Ci Fu
Impact in
- Epidemiology top 10%
- Fungal Infections and Studies
- Molecular Biology top 10%
- Fungal and yeast genetics research
Papers in
- Epidemiology 14
- Fungal Infections and Studies 13
- Nail Diseases and Treatments 1
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- Fungal and yeast genetics research 23
- Signaling Pathways in Disease 1
- Co-authors
- Stephen J. Free (7 shared papers)Joseph Heitman (13 shared papers)Leah E. Cowen (8 shared papers)Nicole Robbins (7 shared papers)Kali R. Iyer (1 shared paper)Nicole M. Revie (1 shared paper)Abhiram Maddi (2 shared papers)Priyadarshini Iyer (1 shared paper)
- Journals
- PLoS Genetics (4 papers)PLoS ONE (4 papers)Genetics (3 papers)Nature Communications (2 papers)G3 Genes Genomes Genetics (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Ci Fu
28 papers receiving 1k citations
Ci Fu's Hit Papers
Peers
Comparison fields: 5 of 60
- Epidemiology 322
- Molecular Biology 584
- Infectious Diseases 162
- Cell Biology 54
- Health Informatics 7
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 29 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 | 267 |
| 2 | 2011 | 137 | |
| 3 | 2016 | 79 | |
| 4 | 2021 | 63 | |
| 5 | 2012 | 61 | |
| 6 | 2012 | 51 | |
| 7 | 2014 | 42 | |
| 8 | 2014 | 39 | |
| 9 | 2014 | 38 | |
| 10 | 2020 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2017 | 30 | |
| 13 | 2021 | 24 | |
| 14 | 2014 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 18 | |
| 17 | 2014 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2017 | 14 | |
| 20 | 2024 | 14 |
About Ci Fu
Ci Fu is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Industrial and Manufacturing Engineering and Cell Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (23 papers), Fungal Infections and Studies (13 papers), Antifungal resistance and susceptibility (2 papers), Sustainable Industrial Ecology (1 paper), Signaling Pathways in Disease (1 paper), Nail Diseases and Treatments (1 paper) and Hemoglobin structure and function (1 paper). The work is most often cited by research in Epidemiology (322 citations), Molecular Biology (584 citations), Infectious Diseases (162 citations), Cell Biology (54 citations) and Health Informatics (7 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, Priyadarshini Iyer, Angela Stout and Anne Dettmann. Their work appears in journals such as PLoS Genetics, PLoS ONE, Genetics, Nature Communications and G3 Genes Genomes Genetics.
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.