Nan Hao

2.3k total citations
51 papers, 1.6k citations indexed

About

Nan Hao is a scholar working on Molecular Biology, Aging and Biomedical Engineering. According to data from OpenAlex, Nan Hao has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 11 papers in Aging and 5 papers in Biomedical Engineering. Recurrent topics in Nan Hao's work include Gene Regulatory Network Analysis (24 papers), Fungal and yeast genetics research (21 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Nan Hao is often cited by papers focused on Gene Regulatory Network Analysis (24 papers), Fungal and yeast genetics research (21 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Nan Hao collaborates with scholars based in United States, China and Russia. Nan Hao's co-authors include Erin K. O’Shea, Henrik Dohlman, Timothy C. Elston, Marcelo Behar, Lev S. Tsimring, Jeff Hasty, Yang Li, Bogdan Budnik, Lorraine Pillus and Jeremy Gunawardena and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nan Hao

45 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Hao United States 19 1.3k 187 186 155 152 51 1.6k
Michael A. McMurray United States 21 1.8k 1.3× 244 1.3× 154 0.8× 600 3.9× 173 1.1× 45 2.0k
Alejandro Colman‐Lerner Argentina 23 1.5k 1.1× 42 0.2× 151 0.8× 243 1.6× 166 1.1× 46 1.9k
John L. Hartman United States 18 1.7k 1.3× 105 0.6× 55 0.3× 188 1.2× 145 1.0× 32 2.2k
R. Scott McIsaac United States 19 793 0.6× 73 0.4× 99 0.5× 117 0.8× 71 0.5× 27 1.1k
Jason Liu United States 14 1.6k 1.2× 111 0.6× 47 0.3× 101 0.7× 72 0.5× 37 2.2k
David Pincus United States 26 2.1k 1.6× 154 0.8× 99 0.5× 1.0k 6.5× 186 1.2× 47 2.6k
Nicholas F. Page United States 6 1.6k 1.2× 51 0.3× 55 0.3× 271 1.7× 148 1.0× 7 1.7k
Audrey S. Howell United States 14 958 0.7× 141 0.8× 57 0.3× 543 3.5× 152 1.0× 15 1.2k
Mary Berks United Kingdom 13 1.0k 0.8× 273 1.5× 114 0.6× 672 4.3× 157 1.0× 14 1.6k
Noah Ollikainen United States 17 2.3k 1.8× 241 1.3× 31 0.2× 191 1.2× 279 1.8× 27 2.8k

Countries citing papers authored by Nan Hao

Since Specialization
Citations

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

Fields of papers citing papers by Nan Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Hao. A scholar is included among the top collaborators of Nan Hao 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 Nan Hao. Nan Hao 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.
Godoy, Pere & Nan Hao. (2025). Design principles of gene circuits for longevity. Trends in Cell Biology. 35(10). 840–853.
2.
Wang, Wendong, et al.. (2025). Specific gut microbiota and serum metabolite changes in patients with osteoarthritis. Frontiers in Cell and Developmental Biology. 13. 1543510–1543510. 2 indexed citations
3.
Huang, Xiaobo, Nan Hao, Yuee Tian, et al.. (2024). Synthesis and Antifungal Evaluation of Cinnamic Acid‐Geraniol Hybrids as Potential Fungicides. Chemistry & Biodiversity. 21(12). e202401348–e202401348.
4.
Yan, Litao, Xianfeng Wang, Tiantian Yu, et al.. (2024). Characteristics of the gut microbiota and serum metabolites in postmenopausal women with reduced bone mineral density. Frontiers in Cellular and Infection Microbiology. 14. 1367325–1367325. 17 indexed citations
5.
Sarsam, Reta D., Jun Xu, Indrajit Lahiri, et al.. (2024). Elf1 promotes Rad26’s interaction with lesion-arrested Pol II for transcription-coupled repair. Proceedings of the National Academy of Sciences. 121(3). e2314245121–e2314245121. 10 indexed citations
6.
Zhou, Zhen, Yuting Liu, Lev S. Tsimring, et al.. (2023). Engineering longevity—design of a synthetic gene oscillator to slow cellular aging. Science. 380(6643). 376–381. 34 indexed citations
7.
Hao, Nan, et al.. (2023). Phase separation in DNA double-strand break response. Nucleus. 15(1). 2296243–2296243. 8 indexed citations
8.
O’Laughlin, Richard, et al.. (2023). A Standardized Set of MoClo-Compatible Inducible Promoter Systems for Tunable Gene Expression in Yeast. ACS Synthetic Biology. 13(1). 85–102. 3 indexed citations
9.
Naigles, Beverly, et al.. (2023). Quantifying dynamic pro-inflammatory gene expression and heterogeneity in single macrophage cells. Journal of Biological Chemistry. 299(10). 105230–105230. 3 indexed citations
10.
Cohen, Alan A., Luigi Ferrucci, Tamàs Fülöp, et al.. (2022). A complex systems approach to aging biology. Nature Aging. 2(7). 580–591. 99 indexed citations
11.
Kiratitanaporn, Wisarut, David B. Berry, Claire Yu, et al.. (2022). 3D printing a biocompatible elastomer for modeling muscle regeneration after volumetric muscle loss. Biomaterials Advances. 142. 213171–213171. 14 indexed citations
12.
Li, Yang, Yanfei Jiang, Richard O’Laughlin, et al.. (2020). A programmable fate decision landscape underlies single-cell aging in yeast. Science. 369(6501). 325–329. 77 indexed citations
13.
Jin, Meng, Yang Li, Richard O’Laughlin, et al.. (2019). Divergent Aging of Isogenic Yeast Cells Revealed through Single-Cell Phenotypic Dynamics. Cell Systems. 8(3). 242–253.e3. 37 indexed citations
14.
Baumgartner, Bridget, Richard O’Laughlin, Meng Jin, et al.. (2018). Flavin-based metabolic cycles are integral features of growth and division in single yeast cells. Scientific Reports. 8(1). 18045–18045. 13 indexed citations
15.
Li, Yang, Meng Jin, Richard O’Laughlin, et al.. (2017). Multigenerational silencing dynamics control cell aging. Proceedings of the National Academy of Sciences. 114(42). 11253–11258. 58 indexed citations
16.
Hao, Nan, Necmettin Yıldırım, Michal J. Nagiec, et al.. (2012). Combined computational and experimental analysis reveals mitogen-activated protein kinase–mediated feedback phosphorylation as a mechanism for signaling specificity. Molecular Biology of the Cell. 23(19). 3899–3910. 18 indexed citations
17.
Hao, Nan, Sujata Nayak, Marcelo Behar, et al.. (2008). Regulation of Cell Signaling Dynamics by the Protein Kinase-Scaffold Ste5. Molecular Cell. 30(5). 649–656. 102 indexed citations
18.
Hao, Nan, Yaxue Zeng, Timothy C. Elston, & Henrik Dohlman. (2008). Control of MAPK Specificity by Feedback Phosphorylation of Shared Adaptor Protein Ste50. Journal of Biological Chemistry. 283(49). 33798–33802. 57 indexed citations
19.
Hao, Nan, Marcelo Behar, Timothy C. Elston, & Henrik Dohlman. (2007). Systems biology analysis of G protein and MAP kinase signaling in yeast. Oncogene. 26(22). 3254–3266. 31 indexed citations
20.
Hao, Nan, Necmettin Yıldırım, Yuqi Wang, Timothy C. Elston, & Henrik Dohlman. (2003). Regulators of G Protein Signaling and Transient Activation of Signaling. Journal of Biological Chemistry. 278(47). 46506–46515. 66 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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