Kun Cao

3.5k total citations · 1 hit paper
31 papers, 3.0k citations indexed

About

Kun Cao is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Kun Cao has authored 31 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Kun Cao's work include DNA Repair Mechanisms (5 papers), Trace Elements in Health (5 papers) and Sulfur Compounds in Biology (5 papers). Kun Cao is often cited by papers focused on DNA Repair Mechanisms (5 papers), Trace Elements in Health (5 papers) and Sulfur Compounds in Biology (5 papers). Kun Cao collaborates with scholars based in China, Canada and United States. Kun Cao's co-authors include Rui Wang, Lingyun Wu, Bo Jiang, Guangdong Yang, Shengming Zhang, Solomon H. Snyder, Jiansong Qi, Qinghe Meng, Weitong Mu and Asif K. Mustafa and has published in prestigious journals such as Science, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Kun Cao

29 papers receiving 3.0k citations

Hit Papers

H 2 S as a Physiologic Vasorelaxant: Hypertension in Mice... 2008 2026 2014 2020 2008 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Cao China 15 2.3k 793 695 622 432 31 3.0k
Norihiro Shibuya Japan 18 3.0k 1.3× 556 0.7× 982 1.4× 672 1.1× 720 1.7× 30 3.5k
Xinggui Shen United States 28 1.9k 0.8× 643 0.8× 834 1.2× 446 0.7× 239 0.6× 52 2.9k
Ciro Coletta United States 26 2.9k 1.2× 836 1.1× 1.3k 1.9× 629 1.0× 240 0.6× 44 4.3k
Katalin Módis United States 28 2.8k 1.2× 776 1.0× 1.4k 2.1× 563 0.9× 248 0.6× 55 4.2k
Mark E. Wood United Kingdom 32 1.7k 0.7× 585 0.7× 961 1.4× 430 0.7× 82 0.2× 103 3.2k
Gábor Oláh United States 24 1.4k 0.6× 557 0.7× 934 1.3× 334 0.5× 83 0.2× 42 2.7k
Noriyuki Nagahara Japan 28 1.9k 0.8× 388 0.5× 1.3k 1.9× 349 0.6× 116 0.3× 62 3.2k
Bartosz Szczęsny United States 34 1.4k 0.6× 415 0.5× 2.0k 2.9× 234 0.4× 154 0.4× 62 3.7k
Tadayasu Togawa Japan 24 1.1k 0.5× 920 1.2× 657 0.9× 266 0.4× 193 0.4× 72 2.3k
T. Scott Isbell United States 18 1.0k 0.4× 647 0.8× 586 0.8× 343 0.6× 169 0.4× 33 2.4k

Countries citing papers authored by Kun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Cao. A scholar is included among the top collaborators of Kun 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 Kun Cao. Kun 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.
Liu, Tingting, Yongzhan Nie, Zhijie Wan, et al.. (2025). PRKCSH enhances colorectal cancer radioresistance via IRE1α/XBP1s-mediated DNA repair. Cell Death and Disease. 16(1). 258–258.
2.
Cao, Kun, Yufeng Sun, Xiaoyan Zhang, et al.. (2023). The miRNA–mRNA regulatory networks of the response to NaHCO3 stress in industrial hemp (Cannabis sativa L.). BMC Plant Biology. 23(1). 509–509. 5 indexed citations
3.
Liu, Xuejing, Yanjie Wang, Kun Cao, et al.. (2023). Impact of multifocal or multicentric disease on local recurrence and survival in breast cancer patients with or without BRCA1/2 variants. Breast Cancer Research and Treatment. 199(1). 25–33. 3 indexed citations
5.
Cao, Kun, Tianlong Zhang, Nan Li, et al.. (2022). Identification and Tetramer Structure of Hemin-Binding Protein SPD_0310 Linked to Iron Homeostasis and Virulence of Streptococcus pneumoniae. mSystems. 7(3). e0022122–e0022122. 8 indexed citations
6.
Cao, Kun, Linlin Cao, Xingfeng Yin, et al.. (2022). Potential Role of Lysine Acetylation in Antibiotic Resistance of Escherichia coli. mSystems. 7(6). e0064922–e0064922. 17 indexed citations
7.
Wu, Yun, Kun Cao, Wei Zhang, Guang‐Xian Zhang, & Maojun Zhou. (2021). Protective and Anti-Aging Effects of 5 Cosmeceutical Peptide Mixtures on Hydrogen Peroxide-Induced Premature Senescence in Human Skin Fibroblasts. Skin Pharmacology and Physiology. 34(4). 194–202. 12 indexed citations
8.
Cao, Kun, et al.. (2018). The mechanism of iron-compensation for manganese deficiency of Streptococcus pneumoniae. Journal of Proteomics. 184. 62–70. 7 indexed citations
9.
Cao, Kun, Jing Zhang, Xinyu Miao, et al.. (2018). Evolution and molecular mechanism of PitAs in iron transport of Streptococcus species. Journal of Inorganic Biochemistry. 182. 113–123. 6 indexed citations
10.
Cao, Kun, Nan Li, Xin Cao, et al.. (2018). Two zinc-binding domains in the transporter AdcA from facilitate high-affinity binding and fast transport of zinc. Journal of Biological Chemistry. 293(16). 6075–6089. 28 indexed citations
11.
Zhang, Liang, Nan Li, Kun Cao, et al.. (2016). Crucial residue Trp158 of lipoprotein PiaA stabilizes the ferrichrome-PiaA complex in Streptococcus pneumoniae. Journal of Inorganic Biochemistry. 167. 150–156. 15 indexed citations
12.
Guo, Zhong, Xiao-Yan Yang, Kun Cao, et al.. (2015). Proteomic analysis of the copper resistance of Streptococcus pneumoniae. Metallomics. 7(3). 448–454. 17 indexed citations
13.
Zhang, Jing, Liang Zhang, Xiao-Yan Yang, et al.. (2014). Proteomic analysis of putative heme-binding proteins in Streptococcus pyogenes. Metallomics. 6(8). 1451–1451. 3 indexed citations
14.
Li, Nan, Xiao-Yan Yang, Zhong Guo, et al.. (2014). Varied metal-binding properties of lipoprotein PsaA in Streptococcus pneumoniae. JBIC Journal of Biological Inorganic Chemistry. 19(6). 829–838. 19 indexed citations
15.
Sun, Xuesong, Guangchuang Yu, Qian Xu, et al.. (2013). Putative cobalt- and nickel-binding proteins and motifs in Streptococcus pneumoniae. Metallomics. 5(7). 928–928. 30 indexed citations
16.
Jiang, Bo, Guanghua Tang, Kun Cao, Lingyun Wu, & Rui Wang. (2009). Molecular Mechanism for H 2 S-Induced Activation of K ATP Channels. Antioxidants and Redox Signaling. 12(10). 1167–1178. 168 indexed citations
17.
Yang, Guangdong, Lingyun Wu, Bo Jiang, et al.. (2008). H 2 S as a Physiologic Vasorelaxant: Hypertension in Mice with Deletion of Cystathionine γ-Lyase. Science. 322(5901). 587–590. 2004 indexed citations breakdown →
18.
Ndisang, Joseph Fomusi, et al.. (2004). Hydrogen sulfide-induced relaxation of resistance mesenteric artery beds of rats. American Journal of Physiology-Heart and Circulatory Physiology. 287(5). H2316–H2323. 390 indexed citations
19.
Sun, Xianfeng, et al.. (2003). Selective expression of Kir6.1 protein in different vascular and non-vascular tissues. Biochemical Pharmacology. 67(1). 147–156. 28 indexed citations
20.
Cao, Kun, et al.. (2002). Molecular basis of ATP-sensitive K+ channels in rat vascular smooth muscles. Biochemical and Biophysical Research Communications. 296(2). 463–469. 33 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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