Ci Fu

1.4k total citations · 1 hit paper
27 papers, 861 citations indexed

About

Ci Fu is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Ci Fu has authored 27 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Epidemiology and 10 papers in Plant Science. Recurrent topics in Ci Fu's work include Fungal Infections and Studies (16 papers), Fungal and yeast genetics research (10 papers) and Antifungal resistance and susceptibility (8 papers). Ci Fu is often cited by papers focused on Fungal Infections and Studies (16 papers), Fungal and yeast genetics research (10 papers) and Antifungal resistance and susceptibility (8 papers). Ci Fu collaborates with scholars based in United States, Canada and South Korea. Ci Fu's co-authors include Stephen J. Free, Joseph Heitman, Leah E. Cowen, Nicole Robbins, Nicole M. Revie, Kali R. Iyer, Abhiram Maddi, Angela Stout, Priyadarshini Iyer and María E. Cárdenas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Ci Fu

25 papers receiving 855 citations

Hit Papers

Treatment strategies for cryptococcal infection: challeng... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ci Fu United States 16 458 355 339 303 149 27 861
Daryl L. Richie United States 15 438 1.0× 208 0.6× 232 0.7× 228 0.8× 181 1.2× 22 776
Kevin K. Fuller United States 12 370 0.8× 206 0.6× 238 0.7× 295 1.0× 181 1.2× 20 711
Yona Shadkchan Israel 18 316 0.7× 217 0.6× 294 0.9× 369 1.2× 92 0.6× 25 724
Frédérique Moyrand France 18 397 0.9× 691 1.9× 360 1.1× 554 1.8× 160 1.1× 23 1.1k
Stephanie Diezmann United States 12 459 1.0× 631 1.8× 323 1.0× 549 1.8× 209 1.4× 16 1.2k
Karine Dementhon France 12 401 0.9× 175 0.5× 378 1.1× 140 0.5× 137 0.9× 20 715
Jean-Paul Debeaupuis France 10 444 1.0× 340 1.0× 578 1.7× 629 2.1× 286 1.9× 11 1.3k
Isabel Valsecchi France 14 451 1.0× 179 0.5× 471 1.4× 282 0.9× 75 0.5× 29 882
Laetitia Muszkieta France 11 320 0.7× 171 0.5× 257 0.8× 313 1.0× 84 0.6× 13 668
Silvia Calo Spain 12 315 0.7× 272 0.8× 380 1.1× 291 1.0× 77 0.5× 17 812

Countries citing papers authored by Ci Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ci Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ci Fu. A scholar is included among the top collaborators of Ci Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ci Fu. Ci Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fu, Ci, Nicole Robbins, & Leah E. Cowen. (2025). Adaptation of the tetracycline-repressible system for modulating the expression of essential genes in Cryptococcus neoformans. mSphere. 10(5). e0101824–e0101824.
2.
Fu, Ci, Linda Archambault, Tingliang Zhuang, et al.. (2025). Expansion of the functional genomics GRACE library reveals genes relevant for temperature-dependent fitness in Candida albicans. PLoS Biology. 23(10). e3003409–e3003409.
3.
Yan, Huijuan, Henry N. Ward, Zhen-Yuan Lin, et al.. (2024). Functional genomic analysis of genes important for Candida albicans fitness in diverse environmental conditions. Cell Reports. 43(8). 114601–114601. 6 indexed citations
4.
Fu, Ci, et al.. (2024). The Cryptococcus neoformans STRIPAK complex controls genome stability, sexual development, and virulence. PLoS Pathogens. 20(11). e1012735–e1012735. 7 indexed citations
5.
Roth, Cullen, Debra Murray, Ci Fu, et al.. (2021). Pleiotropy and epistasis within and between signaling pathways defines the genetic architecture of fungal virulence. PLoS Genetics. 17(1). e1009313–e1009313. 9 indexed citations
6.
Fu, Ci, Sheng Sun, Vikas Yadav, et al.. (2021). Dynamic genome plasticity during unisexual reproduction in the human fungal pathogen Cryptococcus deneoformans. PLoS Genetics. 17(11). e1009935–e1009935. 12 indexed citations
7.
Iyer, Kali R., Nicole M. Revie, Ci Fu, Nicole Robbins, & Leah E. Cowen. (2021). Treatment strategies for cryptococcal infection: challenges, advances and future outlook. Nature Reviews Microbiology. 19(7). 454–466. 229 indexed citations breakdown →
8.
Ianiri, Giuseppe, Marco A. Coelho, Fiorella Ruchti, et al.. (2020). HGT in the human and skin commensal Malassezia : A bacterially derived flavohemoglobin is required for NO resistance and host interaction. Proceedings of the National Academy of Sciences. 117(27). 15884–15894. 28 indexed citations
9.
Sun, Sheng, Ci Fu, Giuseppe Ianiri, & Joseph Heitman. (2019). The Pheromone and Pheromone Receptor Mating-Type Locus Is Involved in Controlling Uniparental Mitochondrial Inheritance in Cryptococcus. Genetics. 214(3). 703–717. 16 indexed citations
10.
Son, Ye-Eun, Ci Fu, Won Hee Jung, et al.. (2019). Pbp1-Interacting Protein Mkt1 Regulates Virulence and Sexual Reproduction in Cryptococcus neoformans. Frontiers in Cellular and Infection Microbiology. 9. 355–355. 7 indexed citations
11.
Fu, Ci, et al.. (2019). Genetic and genomic evolution of sexual reproduction: echoes from LECA to the fungal kingdom. Current Opinion in Genetics & Development. 58-59. 70–75. 15 indexed citations
12.
Fu, Ci, et al.. (2019). Unisexual reproduction promotes competition for mating partners in the global human fungal pathogen Cryptococcus deneoformans. PLoS Genetics. 15(9). e1008394–e1008394. 5 indexed citations
13.
15.
Chow, Eve W. L., Ci Fu, Erik J. Soderblom, et al.. (2016). Calcineurin Targets Involved in Stress Survival and Fungal Virulence. PLoS Pathogens. 12(9). e1005873–e1005873. 68 indexed citations
16.
Fu, Ci, Sheng Sun, R. Blake Billmyre, Kevin Roach, & Joseph Heitman. (2014). Unisexual versus bisexual mating in Cryptococcus neoformans: Consequences and biological impacts. Fungal Genetics and Biology. 78. 65–75. 34 indexed citations
17.
Fu, Ci, et al.. (2014). Characterization of the Neurospora crassa Cell Fusion Proteins, HAM-6, HAM-7, HAM-8, HAM-9, HAM-10, AMPH-1 and WHI-2. PLoS ONE. 9(10). e107773–e107773. 39 indexed citations
19.
Maddi, Abhiram, et al.. (2012). WSC-1 and HAM-7 Are MAK-1 MAP Kinase Pathway Sensors Required for Cell Wall Integrity and Hyphal Fusion in Neurospora crassa. PLoS ONE. 7(8). e42374–e42374. 58 indexed citations
20.
Maddi, Abhiram, Ci Fu, & Stephen J. Free. (2012). The Neurospora crassa dfg5 and dcw1 Genes Encode α-1,6-Mannanases That Function in the Incorporation of Glycoproteins into the Cell Wall. PLoS ONE. 7(6). e38872–e38872. 47 indexed citations

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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