Wing-Cheong Lo
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Fungal and yeast genetics research 8
- Gene Regulatory Network Analysis 8
- Developmental Biology and Gene Regulation 6
- Pluripotent Stem Cells Research 3
-
- Mathematical and Theoretical Epidemiology and Ecology Models 12
- Co-authors
- Qing Nie (8 shared papers)Arthur D. Lander (5 shared papers)Ching‐Shan Chou (8 shared papers)Frederic Y. M. Wan (4 shared papers)S. Kevin Zhou (2 shared papers)Hay-Oak Park (6 shared papers)Enrico Gratton (1 shared paper)Jeffrey L. Suhalim (1 shared paper)
- Journals
- Discrete and Continuous Dynamical Systems - B (5 papers)Chaos Solitons & Fractals (3 papers)Bulletin of Mathematical Biology (3 papers)Journal of Computational Physics (2 papers)Molecular Biology of the Cell (2 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Wing-Cheong Lo
40 papers receiving 634 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 100
- Cell Biology 182
- Molecular Biology 397
- Aging 9
- Biophysics 22
Countries citing papers authored by Wing-Cheong Lo
This map shows the geographic impact of Wing-Cheong Lo'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 Wing-Cheong Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wing-Cheong Lo more than expected).
Fields of papers citing papers by Wing-Cheong Lo
This network shows the impact of papers produced by Wing-Cheong Lo. 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 Wing-Cheong Lo. The network helps show where Wing-Cheong Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wing-Cheong Lo, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 120 | |
| 2 | 2008 | 84 | |
| 3 | 2009 | 66 | |
| 4 | 2016 | 66 | |
| 5 | 2010 | 34 | |
| 6 | 2013 | 24 | |
| 7 | 2013 | 21 | |
| 8 | 2014 | 19 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2012 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2012 | 9 | |
| 20 | 2021 | 8 |
About Wing-Cheong Lo
Wing-Cheong Lo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Cell Biology and Modeling and Simulation, having authored 42 papers that have together received 641 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Evolution and Genetic Dynamics (9 papers), Fungal and yeast genetics research (8 papers), Gene Regulatory Network Analysis (8 papers), Developmental Biology and Gene Regulation (6 papers), Mathematical Biology Tumor Growth (5 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Cell Biology (182 citations), Molecular Biology (397 citations), Aging (9 citations) and Biophysics (22 citations). Wing-Cheong Lo has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Qing Nie, Arthur D. Lander, Ching‐Shan Chou, Frederic Y. M. Wan, S. Kevin Zhou, Hay-Oak Park, Enrico Gratton, Jeffrey L. Suhalim, Michelle A. Digman and Avner Friedman. Their work appears in journals such as Discrete and Continuous Dynamical Systems - B, Chaos Solitons & Fractals, Bulletin of Mathematical Biology, Journal of Computational Physics and Molecular Biology of the Cell.
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.