Han Du
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- Epidemiology top 2%
- Fungal Infections and Studies
Papers in
-
- Antifungal resistance and susceptibility 27
- Epidemiology 23
- Fungal Infections and Studies 20
- Co-authors
- Guanghua Huang (28 shared papers)Jian Bing (15 shared papers)Clarissa J. Nobile (12 shared papers)Tianren Hu (7 shared papers)Craig L. Ennis (3 shared papers)Guobo Guan (8 shared papers)Qiushi Zheng (10 shared papers)Tomomi Kuwana (3 shared papers)
- Journals
- Emerging Microbes & Infections (3 papers)Molecular Biology of the Cell (3 papers)PLoS Pathogens (2 papers)PLoS Biology (2 papers)Virulence (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Han Du
60 papers receiving 2.0k citations
Han Du's Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.2k
- Epidemiology 813
- Microbiology 109
- Periodontics 51
- Food Science 194
Countries citing papers authored by Han Du
This map shows the geographic impact of Han Du'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 Han Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Du more than expected).
Fields of papers citing papers by Han Du
This network shows the impact of papers produced by Han Du. 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 Han Du. The network helps show where Han Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Du, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Candida auris: Epidemiology, biology, antifungal resistance, and virulence Hit paper breakdown → | 2020 | 395 |
| 2 | 2018 | 150 | |
| 3 | 2010 | 133 | |
| 4 | 2018 | 131 | |
| 5 | 2014 | 119 | |
| 6 | 2009 | 99 | |
| 7 | 2018 | 81 | |
| 8 | 2012 | 64 | |
| 9 | 2012 | 58 | |
| 10 | 2017 | 56 | |
| 11 | 2012 | 50 | |
| 12 | 2014 | 47 | |
| 13 | 2015 | 41 | |
| 14 | 2015 | 39 | |
| 15 | 2020 | 38 | |
| 16 | 2022 | 34 | |
| 17 | 2024 | 33 | |
| 18 | 2020 | 29 | |
| 19 | 2015 | 29 | |
| 20 | 2017 | 28 |
About Han Du
Han Du is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Mechanical Engineering and Food Science, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (27 papers), Fungal Infections and Studies (20 papers), Fungal and yeast genetics research (7 papers), Probiotics and Fermented Foods (4 papers), Peptidase Inhibition and Analysis (3 papers), Nematode management and characterization studies (3 papers), Cell death mechanisms and regulation (3 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Epidemiology (813 citations), Microbiology (109 citations), Periodontics (51 citations) and Food Science (194 citations). Han Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guanghua Huang, Jian Bing, Clarissa J. Nobile, Tianren Hu, Craig L. Ennis, Guobo Guan, Qiushi Zheng, Tomomi Kuwana, Tao Li and Huizhen Yue. Their work appears in journals such as Emerging Microbes & Infections, Molecular Biology of the Cell, PLoS Pathogens, PLoS Biology and Virulence.
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.