Sean Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- Lin He (4 shared papers)A Modzelewski (2 shared papers)Angus Yiu-Fai Lee (2 shared papers)Benjamin Lee (1 shared paper)Ivelisse Cajigas (3 shared papers)Jhumku D. Kohtz (3 shared papers)David E. Leib (3 shared papers)K. C. Kent Lloyd (2 shared papers)
- Journals
- Development (2 papers)Journal of Neurotrauma (1 paper)Molecular Cell (1 paper)Cell Reports (1 paper)Epigenetics & Chromatin (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Sean Chen
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 254
- Aging 27
- Business and International Management 29
- Molecular Biology 820
- Genetics 221
Countries citing papers authored by Sean Chen
This map shows the geographic impact of Sean Chen'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 Sean Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Chen more than expected).
Fields of papers citing papers by Sean Chen
This network shows the impact of papers produced by Sean Chen. 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 Sean Chen. The network helps show where Sean Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Chen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 237 | |
| 2 | 2013 | 124 | |
| 3 | 2017 | 122 | |
| 4 | 2018 | 90 | |
| 5 | 2019 | 83 | |
| 6 | 2015 | 76 | |
| 7 | 2017 | 66 | |
| 8 | 2018 | 61 | |
| 9 | 2015 | 55 | |
| 10 | 2015 | 40 | |
| 11 | 2010 | 25 | |
| 12 | 2010 | 15 | |
| 13 | 2016 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2007 | 7 | |
| 18 | 2010 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About Sean Chen
Sean Chen is a scholar working on Molecular Biology, Cancer Research, Genetics, Structural Biology and Physiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (3 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (254 citations), Aging (27 citations), Business and International Management (29 citations), Molecular Biology (820 citations) and Genetics (221 citations). Sean Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Lin He, A Modzelewski, Angus Yiu-Fai Lee, Benjamin Lee, Ivelisse Cajigas, Jhumku D. Kohtz, David E. Leib, K. C. Kent Lloyd, Emily G. Berghoff and Fatemeh Haghighi. Their work appears in journals such as Development, Journal of Neurotrauma, Molecular Cell, Cell Reports and Epigenetics & Chromatin.
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.