Ee-chun Cheng
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Cancer-related molecular mechanisms research
Papers in
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- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 3
- Pluripotent Stem Cells Research 3
- Chromatin Remodeling and Cancer 2
- Genetics 4
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Haifan Lin (4 shared papers)Diane S. Krause (14 shared papers)Mei Zhong (1 shared paper)Toshiaki Watanabe (1 shared paper)Matthew J. Renda (5 shared papers)Zhaodi Gong (1 shared paper)Laura E. Niklason (1 shared paper)Stephan W. Morris (2 shared papers)
- Journals
- PLoS ONE (2 papers)Blood (2 papers)Stem Cells (1 paper)The Journal of Cell Biology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Ee-chun Cheng
18 papers receiving 749 citations
Peers
Comparison fields: 5 of 73
- Genetics 112
- Cancer Research 123
- Hematology 86
- Molecular Biology 489
- Plant Science 164
Countries citing papers authored by Ee-chun Cheng
This map shows the geographic impact of Ee-chun Cheng'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 Ee-chun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ee-chun Cheng more than expected).
Fields of papers citing papers by Ee-chun Cheng
This network shows the impact of papers produced by Ee-chun Cheng. 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 Ee-chun Cheng. The network helps show where Ee-chun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ee-chun Cheng, 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 | 2014 | 191 | |
| 2 | 2007 | 82 | |
| 3 | 2008 | 74 | |
| 4 | 2010 | 67 | |
| 5 | 2012 | 63 | |
| 6 | 2006 | 60 | |
| 7 | 2009 | 51 | |
| 8 | 2010 | 44 | |
| 9 | 2022 | 40 | |
| 10 | 2013 | 28 | |
| 11 | 2014 | 22 | |
| 12 | 2013 | 21 | |
| 13 | 2007 | 11 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2010 | 1 |
About Ee-chun Cheng
Ee-chun Cheng is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Plant Science and Surgery, having authored 18 papers that have together received 766 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Cystic Fibrosis Research Advances (3 papers), Chromosomal and Genetic Variations (3 papers), RNA modifications and cancer (3 papers), Neonatal Respiratory Health Research (3 papers), Pluripotent Stem Cells Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Genetics (112 citations), Cancer Research (123 citations), Hematology (86 citations), Molecular Biology (489 citations) and Plant Science (164 citations). Ee-chun Cheng has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Haifan Lin, Diane S. Krause, Mei Zhong, Toshiaki Watanabe, Matthew J. Renda, Zhaodi Gong, Laura E. Niklason, Stephan W. Morris, Emanuela M. Bruscia and Sharon Lin. Their work appears in journals such as PLoS ONE, Blood, Stem Cells, The Journal of Cell Biology and Molecular and Cellular Biology.
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.