Mi Liu
Impact in
- Catalysis top 10%
- Biomedical Engineering top 5%
- Catalysis for Biomass Conversion
- Biofuel production and bioconversion
- Lignin and Wood Chemistry
- Thermochemical Biomass Conversion Processes
Papers in
-
- Nanoplatforms for cancer theranostics 10
- Catalysis for Biomass Conversion 8
- Biofuel production and bioconversion 5
- Co-authors
- Ye Wang (6 shared papers)Qinghong Zhang (6 shared papers)Weiping Deng (6 shared papers)Xuesong Tan (3 shared papers)Lu Diao (11 shared papers)Jean‐Christophe Leroux (3 shared papers)Marc A. Gauthier (3 shared papers)Jiankun Zhuo (3 shared papers)
- Journals
- Advanced Science (4 papers)Chemical Communications (3 papers)Journal of Nuclear Materials (3 papers)Analytical Chemistry (3 papers)American Journal of Physiology-Renal Physiology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mi Liu
127 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 161
- Catalysis 152
- Biomedical Engineering 881
- Toxicology 59
- Materials Chemistry 692
- Biomaterials 189
Countries citing papers authored by Mi Liu
This map shows the geographic impact of Mi 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 Mi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Liu more than expected).
Fields of papers citing papers by Mi Liu
This network shows the impact of papers produced by Mi 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 Mi Liu. The network helps show where Mi Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi 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
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 139 | |
| 2 | 2011 | 126 | |
| 3 | 2009 | 121 | |
| 4 | 2010 | 117 | |
| 5 | 2018 | 115 | |
| 6 | 2010 | 115 | |
| 7 | 2011 | 106 | |
| 8 | 2021 | 105 | |
| 9 | 2023 | 86 | |
| 10 | 2022 | 80 | |
| 11 | 2010 | 76 | |
| 12 | 2014 | 71 | |
| 13 | 2011 | 65 | |
| 14 | 2021 | 59 | |
| 15 | 2013 | 58 | |
| 16 | 2015 | 58 | |
| 17 | 2008 | 51 | |
| 18 | 2020 | 49 | |
| 19 | 2012 | 49 | |
| 20 | 2017 | 46 |
About Mi Liu
Mi Liu is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Immunology and Surgery, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Nanoplatforms for cancer theranostics (10 papers), Catalysis for Biomass Conversion (8 papers), Nuclear Materials and Properties (7 papers), Fusion materials and technologies (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Biofuel production and bioconversion (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Catalysis (152 citations), Biomedical Engineering (881 citations), Toxicology (59 citations), Materials Chemistry (692 citations) and Biomaterials (189 citations). Mi Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ye Wang, Qinghong Zhang, Weiping Deng, Xuesong Tan, Lu Diao, Jean‐Christophe Leroux, Marc A. Gauthier, Jiankun Zhuo, Qiang Yao and Datong Ding. Their work appears in journals such as Advanced Science, Chemical Communications, Journal of Nuclear Materials, Analytical Chemistry and American Journal of Physiology-Renal Physiology.
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.