Kangmao Huang

1.8k total citations
31 papers, 1.4k citations indexed

About

Kangmao Huang is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Kangmao Huang has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Pharmacology. Recurrent topics in Kangmao Huang's work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (9 papers) and Cancer-related molecular mechanisms research (5 papers). Kangmao Huang is often cited by papers focused on MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (9 papers) and Cancer-related molecular mechanisms research (5 papers). Kangmao Huang collaborates with scholars based in China and United States. Kangmao Huang's co-authors include Shuying Shen, Yan Ma, Yizheng Wu, Ziang Xie, Junxin Chen, Xiangqian Fang, Jiying Wang, Shunwu Fan, Gangliang Wang and Weiyu Ni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Scientific Reports.

In The Last Decade

Kangmao Huang

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangmao Huang China 17 937 602 197 146 142 31 1.4k
Peiheng He China 19 762 0.8× 581 1.0× 103 0.5× 125 0.9× 84 0.6× 39 1.1k
María Isabel Guillén Spain 21 667 0.7× 182 0.3× 364 1.8× 168 1.2× 80 0.6× 33 1.3k
Renpeng Zhou China 19 679 0.7× 230 0.4× 246 1.2× 70 0.5× 45 0.3× 68 1.2k
Dongsheng Yu China 18 364 0.4× 193 0.3× 313 1.6× 88 0.6× 89 0.6× 33 1.1k
Peijian Tong China 19 443 0.5× 144 0.2× 325 1.6× 167 1.1× 76 0.5× 55 868
Qin Bian China 18 520 0.6× 131 0.2× 317 1.6× 298 2.0× 311 2.2× 45 1.1k
Haiyan Zhang China 19 505 0.5× 203 0.3× 463 2.4× 156 1.1× 48 0.3× 50 1.1k

Countries citing papers authored by Kangmao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kangmao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangmao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kangmao Huang. A scholar is included among the top collaborators of Kangmao Huang 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 Kangmao Huang. Kangmao Huang 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.
2.
Zhang, Deguang, Tao Li, Xiaoxiao Lu, et al.. (2022). CircRNA circTIAM1 promotes papillary thyroid cancer progression through the miR-646/HNRNPA1 signaling pathway. Cell Death Discovery. 8(1). 21–21. 29 indexed citations
3.
Guo, Jiandong, Qinghua Huang, Yining Xu, et al.. (2022). Typing characteristics of metabolism-related genes in osteoporosis. Frontiers in Pharmacology. 13. 999157–999157. 8 indexed citations
4.
Shen, Shuying, Yining Xu, Yao Teng, et al.. (2022). Positive Feedback Regulation of Circular RNA Hsa_circ_0000566 and HIF-1α promotes Osteosarcoma Progression and Glycolysis Metabolism. Aging and Disease. 14(2). 0–0. 9 indexed citations
5.
Xu, Yanyan, Tao Yao, Kangmao Huang, et al.. (2020). Circular RNA circTUBGCP3 Is Up-Regulated and Promotes Cell Proliferation, Migration and Survivability via Sponge mir-30b in Osteosarcoma. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Chen, Jian, Chen Wang, Kangmao Huang, Shuai Chen, & Yan Ma. (2020). Acacetin Suppresses IL‐1β‐Induced Expression of Matrix Metalloproteinases in Chondrocytes and Protects against Osteoarthritis in a Mouse Model by Inhibiting NF‐κB Signaling Pathways. BioMed Research International. 2020(1). 2328401–2328401. 7 indexed citations
7.
Shen, Shuying, Yizheng Wu, Junxin Chen, et al.. (2019). CircSERPINE2 protects against osteoarthritis by targeting miR-1271 and ETS-related gene. Annals of the Rheumatic Diseases. 78(6). 826–836. 225 indexed citations
8.
Mo, Jian, et al.. (2018). The Sensitivity of Orthopaedic Surgeons to the Secondary Prevention of Fragility Fractures. Journal of Bone and Joint Surgery. 100(24). e153–e153. 7 indexed citations
9.
Wang, Qiang, Jian Mo, Chenchen Zhao, et al.. (2018). Raddeanin A suppresses breast cancer-associated osteolysis through inhibiting osteoclasts and breast cancer cells. Cell Death and Disease. 9(3). 376–376. 32 indexed citations
10.
Tang, Pan, Jiaming Gu, Ziang Xie, et al.. (2018). Honokiol alleviates the degeneration of intervertebral disc via suppressing the activation of TXNIP-NLRP3 inflammasome signal pathway. Free Radical Biology and Medicine. 120. 368–379. 119 indexed citations
11.
Li, Yunxia, et al.. (2018). Pain Management by Nurses in Level 2 and Level 3 Hospitals in China. Pain Management Nursing. 20(3). 284–291. 7 indexed citations
12.
Huang, Kangmao, Yanyan Chen, Rui Zhang, et al.. (2018). Honokiol induces apoptosis and autophagy via the ROS/ERK1/2 signaling pathway in human osteosarcoma cells in vitro and in vivo. Cell Death and Disease. 9(2). 157–157. 203 indexed citations
13.
14.
Huang, Kangmao, et al.. (2017). The TAZ–miR-224–SMAD4 axis promotes tumorigenesis in osteosarcoma. Cell Death and Disease. 8(1). e2539–e2539. 31 indexed citations
15.
Shen, Shuying, Kangmao Huang, Yizheng Wu, et al.. (2017). Blocking autophagy enhances the apoptotic effect of 18β-glycyrrhetinic acid on human sarcoma cells via endoplasmic reticulum stress and JNK activation. Cell Death and Disease. 8(9). e3055–e3055. 27 indexed citations
16.
Ji, Weiping, Xianfeng Lin, Pan Tang, et al.. (2017). Application of postoperative autotransfusion in total joint arthroplasty reduces allogeneic blood requirements: a meta-analysis of randomized controlled trials. BMC Musculoskeletal Disorders. 18(1). 378–378. 2 indexed citations
17.
Shen, Shuying, Kangmao Huang, Yizheng Wu, et al.. (2017). A miR-135b-TAZ positive feedback loop promotes epithelial–mesenchymal transition (EMT) and tumorigenesis in osteosarcoma. Cancer Letters. 407. 32–44. 55 indexed citations
18.
Chen, Yanyan, et al.. (2017). FH535 Inhibits Proliferation and Motility of Colon Cancer Cells by Targeting Wnt/β-catenin Signaling Pathway. Journal of Cancer. 8(16). 3142–3153. 31 indexed citations
19.
Lin, Xianfeng, Chenchen Zhao, Yu Qian, et al.. (2016). The Peripheral Blood Mononuclear Cell Count Is Associated With Bone Health in Elderly Men. Medicine. 95(15). e3357–e3357. 6 indexed citations
20.
Chen, Shuai, Jin Gu, Kangmao Huang, et al.. (2015). Lycorine suppresses RANKL-induced osteoclastogenesis in vitro and prevents ovariectomy-induced osteoporosis and titanium particle-induced osteolysis in vivo. Scientific Reports. 5(1). 12853–12853. 48 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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