Han Du

60 papers receiving 2.1k citations

Han Du's Hit Papers

Candida auris: Epidemiology, biology, antifungal resistance, and virulence 2020 · 408 citations
4080+2+4Years since publication100200300400

Peers

Han Du
Comparison fields: 5 of 126
  • Infectious Diseases 1.2k
  • Epidemiology 834
  • Microbiology 111
  • Periodontics 52
  • Applied Microbiology and Biotechnology 21
Replace Christian Köhler with:
Christian Köhler Germany
Chad Johnson United States
Weida Liu China
Isabel M. Miranda Portugal
Alicja Węgrzyn Poland
Sang Sun Yoon South Korea
Pamela R. Hall United States
Emanuela Roscetto Italy
Alexandra Ivo de Medeiros Brazil
Saranna Fanning United States
Han Du relative to Christian Köhler Germany Christian Köhler's profile →
Citations per field
00.5×2.9×
Christian Köhler · 1×
Citations per year

Countries citing papers authored by Han Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Han Du Line = papers co-authored together Han Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2020408
2 2018153
3 2010137
4 2018134
5 2014125
6 2009102
7 201881
8 201267
9 201262
10 201759
11 201250
12 201450
13 201541
14 202040
15 201539
16 202234
17 202433
18 201530
19 202029
20 201728

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 2.1k 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 (834 citations), Microbiology (111 citations), Periodontics (52 citations) and Applied Microbiology and Biotechnology (21 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, Tomomi Kuwana, Qiushi Zheng, Tao Li and Huizhen Yue. Their work appears in journals such as Emerging Microbes & Infections, Molecular Biology of the Cell, Frontiers in Cellular and Infection Microbiology, Molecular Microbiology and Mycology: An International Journal on Fungal Biology.

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.

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