Kai Mao

4.1k total citations
86 papers, 2.8k citations indexed

About

Kai Mao is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Kai Mao has authored 86 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Cancer Research and 18 papers in Epidemiology. Recurrent topics in Kai Mao's work include Autophagy in Disease and Therapy (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (9 papers). Kai Mao is often cited by papers focused on Autophagy in Disease and Therapy (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (9 papers). Kai Mao collaborates with scholars based in China, United States and Canada. Kai Mao's co-authors include Daniel J. Klionsky, Ke Wang, Xu Liu, Paul A. Volden, Satoru Kobayashi, Qiangrong Liang, Xianmin Xu, Derek Timm, Zhiyu Xiao and Jieqiong Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kai Mao

82 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Mao China	31	1.4k	1.0k	453	374	351	86	2.8k
Chengqun Huang United States	20	1.7k 1.2×	1.2k 1.2×	542 1.2×	220 0.6×	146 0.4×	27	3.1k
Anjali K. Nath United States	20	1.4k 1.0×	748 0.7×	224 0.5×	350 0.9×	335 1.0×	38	3.2k
Xuan Cheng China	26	1.5k 1.0×	304 0.3×	176 0.4×	531 1.4×	365 1.0×	89	2.6k
Tomomi Ueyama Japan	31	1.9k 1.4×	647 0.6×	484 1.1×	336 0.9×	186 0.5×	70	3.4k
Reid Huber United States	19	1.5k 1.1×	1.0k 1.0×	354 0.8×	243 0.6×	570 1.6×	50	3.5k
Lingfang Zeng United Kingdom	37	2.2k 1.6×	465 0.5×	672 1.5×	604 1.6×	275 0.8×	75	3.7k
Maria Philippova Switzerland	25	1.5k 1.0×	337 0.3×	435 1.0×	250 0.7×	145 0.4×	51	2.6k
Yun Zhong China	25	1.2k 0.9×	559 0.5×	184 0.4×	540 1.4×	142 0.4×	66	2.3k
Thomas P. Zwaka United States	24	3.3k 2.3×	746 0.7×	242 0.5×	280 0.7×	288 0.8×	47	4.9k

Countries citing papers authored by Kai Mao

Since Specialization

Citations

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

Fields of papers citing papers by Kai Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Mao. A scholar is included among the top collaborators of Kai Mao 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 Kai Mao. Kai Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guo, Shang, et al.. (2024). Postharvest quality and metabolism changes of daylily flower buds treated with hydrogen sulfide during storage. Postharvest Biology and Technology. 212. 112890–112890. 9 indexed citations

Chen, Shuqin, et al.. (2024). Characterizing energy-related occupant behavior towards urban residential buildings in China with statistical database establishment. Energy and Buildings. 324. 114889–114889. 2 indexed citations

Xu, Wenjing, Yifan Sun, Peter C. Breen, Gary Ruvkun, & Kai Mao. (2024). Caenorhabditis elegans inositol hexaphosphate pathways couple to RNA interference and pathogen defense. Proceedings of the National Academy of Sciences. 121(49). e2416982121–e2416982121. 2 indexed citations

Liu, Ziwei, et al.. (2024). Analysis of the implication of steroid 5 alpha-reductase 3 on prognosis and immune microenvironment in Liver Hepatocellular Carcinoma. Annals of Medicine. 56(1). 2408463–2408463.

Chen, Shuqin, et al.. (2023). Prediction of urban residential energy consumption intensity in China toward 2060 under regional development scenarios. Sustainable Cities and Society. 99. 104924–104924. 14 indexed citations

Liu, Haohan, Yongcong Yan, Jianhong Lin, et al.. (2022). Circular RNA circSFMBT2 downregulation by HBx promotes hepatocellular carcinoma metastasis via the miR-665/TIMP3 axis. Molecular Therapy — Nucleic Acids. 29. 788–802. 16 indexed citations

Yan, Yongcong, Jianhong Lin, Mengyu Zhang, et al.. (2020). A Novel Staging System to Forecast the Cancer-Specific Survival of Patients With Resected Gallbladder Cancer. Frontiers in Oncology. 10. 1281–1281. 4 indexed citations

Liao, Jing, Jinzhu Li, Zhiyu Xiao, et al.. (2019). Targeting adenosinergic pathway enhances the anti-tumor efficacy of sorafenib in hepatocellular carcinoma. Hepatology International. 14(1). 80–95. 21 indexed citations

Yan, Yongcong, Haohan Liu, Jianhong Lin, et al.. (2019). Integrated Nomograms for Preoperative Prediction of Microvascular Invasion and Lymph Node Metastasis Risk in Hepatocellular Carcinoma Patients. Annals of Surgical Oncology. 27(5). 1361–1371. 24 indexed citations

10.

Liu, Jieqiong, Hui‐Shan Guo, Kai Mao, et al.. (2016). Impact of estrogen receptor-β expression on breast cancer prognosis: a meta-analysis. Breast Cancer Research and Treatment. 156(1). 149–162. 16 indexed citations

11.

Mao, Kai, Wen Jiang, Jieqiong Liu, & Jie Wang. (2015). Incidence of Subsequent Cholangiocarcinomas After Another Malignancy. Medicine. 94(8). e596–e596. 7 indexed citations

12.

Wang, Yidong, Bingruo Wu, Emily Farrar, et al.. (2015). Notch-Tnf signalling is required for development and homeostasis of arterial valves. European Heart Journal. 38(9). ehv520–ehv520. 55 indexed citations

13.

Jin, Natsuko, Kai Mao, Yui Jin, et al.. (2014). Roles for PI(3,5)P₂ in nutrient sensing through TORC1. Molecular Biology of the Cell. 25(7). 1171–1185. 64 indexed citations

14.

Li, Jun, et al.. (2014). Clinical significance of serum T helper 1/T helper 2 cytokine shift in patients with non-small cell lung cancer. Oncology Letters. 8(4). 1682–1686. 33 indexed citations

15.

Mao, Kai, Ke Wang, Xu Liu, & Daniel J. Klionsky. (2013). The Scaffold Protein Atg11 Recruits Fission Machinery to Drive Selective Mitochondria Degradation by Autophagy. Developmental Cell. 26(1). 9–18. 188 indexed citations

16.

Kagezi, Godfrey H., et al.. (2010). Pest status and control options for termites (Isoptera) in the Luhya Community of Western Kenya.. Sociobiology. 55(3). 815–830. 4 indexed citations

17.

Mao, Kai, Satoru Kobayashi, Zahara M. Jaffer, et al.. (2007). Regulation of Akt/PKB activity by P21-activated kinase in cardiomyocytes. Journal of Molecular and Cellular Cardiology. 44(2). 429–434. 71 indexed citations

18.

Wang, Zan, Kai Mao, Yanqi Wu, Hongwen Gao, & Jianguo Han. (2004). Assessment of Genetic Diversity of Native Bermudagrass Accessions Collected in Panxi Region,Sichuan Province. Acta Agrestia Sinica. 12(2). 120–123.

19.

Li, Xi, et al.. (2004). Soil substrate effects on cold resistance of Emei Eremochloa ophiuroides. Acta Pratacultural Science. 13(2). 84–88. 2 indexed citations

20.

Mao, Kai. (2000). Studies on centipedegrass. Caoye kexue. 1 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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