Chang C. Liu
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 23
- CRISPR and Genetic Engineering 19
- Microbial Metabolic Engineering and Bioproduction 8
- Advanced biosensing and bioanalysis techniques 6
- Chemical Synthesis and Analysis 4
- Organic Chemistry top 5%
-
- Monoclonal and Polyclonal Antibodies Research 8
- Genetics top 5%
- Bacterial Genetics and Biotechnology 11
- Evolution and Genetic Dynamics 6
- Biophysics top 5%
- Co-authors
- Peter G. SchultzArjun RavikumarAlex A. JavanpourGarri A. ArzumanyanPeter R. AndreanaStuart L. SchreiberAdrian ArrietaLei S. Qi
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Chang C. Liu
49 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.7k
- Organic Chemistry 662
- Radiology, Nuclear Medicine and Imaging 453
- Genetics 500
- Biophysics 102
Countries citing papers authored by Chang C. Liu
This map shows the geographic impact of Chang C. Liu'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 Chang C. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang C. Liu more than expected).
Fields of papers citing papers by Chang C. Liu
This network shows the impact of papers produced by Chang C. Liu. 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 Chang C. Liu. The network helps show where Chang C. Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang C. Liu, 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 | 2025 | 2 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 20 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 77 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 40 | |
| 14 | 2020 | 68 | |
| 15 | 2018 | 192 | |
| 16 | 2018 | 2 | |
| 17 | 2012 | 55 | |
| 18 | Adding New Chemistries to the Genetic Codebreakdown → | 2010 | 1396 |
| 19 | 2008 | 116 | |
| 20 | 2006 | 119 |
About Chang C. Liu
Chang C. Liu is a scholar working on Molecular Biology, Genetics and Biotechnology, having authored 49 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (23 papers), CRISPR and Genetic Engineering (19 papers), Bacterial Genetics and Biotechnology (11 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Evolution and Genetic Dynamics (6 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Organic Chemistry (662 citations) and Radiology, Nuclear Medicine and Imaging (453 citations). Chang C. Liu has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Peter G. Schultz, Arjun Ravikumar, Alex A. Javanpour, Garri A. Arzumanyan, Peter R. Andreana, Stuart L. Schreiber, Adrian Arrieta, Lei S. Qi, Adam P. Arkin and Vaughn V. Smider. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.