Ly-Sha Ee
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
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Genomics and Chromatin Dynamics 6
- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 1
- Gene expression and cancer classification 1
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Thomas G. Fazzio (3 shared papers)Oliver J. Rando (2 shared papers)Xianjun Dong (1 shared paper)Özlem Yıldırım (1 shared paper)Jui‐Hung Hung (1 shared paper)Zhiping Weng (1 shared paper)Poshen B. Chen (1 shared paper)Ruowang Li (1 shared paper)
- Journals
- Cell (2 papers)Stem Cell Reports (2 papers)Cell Reports (1 paper)Nature Structural & Molecular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Ly-Sha Ee
10 papers receiving 639 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 587
- Cell Biology 113
- Genetics 82
- Aging 3
- Plant Science 62
Countries citing papers authored by Ly-Sha Ee
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 383 | |
| 2 | 2010 | 98 | |
| 3 | 2013 | 44 | |
| 4 | 2006 | 30 | |
| 5 | 2023 | 26 | |
| 6 | 2016 | 24 | |
| 7 | 2017 | 20 | |
| 8 | 2018 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2025 | 2 |
About Ly-Sha Ee
Ly-Sha Ee is a scholar working on Molecular Biology, Cell Biology, Plant Science, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 644 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), Microtubule and mitosis dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Chromosomal and Genetic Variations (2 papers), DNA Repair Mechanisms (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (587 citations), Cell Biology (113 citations), Genetics (82 citations), Aging (3 citations) and Plant Science (62 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, Xianjun Dong, Özlem Yıldırım, Jui‐Hung Hung, Zhiping Weng, Poshen B. Chen, Ruowang Li, Angelika Amon and Calvin K. Yip. Their work appears in journals such as Cell, Stem Cell Reports, Cell Reports, Nature Structural & Molecular Biology and Proceedings of the National Academy of Sciences.
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.