Chi-Wei Lu
Impact in
-
- Pluripotent Stem Cells Research
- Renal and related cancers
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
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- MicroRNA in disease regulation
Papers in
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- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 5
- Renal and related cancers 2
- RNA Research and Splicing 2
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- George Q. Daley (3 shared papers)Lingyi Chen (2 shared papers)Akiko Yabuuchi (2 shared papers)Srinivas R. Viswanathan (2 shared papers)Kitai Kim (1 shared paper)Monica J. Roth (5 shared papers)Arnold J. Levine (1 shared paper)Yvonne Sun (1 shared paper)
- Journals
- Journal of Virology (3 papers)Neuroscience (2 papers)Journal of Biomedical Science (2 papers)PLoS ONE (2 papers)Nature Genetics (1 paper)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Chi-Wei Lu
19 papers receiving 606 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 478
- Cancer Research 102
- Virology 26
- Cell Biology 55
- Immunology 70
Countries citing papers authored by Chi-Wei Lu
This map shows the geographic impact of Chi-Wei Lu'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 Chi-Wei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Wei Lu more than expected).
Fields of papers citing papers by Chi-Wei Lu
This network shows the impact of papers produced by Chi-Wei Lu. 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 Chi-Wei Lu. The network helps show where Chi-Wei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Wei Lu, 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 | 2008 | 133 | |
| 2 | 2009 | 96 | |
| 3 | 2012 | 79 | |
| 4 | 2009 | 77 | |
| 5 | 2018 | 51 | |
| 6 | 2001 | 38 | |
| 7 | 2020 | 36 | |
| 8 | 2010 | 24 | |
| 9 | 2012 | 18 | |
| 10 | 2001 | 12 | |
| 11 | 2003 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2003 | 8 | |
| 14 | 2003 | 7 | |
| 15 | 2002 | 6 | |
| 16 | The Prevalence and Payer Costs of Potentially Avoidable Emergent Care Visits for Suspected Amniotic Membrane Rupture in Pregnant Women. | 2018 | 4 |
| 17 | 2014 | 3 | |
| 18 | 1998 | 2 | |
| 19 | 2012 | 1 | |
| 20 | 2018 | 0 |
About Chi-Wei Lu
Chi-Wei Lu is a scholar working on Molecular Biology, Virology, Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology, having authored 20 papers that have together received 618 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (5 papers), HIV Research and Treatment (4 papers), Renal and related cancers (2 papers), RNA Research and Splicing (2 papers), Reproductive Biology and Fertility (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (478 citations), Cancer Research (102 citations), Virology (26 citations), Cell Biology (55 citations) and Immunology (70 citations). Chi-Wei Lu has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include George Q. Daley, Lingyi Chen, Akiko Yabuuchi, Srinivas R. Viswanathan, Kitai Kim, Monica J. Roth, Arnold J. Levine, Yvonne Sun, Yi Lan and Sarah Eminli. Their work appears in journals such as Journal of Virology, Neuroscience, Journal of Biomedical Science, PLoS ONE and Nature Genetics.
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.