Fanny Bajolle, Christian Turner, et al.. (2018). PPA2 gene is involved in neonatal fatal acute dilated cardiomyopathy. Archives of Cardiovascular Diseases Supplements. 11(1). 134–134. 1 indexed citations

9.

Guimier, Anne, Fanny Bajolle, Christian Turner, et al.. (2018). PPA2 gene is involved in neonatal fatal acute dilated cardiomyopathy. Archives of Cardiovascular Diseases Supplements. 10(3-4). 282–282. 2 indexed citations

10.

Harrington, Elizabeth A., Kyla Dunn, Mitchel Pariani, et al.. (2017). Clinically impactful differences in variant interpretation between clinicians and testing laboratories: a single-center experience. Genetics in Medicine. 20(3). 369–373. 37 indexed citations

11.

Merker, Jason D., Aaron M. Wenger, Tam P. Sneddon, et al.. (2017). Long-read genome sequencing identifies causal structural variation in a Mendelian disease. Genetics in Medicine. 20(1). 159–163. 158 indexed citations

12.

Reuter, Chloe M., Megan E. Grove, Kate M. Orland, Katherine G. Spoonamore, & Colleen Caleshu. (2017). Clinical Cardiovascular Genetic Counselors Take a Leading Role in Team‐based Variant Classification. Journal of Genetic Counseling. 27(4). 751–760. 32 indexed citations

13.

Goldfeder, Rachel L., James R. Priest, Justin M. Zook, et al.. (2016). Medical implications of technical accuracy in genome sequencing. Genome Medicine. 8(1). 24–24. 94 indexed citations

14.

Dewey, Frederick E., Megan E. Grove, James R. Priest, et al.. (2015). Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data. PLoS Genetics. 11(10). e1005496–e1005496. 13 indexed citations

15.

Priest, James R., Scott R. Ceresnak, Frederick E. Dewey, et al.. (2014). Molecular diagnosis of long QT syndrome at 10 days of life by rapid whole genome sequencing. Heart Rhythm. 11(10). 1707–1713. 32 indexed citations

16.

Grove, Megan E., et al.. (2013). Views of Genetics Health Professionals on the Return of Genomic Results. Journal of Genetic Counseling. 23(4). 531–538. 39 indexed citations

17.

Zeitzer, Jamie M., et al.. (2011). Faster REM sleep EEG and worse restedness in older insomniacs with HLA DQB1*0602. Psychiatry Research. 187(3). 397–400. 7 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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