Ly-Sha Ee

895 citations
11 papers · 712 · h-index 9

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Pluripotent Stem Cells Research
    • DNA Repair Mechanisms
    • Chromatin Remodeling and Cancer
    • Fungal and yeast genetics research

Papers in

    • Microtubule and mitosis dynamics 4
    • Pluripotent Stem Cells Research 4
    • Epigenetics and DNA Methylation 3
    • Genomics and Chromatin Dynamics 3
    • Fungal and yeast genetics research 1
    • Developmental Biology and Gene Regulation 1
    • DNA Repair Mechanisms 1

Ly-Sha Ee

11 papers receiving 706 citations

Peers

Ly-Sha Ee
Comparison fields: 5 of 47
  • Cell Biology 148
  • Molecular Biology 530
  • Developmental Neuroscience 9
  • Genetics 13
  • Reproductive Medicine 14
Replace Clara Sidor with:
Clara Sidor France
Annabelle Alves France
Katharina Thanisch Germany
Teresa Romeo Luperchio United States
Martin Houlard France
Jonathan C. Snedeker United States
Shai Melcer Israel
Ihn Young Song United States
Hirohisa Masuda Japan
Daniel Peric‐Hupkes Netherlands
Ly-Sha Ee relative to Clara Sidor France Clara Sidor's profile →
Citations per field
00.5×2×3×4×4.9×
Clara Sidor · 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

11 of 11 papers shown
#Work
1 2011376
2 201093
3 200876
4 201343
5 200630
6 202326
7 201624
8 201721
9 201811
10 20208
11 20254

About Ly-Sha Ee

Ly-Sha Ee is a scholar working on Cell Biology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 712 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Microtubule and mitosis dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Fungal and yeast genetics research (1 paper), Developmental Biology and Gene Regulation (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cell Biology (148 citations), Molecular Biology (530 citations), Developmental Neuroscience (9 citations), Genetics (13 citations) and Reproductive Medicine (14 citations). Ly-Sha Ee has collaborated with scholars based in United States and Italy. Frequent co-authors include Angelika Amon, Thomas G. Fazzio, Oliver J. Rando, Poshen B. Chen, Ruowang Li, Jui‐Hung Hung, Özlem Yıldırım, Zhiping Weng, Xianjun Dong and Andreas Hochwagen. Their work appears in journals such as Molecular Biology of the Cell, Stem Cell Reports, Cell, Nature Structural & Molecular Biology and Developmental Cell.

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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