Megan E. Grove

2.3k citations
17 papers · 537 · h-index 11

Impact in

  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • BRCA gene mutations in cancer
    • Cancer Genomics and Diagnostics

Papers in

    • Genomics and Rare Diseases 9
    • BRCA gene mutations in cancer 4
    • Genomic variations and chromosomal abnormalities 4
    • Mitochondrial Function and Pathology 2

Megan E. Grove

17 papers receiving 532 citations

Peers

Megan E. Grove
Comparison fields: 5 of 69
  • Genetics 313
  • Cancer Research 87
  • Cardiology and Cardiovascular Medicine 53
  • Molecular Biology 169
  • Pathology and Forensic Medicine 31
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Megan E. Grove, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Megan E. Grove Line = papers co-authored together Megan E. Grove links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017161
2 201694
3 202048
4 201340
5 201737
6 201434
7 201733
8 201928
9 201916
10 201913
11 201513
12 20118
13 20195
14 20243
15 20182
16 20241
17 20181

About Megan E. Grove

Megan E. Grove is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Pathology and Forensic Medicine, having authored 17 papers that have together received 537 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), BRCA gene mutations in cancer (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Cardiac electrophysiology and arrhythmias (2 papers), Mitochondrial Function and Pathology (2 papers), Metabolism and Genetic Disorders (2 papers), Ethics in Clinical Research (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (313 citations), Cancer Research (87 citations), Cardiology and Cardiovascular Medicine (53 citations), Molecular Biology (169 citations) and Pathology and Forensic Medicine (31 citations). Megan E. Grove has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Euan A. Ashley, Matthew T. Wheeler, Daryl Waggott, James R. Priest, Kelly E. Ormond, Mildred K. Cho, Rachel L. Goldfeder, Justin M. Zook, Colleen Caleshu and Marc Salit. Their work appears in journals such as Genetics in Medicine, Cold Spring Harbor Perspectives in Medicine, npj Genomic Medicine, Clinical and Translational Science and Psychiatry Research.

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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