Megan E. Forrest

616 citations
11 papers · 428 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 4
    • Epigenetics and DNA Methylation 2
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 1

Megan E. Forrest

11 papers receiving 424 citations

Peers

Megan E. Forrest
Comparison fields: 5 of 52
  • Cancer Research 257
  • Molecular Biology 367
  • Genetics 18
  • Rheumatology 21
  • Oncology 23
Replace Dean A. Fennell with:
Dean A. Fennell United Kingdom
Jinliang Huan China
H-Y Kang South Korea
Christiaan J. Stavast Netherlands
Corinna Altenberger Austria
Yipei Jing China
Tingyi Wei China
Kristina Rehmet Ireland
Panagiotis Tsiakanikas Greece
Sara Siddiqi United States
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Citations per field
00.5×7.4×
Dean A. Fennell · 1×
Citations per year

Countries citing papers authored by Megan E. Forrest

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Megan E. Forrest, 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. Forrest Line = papers co-authored together Megan E. Forrest links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015135
2 201790
3 202066
4 201838
5 201832
6 201727
7 201623
8 202110
9 20225
10 20221
11 20181

About Megan E. Forrest

Megan E. Forrest is a scholar working on Molecular Biology, Cancer Research, Genetics, Cellular and Molecular Neuroscience and Urology, having authored 11 papers that have together received 428 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA and protein synthesis mechanisms (4 papers), Epigenetics and DNA Methylation (2 papers), Neurological diseases and metabolism (1 paper), MicroRNA in disease regulation (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cancer Research (257 citations), Molecular Biology (367 citations), Genetics (18 citations), Rheumatology (21 citations) and Oncology (23 citations). Megan E. Forrest has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Ahmad M. Khalil, Sanford D. Markowitz, Lydia Beard, Callie R. Merry, Mark W. Jackson, Maria Hatzoglou, Xing Gao, Zhenghe Wang, Sophie Martin and Jeff Coller. Their work appears in journals such as Clinical Epigenetics, Scientific Reports, Human Mutation, Human Molecular Genetics and Oncotarget.

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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