Youfang Cao

2.5k total citations · 1 hit paper
55 papers, 1.9k citations indexed

About

Youfang Cao is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Youfang Cao has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Plant Science and 10 papers in Infectious Diseases. Recurrent topics in Youfang Cao's work include Gene Regulatory Network Analysis (15 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and Plant Stress Responses and Tolerance (6 papers). Youfang Cao is often cited by papers focused on Gene Regulatory Network Analysis (15 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and Plant Stress Responses and Tolerance (6 papers). Youfang Cao collaborates with scholars based in United States, China and United Kingdom. Youfang Cao's co-authors include Kexuan Tang, Liping Zhao, Weiying Hua, Xiaojun Zhang, Yuejian Mao, Guoping Zhao, Chenhong Zhang, Yan Chen, Ruijun Han and Xiaoyan Pang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Chemical Physics.

In The Last Decade

Youfang Cao

52 papers receiving 1.9k citations

Hit Papers

Interactions between gut ... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youfang Cao United States 17 1.2k 394 320 247 246 55 1.9k
Yoshimitsu Maede Japan 26 762 0.6× 538 1.4× 416 1.3× 48 0.2× 347 1.4× 134 2.4k
Muḥammad Mukhtār United States 25 730 0.6× 76 0.2× 590 1.8× 590 2.4× 263 1.1× 125 2.4k
Tom Barrett United Kingdom 15 757 0.6× 295 0.7× 102 0.3× 88 0.4× 288 1.2× 23 2.1k
Yuanyi Peng China 25 1.0k 0.8× 289 0.7× 153 0.5× 35 0.1× 256 1.0× 74 2.4k
Young Min Lee South Korea 21 347 0.3× 159 0.4× 342 1.1× 148 0.6× 344 1.4× 91 1.8k
Sandra Coccuzzo Sampaio Brazil 23 1.1k 0.9× 443 1.1× 37 0.1× 90 0.4× 167 0.7× 78 2.1k
Ruitang Deng United States 29 506 0.4× 65 0.2× 179 0.6× 113 0.5× 325 1.3× 46 2.3k
Robert V. House United States 29 560 0.5× 186 0.5× 66 0.2× 130 0.5× 144 0.6× 90 2.4k
Abdoulaye Dabo Mali 27 350 0.3× 281 0.7× 85 0.3× 40 0.2× 206 0.8× 80 2.0k
Jörg Hofmann Germany 28 1.7k 1.4× 313 0.8× 1.1k 3.5× 21 0.1× 171 0.7× 60 3.0k

Countries citing papers authored by Youfang Cao

Since Specialization
Citations

This map shows the geographic impact of Youfang Cao'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 Youfang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youfang Cao more than expected).

Fields of papers citing papers by Youfang Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youfang Cao. 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 Youfang Cao. The network helps show where Youfang Cao may publish in the future.

Co-authorship network of co-authors of Youfang Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Youfang Cao. A scholar is included among the top collaborators of Youfang Cao 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 Youfang Cao. Youfang Cao 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.
Chawla, Akshita, Ruthie Birger, Brian M. Maas, et al.. (2025). Comparison of Molnupiravir Exposure‐Response Relationships for Virology Response and Mechanism of Action Biomarkers With Clinical Outcomes in Treatment of COVID‐19. Clinical and Translational Science. 18(4). e70184–e70184.
2.
Liu, Shuyan, Lili Fu, Xiaomeng Xia, et al.. (2025). The fusion of machine olfactory data and UV–Vis-NIR-MIR spectra enabled accurate prediction of key soil nutrients. Geoderma. 453. 117161–117161.
3.
Charil, Arnaud, Youfang Cao, Brian A. Willis, et al.. (2024). Lecanemab Slows Tau PET Accumulation. Alzheimer s & Dementia. 20(S6). 3 indexed citations
4.
Majid, Oneeb, Youfang Cao, Brian A. Willis, et al.. (2024). Population pharmacokinetics and exposure–response analyses of safety (ARIA‐E and isolated ARIA‐H) of lecanemab in subjects with early Alzheimer's disease. CPT Pharmacometrics & Systems Pharmacology. 13(12). 2111–2123. 6 indexed citations
5.
Chawla, Akshita, Ruthie Birger, Hong Wan, et al.. (2023). Factors Influencing COVID‐19 Risk: Insights From Molnupiravir Exposure‐Response Modeling of Clinical Outcomes. Clinical Pharmacology & Therapeutics. 113(6). 1337–1345. 6 indexed citations
6.
Matthews, Randolph P., Youfang Cao, Munjal Patel, et al.. (2022). Safety and Pharmacokinetics of Islatravir in Individuals with Severe Renal Insufficiency. Antimicrobial Agents and Chemotherapy. 66(12). e0093122–e0093122. 7 indexed citations
7.
Cao, Youfang, et al.. (2021). Exact Probability Landscapes of Stochastic Phenotype Switching in Feed-Forward Loops: Phase Diagrams of Multimodality. Frontiers in Genetics. 12. 645640–645640. 6 indexed citations
8.
Cleary, Rachel A., Douglas D. Richman, Michael G. Hudgens, et al.. (2020). HIV persistence in tissue macrophages of humanized myeloid-only mice during antiretroviral therapy. UNC Libraries.
9.
Cao, Youfang, Emily K. Cartwright, Guido Silvestri, & Alan S. Perelson. (2018). CD8+ lymphocyte control of SIV infection during antiretroviral therapy. PLoS Pathogens. 14(10). e1007350–e1007350. 24 indexed citations
10.
Razooky, Brandon S., Youfang Cao, Maike M. K. Hansen, et al.. (2017). Nonlatching positive feedback enables robust bimodality by decoupling expression noise from the mean. PLoS Biology. 15(10). e2000841–e2000841. 20 indexed citations
12.
13.
Chen, Tianqi, et al.. (2012). Understand the noise of CI expression in phage λ lysogen. Chinese Control Conference. 7432–7436. 1 indexed citations
14.
Cao, Youfang, Chengzhen Liang, Hammad Naveed, et al.. (2012). Modeling spatial population dynamics of stem cell lineage in tissue growth. PubMed. 144. 5502–5505. 9 indexed citations
15.
Zhang, Chenhong, Menghui Zhang, Shengyue Wang, et al.. (2009). Interactions between gut microbiota, host genetics and diet relevant to development of metabolic syndromes in mice. The ISME Journal. 4(2). 232–241. 818 indexed citations breakdown →
16.
Zuo, Kaijing, Jie Qin, Jingya Zhao, et al.. (2007). Over-expression GbERF2 transcription factor in tobacco enhances brown spots disease resistance by activating expression of downstream genes. Gene. 391(1-2). 80–90. 67 indexed citations
17.
Zhang, Lida, Shunwu Yu, Youfang Cao, et al.. (2006). Distributional gradient of amino acid repeats in plant proteins. Genome. 49(8). 900–905. 13 indexed citations
18.
Cao, Youfang, Lianjie Wang, Chunhai Kou, et al.. (2005). Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates. BMC Bioinformatics. 6(1). 190–190. 23 indexed citations
19.
Zhang, Lida, Dejun Yuan, Shunwu Yu, et al.. (2004). Preference of simple sequence repeats in coding and non-coding regions of Arabidopsis thaliana. Bioinformatics. 20(7). 1081–1086. 103 indexed citations
20.
Li, Zhugang, Lingxia Zhao, Shunwu Yu, et al.. (2004). Cloning and expression analysis of a water stress-induced gene from Brassica oleracea. Plant Physiology and Biochemistry. 42(10). 789–794. 10 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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