Rachel E. Cherney

490 citations
11 papers · 352 · h-index 7

Impact in

Papers in

    • Cancer-related molecular mechanisms research 6
    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 2
    • Plant Reproductive Biology 1
    • RNA regulation and disease 1
    • DNA Repair Mechanisms 1
    • Genetics, Bioinformatics, and Biomedical Research 1

Rachel E. Cherney

10 papers receiving 350 citations

Peers

Rachel E. Cherney
Comparison fields: 5 of 48
  • Developmental Neuroscience 40
  • Cancer Research 107
  • Genetics 119
  • Molecular Biology 276
  • Neurology 24
Replace Shuang-Feng Zhang with:
Shuang-Feng Zhang China
Brian A. Rodriguez United States
Shawn C. Moseley United States
Sonia N. Kim United States
Bhavana Muralidharan India
Marilyn Scandaglia Spain
Emily E. Stackpole United States
Carlotta Gilardi Switzerland
James H. Notwell United States
Alex M. Casella United States
Rachel E. Cherney relative to Shuang-Feng Zhang China Shuang-Feng Zhang's profile →
Citations per field
00.5×2×4×6.3×
Shuang-Feng Zhang · 1×
Citations per year

Countries citing papers authored by Rachel E. Cherney

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Cherney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014167
2 2019104
3 202127
4 201616
5 202112
6 202011
7 20238
8 20233
9 20222
10 20252
11 20230

About Rachel E. Cherney

Rachel E. Cherney is a scholar working on Cancer Research, Molecular Biology, Developmental Neuroscience, Reproductive Medicine and Cell Biology, having authored 11 papers that have together received 352 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers), Plant Reproductive Biology (1 paper), RNA regulation and disease (1 paper), DNA Repair Mechanisms (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Developmental Neuroscience (40 citations), Cancer Research (107 citations), Genetics (119 citations), Molecular Biology (276 citations) and Neurology (24 citations). Rachel E. Cherney has collaborated with scholars based in United States and Russia. Frequent co-authors include J. Mauro Calabrese, Ronghui Li, Gene E. Ananiev, Jianfeng Lü, Benjamin Lin, Qiping Dong, Xiaofen Zhong, Qiang Chang, Yan Liu and Su‐Chun Zhang. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, RNA, Wiley Interdisciplinary Reviews - RNA and PLoS Genetics.

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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