Peter Ly
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cell Biology top 2%
- Microtubule and mitosis dynamics
Papers in
-
- Genomics and Chromatin Dynamics 16
- DNA Repair Mechanisms 13
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 4
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- Microtubule and mitosis dynamics 8
- Co-authors
- Don W. Cleveland (9 shared papers)Dong Hyun Kim (5 shared papers)Daniele Fachinetti (6 shared papers)Ofer Shoshani (5 shared papers)David C. Page (4 shared papers)Moira A. McMahon (3 shared papers)Simon F. Brunner (2 shared papers)Peter J. Campbell (2 shared papers)
- Journals
- Nature (4 papers)Cell (3 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Peter Ly
42 papers receiving 3.5k citations
Peter Ly's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 799
- Cell Biology 603
- Immunology 713
- Molecular Biology 2.2k
- Oncology 543
Countries citing papers authored by Peter Ly
This map shows the geographic impact of Peter Ly'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 Peter Ly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ly more than expected).
Fields of papers citing papers by Peter Ly
This network shows the impact of papers produced by Peter Ly. 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 Peter Ly. The network helps show where Peter Ly may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chromosomal instability drives metastasis through a cytosolic DNA response Hit paper breakdown → | 2018 | 1202 |
| 2 | 2020 | 317 | |
| 3 | 2016 | 224 | |
| 4 | 2015 | 194 | |
| 5 | 2019 | 173 | |
| 6 | 2017 | 163 | |
| 7 | 2012 | 141 | |
| 8 | 2014 | 124 | |
| 9 | 2015 | 111 | |
| 10 | 2022 | 100 | |
| 11 | 2023 | 81 | |
| 12 | 2016 | 80 | |
| 13 | 2013 | 60 | |
| 14 | 2023 | 54 | |
| 15 | 2024 | 49 | |
| 16 | 2023 | 45 | |
| 17 | 2018 | 43 | |
| 18 | 2023 | 43 | |
| 19 | 2024 | 36 | |
| 20 | 2011 | 34 |
About Peter Ly
Peter Ly is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Plant Science and Genetics, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), DNA Repair Mechanisms (13 papers), Chromosomal and Genetic Variations (11 papers), Microtubule and mitosis dynamics (8 papers), Genomic variations and chromosomal abnormalities (8 papers), Cancer Genomics and Diagnostics (7 papers), CRISPR and Genetic Engineering (6 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (799 citations), Cell Biology (603 citations), Immunology (713 citations), Molecular Biology (2.2k citations) and Oncology (543 citations). Peter Ly has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Don W. Cleveland, Dong Hyun Kim, Daniele Fachinetti, Ofer Shoshani, David C. Page, Moira A. McMahon, Simon F. Brunner, Peter J. Campbell, Joo Seok Han and Yael Nechemia‐Arbely. Their work appears in journals such as Nature, Cell, Nature Communications, Proceedings of the National Academy of Sciences and Blood.
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.