Ly-Sha Ee

802 citations
10 papers · 614 indexed · h-index 9

Impact in

    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • DNA Repair Mechanisms
    • Fungal and yeast genetics research
    • CRISPR and Genetic Engineering
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Microtubule and mitosis dynamics 3
    • Genomics and Chromatin Dynamics 6
    • Pluripotent Stem Cells Research 4
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 3
    • Chromatin Remodeling and Cancer 1
    • Renal and related cancers 1

Ly-Sha Ee

10 papers receiving 612 citations

Peers

Ly-Sha Ee
Comparison fields: 5 of 60
  • Molecular Biology 568
  • Cell Biology 113
  • Genetics 80
  • Plant Science 65
  • Aging 3
Replace Anna Sawicka with:
Anna Sawicka Austria
Junji Tsuchida Japan
Andrea Harničarová Czechia
Valentina Quarantotti United States
Kyoko Hiragami-Hamada Germany
Elisabeth Simboeck Austria
Hitoshi Nishijima Japan
Avril Smith Germany
Bobbie Pelham‐Webb United States
Abhijit Shukla United States
Ly-Sha Ee relative to Anna Sawicka Austria Anna Sawicka's profile →
Citations per field
00.5×2.8×
Anna Sawicka · 1×
Citations per year

Countries citing papers authored by Ly-Sha Ee

Since Specialization
Citations

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

Fields of papers citing papers by Ly-Sha Ee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ly-Sha Ee. 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 Ly-Sha Ee. The network helps show where Ly-Sha Ee may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011363
2 201098
3 201343
4 200629
5 201624
6 202320
7 201718
8 20189
9 20208
10 20252

About Ly-Sha Ee

Ly-Sha Ee is a scholar working on Cell Biology, Molecular Biology, Plant Science, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 614 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Microtubule and mitosis dynamics (3 papers), Chromosomal and Genetic Variations (2 papers), Chromatin Remodeling and Cancer (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Molecular Biology (568 citations), Cell Biology (113 citations), Genetics (80 citations), Plant Science (65 citations) and Aging (3 citations). Ly-Sha Ee has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Thomas G. Fazzio, Oliver J. Rando, Poshen B. Chen, Xianjun Dong, Zhiping Weng, Özlem Yıldırım, Jui‐Hung Hung, Ruowang Li, Angelika Amon and Stephen C. Harrison. Their work appears in journals such as Stem Cell Reports, Cell, Molecular Biology of the Cell, Nature Structural & Molecular Biology and Cell Reports.

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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