Kai Su

3.1k total citations
71 papers, 1.9k citations indexed

About

Kai Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kai Su has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in Kai Su's work include Spinal Fractures and Fixation Techniques (5 papers), RNA modifications and cancer (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Kai Su is often cited by papers focused on Spinal Fractures and Fixation Techniques (5 papers), RNA modifications and cancer (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Kai Su collaborates with scholars based in China, United States and Iraq. Kai Su's co-authors include Leslie Pick, Thomas Scherer, Christoph Buettner, Wei Han, Hao Liu, Yaojie Tu, Norbert Perrimon, Yan Yu, Willis X. Li and Chuguang Zheng and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Kai Su

67 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Su China 23 678 367 281 254 201 71 1.9k
Yujiro Hayashi Japan 29 903 1.3× 360 1.0× 260 0.9× 451 1.8× 154 0.8× 102 2.6k
Yasushi Noguchi Japan 23 702 1.0× 439 1.2× 83 0.3× 138 0.5× 293 1.5× 66 1.7k
Fanghong Li China 23 430 0.6× 248 0.7× 193 0.7× 115 0.5× 408 2.0× 90 1.8k
Torsten Richter Germany 18 840 1.2× 1.1k 2.9× 119 0.4× 201 0.8× 240 1.2× 42 2.4k
H. Miki Japan 18 449 0.7× 313 0.9× 133 0.5× 373 1.5× 94 0.5× 54 1.5k
Sivapriya Ramamoorthy United States 20 797 1.2× 255 0.7× 41 0.1× 129 0.5× 108 0.5× 35 1.9k
Seiki Ito Japan 27 471 0.7× 315 0.9× 97 0.3× 353 1.4× 532 2.6× 123 2.1k
Michelle V. Fanucchi United States 28 351 0.5× 515 1.4× 66 0.2× 190 0.7× 96 0.5× 57 2.1k
Federico Bianco Italy 22 192 0.3× 70 0.2× 192 0.7× 165 0.6× 119 0.6× 88 1.5k

Countries citing papers authored by Kai Su

Since Specialization
Citations

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

Fields of papers citing papers by Kai Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Su. A scholar is included among the top collaborators of Kai Su 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 Su. Kai Su 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.
Li, Xin‐Tao, Xinyue Li, Tian Tian, et al.. (2025). The UCP2/PINK1/LC3b-mediated mitophagy is involved in the protection of NRG1 against myocardial ischemia/reperfusion injury. Redox Biology. 80. 103511–103511. 6 indexed citations
2.
Liu, Yuanjie, Yunpeng Fan, Xiaoqiang Li, et al.. (2025). Simple and Rapid Tumor EV Enrichment Enabled by Long DNA Probe‐Guided Entanglement. Angewandte Chemie International Edition. 64(31). e202501804–e202501804.
3.
Zhang, Zhihao, et al.. (2024). NTSR1 promotes epithelial-mesenchymal transition and metastasis in lung adenocarcinoma through the Wnt/β-catenin pathway. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 829. 111877–111877.
4.
Guo, Jiaxin, Kai Su, Liying Wang, et al.. (2024). Poly(p-coumaric acid) nanoparticles alleviate temporomandibular joint osteoarthritis by inhibiting chondrocyte ferroptosis. Bioactive Materials. 40. 212–226. 21 indexed citations
5.
Su, Kai, Robert L. Geneve, Mark Crocker, et al.. (2023). Development of a rapid and simple protocol for oil quantification of small (mg) mass oil seed samples. Biocatalysis and Agricultural Biotechnology. 50. 102715–102715. 1 indexed citations
6.
Alex, Linda, Izabela Tuleta, Silvia C. Hernández, et al.. (2023). Cardiac Pericytes Acquire a Fibrogenic Phenotype and Contribute to Vascular Maturation After Myocardial Infarction. Circulation. 148(11). 882–898. 37 indexed citations
7.
Li, Ruoshui, Bijun Chen, Anis Hanna, et al.. (2023). Protective effects of macrophage-specific integrin α5 in myocardial infarction are associated with accentuated angiogenesis. Nature Communications. 14(1). 7555–7555. 19 indexed citations
8.
Li, Chunxiang, Yalong Wang, Kai Su, et al.. (2021). Presentation of EGFR mutations in 162 family probands with multiple primary lung cancer. Translational Lung Cancer Research. 10(4). 1734–1746. 11 indexed citations
9.
Su, Kai, Shugeng Gao, Jianming Ying, Shuangmei Zou, & Jie He. (2018). Sequencing a super multiple synchronous lung cancer reveals a novel variant in driver gene ARID1B. Journal of Thoracic and Cardiovascular Surgery. 155(6). e185–e191. 7 indexed citations
10.
Guo, Lanwei, Huiyao Huang, Le Wang, et al.. (2017). [Economic burden of esophageal cancer in China from 1996 to 2015: a systematic review].. PubMed. 38(1). 102–109. 8 indexed citations
11.
Tang, Yong, et al.. (2016). The technique of subcostal thoracoscopic extended thymectomy (STET). ASVIDE. 3(1). 1 indexed citations
12.
Xu, Enwu, Ming Liao, Yong Tang, et al.. (2015). Uniportal VATS right upper lobectomy. ASVIDE. 2(1). 1 indexed citations
13.
Mu, Juwei, Shugeng Gao, Qi Xue, et al.. (2015). A Matched Comparison Study of Uniportal Versus Triportal Thoracoscopic Lobectomy and Sublobectomy for Early-stage Nonsmall Cell Lung Cancer. Chinese Medical Journal. 128(20). 2731–2735. 41 indexed citations
14.
Lei, Jie, Wenhai Li, Ye Yang, et al.. (2014). TC-1 Overexpression Promotes Cell Proliferation in Human Non-Small Cell Lung Cancer that Can Be Inhibited by PD173074. PLoS ONE. 9(6). e100075–e100075. 11 indexed citations
15.
Yi, Hong, Shan Yin, Jian Guan, et al.. (2013). Associated predictors of therapeutic response to uvulopharyngopalatoplasty for severe obstructive sleep apnea hypopnea syndrome. European Archives of Oto-Rhino-Laryngology. 270(4). 1411–1417. 8 indexed citations
16.
Zhang, Ping, Xiangmin Li, Jie Lei, et al.. (2010). Expression and it’s Relationship of PRL-3 and RhoC in Non-small Cell Lung Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Su, Kai, Fang Chen, Weiming Yan, et al.. (2008). Fibrinogen-like protein 2/fibroleukin prothrombinase contributes to tumor hypercoagulability via IL-2 and IFN-γ. World Journal of Gastroenterology. 14(39). 5980–5980. 46 indexed citations
18.
Lin, Dong, et al.. (2006). [TPX2 expression and its significance in squamous cell carcinoma of lung].. PubMed. 35(9). 540–4. 6 indexed citations
19.
Ma, Jun, Mengge Gao, Yong‐Jie Lu, et al.. (2006). Gain of 1q25–32, 12q23–24.3, and 17q12–22 facilitates tumorigenesis and progression of human squamous cell lung cancer. The Journal of Pathology. 210(2). 205–213. 25 indexed citations
20.
Löhr, Ulrike, et al.. (2001). The nuclear receptor Ftz-F1 and homeodomain protein Ftz interact through evolutionarily conserved protein domains. Mechanisms of Development. 107(1-2). 39–53. 46 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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