Connie Wu
Impact in
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
- Catalysis for Biomass Conversion
Papers in
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- RNA modifications and cancer 4
- Advanced Biosensing Techniques and Applications 3
- Advanced biosensing and bioanalysis techniques 3
- Circular RNAs in diseases 2
- RNA Research and Splicing 2
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- Microfluidic and Bio-sensing Technologies 3
- Biosensors and Analytical Detection 3
- Co-authors
- Dandan Sun (1 shared paper)David R. Walt (7 shared papers)Padric M. Garden (1 shared paper)Kevin C.‐W. Wu (1 shared paper)Pankaj Arora (9 shared papers)Adam M. Maley (3 shared papers)Tal Gilboa (2 shared papers)Alana F. Ogata (2 shared papers)
- Journals
- ACS Nano (3 papers)PLoS ONE (2 papers)Journal of the American Heart Association (2 papers)Journal of the American College of Cardiology (2 papers)Circulation Cardiovascular Genetics (2 papers)
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Connie Wu
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Biomedical Engineering 378
- Biological Psychiatry 18
- Molecular Biology 442
- Infectious Diseases 106
- Neurology 38
Countries citing papers authored by Connie Wu
This map shows the geographic impact of Connie Wu'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 Connie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Wu more than expected).
Fields of papers citing papers by Connie Wu
This network shows the impact of papers produced by Connie Wu. 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 Connie Wu. The network helps show where Connie Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Connie Wu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 233 | |
| 2 | 2020 | 133 | |
| 3 | 2020 | 126 | |
| 4 | 2012 | 122 | |
| 5 | 2022 | 114 | |
| 6 | 2015 | 35 | |
| 7 | 2023 | 33 | |
| 8 | 2016 | 31 | |
| 9 | 2012 | 26 | |
| 10 | 2019 | 24 | |
| 11 | 2016 | 22 | |
| 12 | 2015 | 21 | |
| 13 | 1978 | 21 | |
| 14 | 2020 | 20 | |
| 15 | 2016 | 18 | |
| 16 | 2024 | 18 | |
| 17 | 2014 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2014 | 6 | |
| 20 | 2016 | 5 |
About Connie Wu
Connie Wu is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Organic Chemistry and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Biosensors and Analytical Detection (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Circular RNAs in diseases (2 papers), Heart Failure Treatment and Management (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Biomedical Engineering (378 citations), Biological Psychiatry (18 citations), Molecular Biology (442 citations), Infectious Diseases (106 citations) and Neurology (38 citations). Connie Wu has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Dandan Sun, David R. Walt, Padric M. Garden, Kevin C.‐W. Wu, Pankaj Arora, Adam M. Maley, Tal Gilboa, Alana F. Ogata, Emmanuel S. Buys and Richelle C. Charles. Their work appears in journals such as ACS Nano, PLoS ONE, Journal of the American Heart Association, Journal of the American College of Cardiology and Circulation Cardiovascular 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.