Weida Liu
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Cell Biology top 2%
- Plant Pathogens and Fungal Diseases
Papers in
- Epidemiology 102
- Fungal Infections and Studies 78
- Nail Diseases and Treatments 50
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- Antifungal resistance and susceptibility 68
- Co-authors
- Ping Zhan (8 shared papers)Guanzhao Liang (36 shared papers)Yongnian Shen (44 shared papers)Dongmei Li (37 shared papers)Huan Mei (38 shared papers)Balaji Pathakumari (1 shared paper)Hailin Zheng (34 shared papers)Xiaofang Li (27 shared papers)
- Journals
- Mycopathologia (21 papers)Mycoses (20 papers)Antimicrobial Agents and Chemotherapy (5 papers)Medical Mycology (5 papers)Frontiers in Immunology (4 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Weida Liu
145 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 824
- Cell Biology 655
- Epidemiology 1.2k
- Dermatology 172
- Microbiology 105
Countries citing papers authored by Weida Liu
This map shows the geographic impact of Weida 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 Weida Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weida Liu more than expected).
Fields of papers citing papers by Weida Liu
This network shows the impact of papers produced by Weida 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 Weida Liu. The network helps show where Weida Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weida 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 184 | |
| 2 | 2020 | 159 | |
| 3 | 2013 | 86 | |
| 4 | 2021 | 79 | |
| 5 | 2017 | 60 | |
| 6 | 2023 | 55 | |
| 7 | 2001 | 54 | |
| 8 | 2015 | 53 | |
| 9 | 2013 | 51 | |
| 10 | 2015 | 50 | |
| 11 | 2008 | 49 | |
| 12 | 2015 | 48 | |
| 13 | 2009 | 44 | |
| 14 | 2016 | 44 | |
| 15 | 2015 | 43 | |
| 16 | 2015 | 41 | |
| 17 | 2016 | 38 | |
| 18 | 2019 | 35 | |
| 19 | 2013 | 35 | |
| 20 | 2016 | 33 |
About Weida Liu
Weida Liu is a scholar working on Epidemiology, Infectious Diseases, Cell Biology, Molecular Biology and Small Animals, having authored 156 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal Infections and Studies (78 papers), Antifungal resistance and susceptibility (68 papers), Nail Diseases and Treatments (50 papers), Plant Pathogens and Fungal Diseases (50 papers), Infectious Diseases and Mycology (19 papers), Peptidase Inhibition and Analysis (9 papers), Fungal Biology and Applications (7 papers) and Antimicrobial Peptides and Activities (6 papers). The work is most often cited by research in Infectious Diseases (824 citations), Cell Biology (655 citations), Epidemiology (1.2k citations), Dermatology (172 citations) and Microbiology (105 citations). Weida Liu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ping Zhan, Guanzhao Liang, Yongnian Shen, Dongmei Li, Huan Mei, Balaji Pathakumari, Hailin Zheng, Xiaofang Li, Sybren de Hoog and Xiaodong She. Their work appears in journals such as Mycopathologia, Mycoses, Antimicrobial Agents and Chemotherapy, Medical Mycology and Frontiers in Immunology.
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.