Current Genetic Medicine Reports Template
Write in a clean editor, then format for Current Genetic Medicine Reports in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Current Genetic Medicine Reports format
Current Genetic Medicine Reports is a peer-reviewed journal published by Springer Nature, covering Genomics and Rare Diseases, BRCA gene mutations in cancer, Genomic variations and chromosomal abnormalities.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Current Genetic Medicine Reports 12, 45–58 (2023).
Formats any DOI in Current Genetic Medicine Reports style. No sign-up. |
| Publishes research in | Genomics and Rare Diseases BRCA gene mutations in cancer Genomic variations and chromosomal abnormalities Genetic Associations and Epidemiology Alzheimer's disease research and treatments |
| ISSN | 2167-4876 |
| Citation impact (2-yr) | 0.33 |
| h-index | 33 |
| i10-index | 89 |
| Total citations | 3,740 |
| Top institutions publishing here | University of Pittsburgh |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Current Genetic Medicine Reports per year
Citation impact of Current Genetic Medicine Reports by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Current Genetic Medicine Reports
Late-onset Alzheimer’s disease (LOAD) is a devastating neurodegenerative disease with no effective treatment or cure. In addition to APOE, recent large genome-wide association studies have identified variation in over 20 loci that contribute to disease risk: CR1, BIN1, INPP5D, MEF2C, TREM2, CD2AP, HLA-DRB1/HLA-DRB5, EPHA1, NME8, ZCWPW1, CLU, PTK2B, PICALM, SORL1, CELF1, MS4A4/MS4A6E, SLC24A4/RIN3,FERMT2, CD33, ABCA7,…
Identifying disease-causing mutations in DNA has long been the goal of genetic medicine. In the last decade, the toolkit for discovering DNA variants has undergone rapid evolution: mutations that were historically discovered by analog approaches like Sanger sequencing and multiplex ligation-dependent probe amplification ("MLPA") can now be decoded from a digital signal with next-generation sequencing…