Haoping Liu
Impact in
- Infectious Diseases top 0.5%
- Antifungal resistance and susceptibility
- Epidemiology top 1%
- Fungal Infections and Studies
Papers in
-
- Antifungal resistance and susceptibility 33
- Epidemiology 23
- Fungal Infections and Studies 23
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- Gerald R. FinkCora A. StylesYang LüJulia R. KöhlerChang SuShelley LaneJiangye ChenSong Chou
- Journals
- Eukaryotic Cell (6 papers)PLoS Pathogens (5 papers)Molecular and Cellular Biology (5 papers)Nature Communications (4 papers)Molecular Microbiology (4 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haoping Liu
55 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 2.8k
- Epidemiology 1.9k
- Molecular Biology 2.8k
- Food Science 632
- Microbiology 184
Countries citing papers authored by Haoping Liu
This map shows the geographic impact of Haoping 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 Haoping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoping Liu more than expected).
Fields of papers citing papers by Haoping Liu
This network shows the impact of papers produced by Haoping 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 Haoping Liu. The network helps show where Haoping Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haoping 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 35 | |
| 4 | 2022 | 34 | |
| 5 | 2019 | 31 | |
| 6 | 2018 | 25 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 23 | |
| 9 | 2015 | 17 | |
| 10 | 2014 | 83 | |
| 11 | 2014 | 152 | |
| 12 | 2010 | 12 | |
| 13 | 2009 | 60 | |
| 14 | 2008 | 70 | |
| 15 | 2006 | 244 | |
| 16 | 2006 | 19 | |
| 17 | 2004 | 120 | |
| 18 | 2002 | 93 | |
| 19 | 2002 | 115 | |
| 20 | 2000 | 57 |
About Haoping Liu
Haoping Liu is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Microbiology and Oncology, having authored 56 papers that have together received 4.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (33 papers), Fungal and yeast genetics research (26 papers), Fungal Infections and Studies (23 papers), Peptidase Inhibition and Analysis (8 papers), Polyamine Metabolism and Applications (4 papers), Plant Reproductive Biology (3 papers), Antimicrobial Peptides and Activities (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Epidemiology (1.9k citations), Molecular Biology (2.8k citations), Food Science (632 citations) and Microbiology (184 citations). Haoping Liu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Gerald R. Fink, Cora A. Styles, Yang Lü, Julia R. Köhler, Chang Su, Shelley Lane, Jiangye Chen, Song Chou, Idit Hazan and Song Zhou. Their work appears in journals such as Eukaryotic Cell, PLoS Pathogens, Molecular and Cellular Biology, Nature Communications and Molecular 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.