Willisa Liou
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Structural Biology top 5%
Papers in
-
- RNA Interference and Gene Delivery 4
- Connexins and lens biology 4
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 3
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- Cellular transport and secretion 6
- Microtubule and mitosis dynamics 2
- Co-authors
- Jan W. Slot (6 shared papers)Hans J. Geuze (4 shared papers)Math J.H. Geelen (1 shared paper)Barth D. Grant (2 shared papers)Ken Sato (2 shared papers)Miyuki Sato (2 shared papers)Hsin‐Lung Chen (6 shared papers)Akihiro Harada (1 shared paper)
- Journals
- Development (3 papers)Macromolecules (3 papers)Experimental Cell Research (2 papers)Histochemistry and Cell Biology (2 papers)Langmuir (2 papers)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Willisa Liou
33 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Aging 143
- Structural Biology 65
- Cell Biology 581
- Physiology 87
- Molecular Biology 849
Countries citing papers authored by Willisa Liou
This map shows the geographic impact of Willisa Liou'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 Willisa Liou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willisa Liou more than expected).
Fields of papers citing papers by Willisa Liou
This network shows the impact of papers produced by Willisa Liou. 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 Willisa Liou. The network helps show where Willisa Liou may publish in the future.
Co-authors
The 25 scholars most cited alongside Willisa Liou, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 459 | |
| 2 | 1997 | 226 | |
| 3 | 2008 | 152 | |
| 4 | 2005 | 140 | |
| 5 | 1995 | 106 | |
| 6 | 2021 | 57 | |
| 7 | 1993 | 49 | |
| 8 | 2014 | 46 | |
| 9 | 2005 | 44 | |
| 10 | 2008 | 35 | |
| 11 | 2006 | 32 | |
| 12 | 2016 | 31 | |
| 13 | 2002 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2004 | 28 | |
| 16 | 2003 | 25 | |
| 17 | 1996 | 25 | |
| 18 | 2017 | 21 | |
| 19 | 1988 | 19 | |
| 20 | 2006 | 19 |
About Willisa Liou
Willisa Liou is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Genetics and Surgery, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), RNA Interference and Gene Delivery (4 papers), Connexins and lens biology (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Autophagy in Disease and Therapy (3 papers), Pancreatic function and diabetes (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aging (143 citations), Structural Biology (65 citations), Cell Biology (581 citations), Physiology (87 citations) and Molecular Biology (849 citations). Willisa Liou has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Jan W. Slot, Hans J. Geuze, Math J.H. Geelen, Barth D. Grant, Ken Sato, Miyuki Sato, Hsin‐Lung Chen, Akihiro Harada, Saumya Pant and Chih-Jen Huang. Their work appears in journals such as Development, Macromolecules, Experimental Cell Research, Histochemistry and Cell Biology and Langmuir.
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.