Jaclyn M. Einstein

535 citations
4 papers · 343 indexed · h-index 4

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics

Papers in

    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Cancer-related gene regulation 1
    • RNA and protein synthesis mechanisms 1
    • CRISPR and Genetic Engineering 1
    • Ubiquitin and proteasome pathways 1
    • Cancer-related molecular mechanisms research 2

Jaclyn M. Einstein

4 papers receiving 342 citations

Peers

Jaclyn M. Einstein
Comparison fields: 5 of 40
  • Cancer Research 134
  • Molecular Biology 333
  • Biophysics 18
  • Aging 3
  • Oncology 20
Replace Anna Uzonyi with:
Anna Uzonyi Israel
Robert Wang United States
Haiqing Xiong China
Pia Mach Switzerland
Joseph S. Bowness United Kingdom
Yingjie Luo China
Soochul Shin South Korea
Taylor Floyd United States
Kim L. de Luca Netherlands
Alberto Gatto France
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Citations per field
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Citations per year

Countries citing papers authored by Jaclyn M. Einstein

Since Specialization
Citations

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

Fields of papers citing papers by Jaclyn M. Einstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaclyn M. Einstein. 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 Jaclyn M. Einstein. The network helps show where Jaclyn M. Einstein may publish in the future.

Co-authors

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

All Works

About Jaclyn M. Einstein

Jaclyn M. Einstein is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 343 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer-related gene regulation (1 paper), HVDC Systems and Fault Protection (1 paper), RNA and protein synthesis mechanisms (1 paper), CRISPR and Genetic Engineering (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (134 citations), Molecular Biology (333 citations), Biophysics (18 citations), Aging (3 citations) and Oncology (20 citations). Jaclyn M. Einstein has collaborated with scholars based in United States. Frequent co-authors include G Yeo, Daniel A. Lorenz, Shashank Sathe, Assael A. Madrigal, Alexandra T. Tankka, Jitendra K. Meena, Heyuan Li, Mark Perelis, Brian A. Yee and Isaac A. Chaim. Their work appears in journals such as Nature Methods, Molecular Cell, Blood Advances and RNA.

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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