Daixi Li
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Filtration and Separation top 5%
Papers in
-
- Protein Interaction Studies and Fluorescence Analysis 4
- vaccines and immunoinformatics approaches 4
- Oncology 10
- Metal complexes synthesis and properties 6
- Co-authors
- Dong‐Qing Wei (10 shared papers)Baolin Liu (12 shared papers)Shaobo Wang (3 shared papers)Junping Wang (3 shared papers)Jinghong Zhao (2 shared papers)Cheng‐Lung Chen (5 shared papers)Cheng Wang (1 shared paper)Lu Xie (5 shared papers)
- Journals
- Molecular Simulation (3 papers)Journal of Molecular Modeling (2 papers)Applied Organometallic Chemistry (2 papers)New Journal of Chemistry (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Daixi Li
58 papers receiving 928 citations
Peers
Comparison fields: 5 of 125
- Microbiology 81
- Filtration and Separation 28
- Molecular Medicine 40
- Cancer Research 102
- Infectious Diseases 124
Countries citing papers authored by Daixi Li
This map shows the geographic impact of Daixi Li'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 Daixi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daixi Li more than expected).
Fields of papers citing papers by Daixi Li
This network shows the impact of papers produced by Daixi Li. 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 Daixi Li. The network helps show where Daixi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Daixi Li, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2019 | 95 | |
| 3 | 2021 | 75 | |
| 4 | 2020 | 68 | |
| 5 | 2007 | 51 | |
| 6 | 2020 | 46 | |
| 7 | 2015 | 34 | |
| 8 | 2009 | 32 | |
| 9 | 2019 | 31 | |
| 10 | 2021 | 23 | |
| 11 | 2003 | 18 | |
| 12 | 2008 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2003 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2012 | 15 |
About Daixi Li
Daixi Li is a scholar working on Molecular Biology, Oncology, Inorganic Chemistry, Materials Chemistry and Infectious Diseases, having authored 61 papers that have together received 939 indexed citations. Recurring topics across this work include Crystal structures of chemical compounds (9 papers), Metal complexes synthesis and properties (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Antibiotic Resistance in Bacteria (4 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Crystallography and molecular interactions (4 papers), vaccines and immunoinformatics approaches (4 papers) and Microencapsulation and Drying Processes (3 papers). The work is most often cited by research in Microbiology (81 citations), Filtration and Separation (28 citations), Molecular Medicine (40 citations), Cancer Research (102 citations) and Infectious Diseases (124 citations). Daixi Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dong‐Qing Wei, Baolin Liu, Shaobo Wang, Junping Wang, Jinghong Zhao, Cheng‐Lung Chen, Cheng Wang, Lu Xie, Xiaoming He and Jian Ouyang. Their work appears in journals such as Molecular Simulation, Journal of Molecular Modeling, Applied Organometallic Chemistry, New Journal of Chemistry and Frontiers in Microbiology.
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.