Ci Fu
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Epidemiology top 10%
- Fungal Infections and Studies
- Nail Diseases and Treatments
Papers in
-
- Fungal and yeast genetics research 10
- Yeasts and Rust Fungi Studies 6
- Epidemiology 17
- Fungal Infections and Studies 16
- Co-authors
- Stephen J. Free (7 shared papers)Joseph Heitman (13 shared papers)Leah E. Cowen (8 shared papers)Nicole Robbins (5 shared papers)Kali R. Iyer (1 shared paper)Nicole M. Revie (1 shared paper)Abhiram Maddi (2 shared papers)Angela Stout (1 shared paper)
- Journals
- PLoS Genetics (4 papers)PLoS ONE (4 papers)Genetics (3 papers)G3 Genes Genomes Genetics (2 papers)Fungal Genetics and Biology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Ci Fu
25 papers receiving 913 citations
Ci Fu's Hit Papers
Peers
Comparison fields: 5 of 68
- Infectious Diseases 315
- Epidemiology 366
- Cell Biology 155
- Pharmacology 148
- Plant Science 354
Countries citing papers authored by Ci Fu
This map shows the geographic impact of Ci Fu'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 Ci Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ci Fu more than expected).
Fields of papers citing papers by Ci Fu
This network shows the impact of papers produced by Ci Fu. 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 Ci Fu. The network helps show where Ci Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ci Fu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Treatment strategies for cryptococcal infection: challenges, advances and future outlook Hit paper breakdown → | 2021 | 242 |
| 2 | 2011 | 132 | |
| 3 | 2016 | 73 | |
| 4 | 2012 | 61 | |
| 5 | 2012 | 49 | |
| 6 | 2014 | 41 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 37 | |
| 9 | 2020 | 31 | |
| 10 | 2017 | 31 | |
| 11 | 2017 | 29 | |
| 12 | 2021 | 21 | |
| 13 | 2014 | 19 | |
| 14 | 2019 | 16 | |
| 15 | 2014 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2019 | 8 |
About Ci Fu
Ci Fu is a scholar working on Molecular Biology, Epidemiology, Plant Science, Infectious Diseases and Pharmacology, having authored 28 papers that have together received 920 indexed citations. Recurring topics across this work include Fungal Infections and Studies (16 papers), Fungal and yeast genetics research (10 papers), Antifungal resistance and susceptibility (9 papers), Yeasts and Rust Fungi Studies (6 papers), Plant-Microbe Interactions and Immunity (6 papers), Plant Pathogens and Fungal Diseases (3 papers), Fungal Biology and Applications (3 papers) and Plant Disease Resistance and Genetics (3 papers). The work is most often cited by research in Infectious Diseases (315 citations), Epidemiology (366 citations), Cell Biology (155 citations), Pharmacology (148 citations) and Plant Science (354 citations). Ci Fu has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stephen J. Free, Joseph Heitman, Leah E. Cowen, Nicole Robbins, Kali R. Iyer, Nicole M. Revie, Abhiram Maddi, Angela Stout, Priyadarshini Iyer and María E. Cárdenas. Their work appears in journals such as PLoS Genetics, PLoS ONE, Genetics, G3 Genes Genomes Genetics and Fungal Genetics and 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.