Rachel E. Cherney

470 citations
10 papers · 326 · h-index 7

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 2
    • DNA Repair Mechanisms 1
    • Cancer-related molecular mechanisms research 6

Rachel E. Cherney

9 papers receiving 326 citations

Peers

Rachel E. Cherney
Comparison fields: 5 of 47
  • Developmental Neuroscience 39
  • Cancer Research 104
  • Genetics 118
  • Molecular Biology 265
  • Cognitive Neuroscience 57
Replace Alex M. Casella with:
Alex M. Casella United States
Marilyn Scandaglia Spain
Satoshi Miyashita Japan
Amy B. Wilfert United States
Ryan Ziffra United States
Emily E. Stackpole United States
Ashwani Choudhary Israel
Bhavana Muralidharan India
Shawn C. Moseley United States
Matthew J. Eckler United States
Rachel E. Cherney relative to Alex M. Casella United States Alex M. Casella's profile →
Citations per field
00.5×2.6×
Alex M. Casella · 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

10 of 10 papers shown
#Work
1 2014157
2 201998
3 202122
4 201614
5 202113
6 202011
7 20237
8 20232
9 20222
10 20250

About Rachel E. Cherney

Rachel E. Cherney is a scholar working on Molecular Biology, Cancer Research, Political Science and International Relations, Astronomy and Astrophysics and Cell Biology, having authored 10 papers that have together received 326 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), Microtubule and mitosis dynamics (1 paper), International Science and Diplomacy (1 paper), DNA Repair Mechanisms (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (39 citations), Cancer Research (104 citations), Genetics (118 citations), Molecular Biology (265 citations) and Cognitive Neuroscience (57 citations). Rachel E. Cherney has collaborated with scholars based in United States and Russia. Frequent co-authors include J. Mauro Calabrese, Ronghui Li, Qiping Dong, Yan Liu, Xiaofen Zhong, Su‐Chun Zhang, Benjamin Lin, Hongda Li, Gene E. Ananiev and Jianfeng Lü. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Wiley Interdisciplinary Reviews - RNA, Human Molecular Genetics 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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