Kai Shu

1.7k total citations
100 papers, 1.0k citations indexed

About

Kai Shu is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Kai Shu has authored 100 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 24 papers in Endocrinology, Diabetes and Metabolism and 22 papers in Molecular Biology. Recurrent topics in Kai Shu's work include Pituitary Gland Disorders and Treatments (23 papers), Glioma Diagnosis and Treatment (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Kai Shu is often cited by papers focused on Pituitary Gland Disorders and Treatments (23 papers), Glioma Diagnosis and Treatment (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Kai Shu collaborates with scholars based in China, Germany and United States. Kai Shu's co-authors include Ting Lei, Junwen Wang, Huaqiu Zhang, Xueyan Wan, Kai Zhao, Juan Chen, Suojun Zhang, Chao Gan, Qungen Xiao and Lin Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Brain Research.

In The Last Decade

Kai Shu

92 papers receiving 997 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 Shu China 18 265 259 190 185 154 100 1.0k
Manas Panigrahi India 17 170 0.6× 212 0.8× 125 0.7× 75 0.4× 208 1.4× 92 957
Desmond Brown United States 18 191 0.7× 321 1.2× 320 1.7× 35 0.2× 164 1.1× 67 1.1k
Yongfeng Fan United States 18 247 0.9× 583 2.3× 137 0.7× 49 0.3× 84 0.5× 28 1.3k
Edyta Paczkowska Poland 17 88 0.3× 569 2.2× 342 1.8× 102 0.6× 73 0.5× 82 1.2k
Ronald J. Benveniste United States 19 248 0.9× 138 0.5× 273 1.4× 366 2.0× 251 1.6× 49 1.1k
Arthur J. DiPatri United States 16 273 1.0× 246 0.9× 192 1.0× 37 0.2× 133 0.9× 42 986
Jeong-Hyun Hwang South Korea 17 308 1.2× 229 0.9× 118 0.6× 69 0.4× 190 1.2× 79 1.0k
Marcus Ware United States 14 270 1.0× 221 0.9× 137 0.7× 38 0.2× 220 1.4× 32 888
Guive Sharifi Iran 15 111 0.4× 168 0.6× 118 0.6× 133 0.7× 108 0.7× 122 747
Yong Gu Chung South Korea 14 94 0.4× 147 0.6× 177 0.9× 42 0.2× 87 0.6× 33 582

Countries citing papers authored by Kai Shu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shu. A scholar is included among the top collaborators of Kai Shu 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 Shu. Kai Shu 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.
Shu, Kai, et al.. (2025). Prediction of natural runoff in China based on multi-scenario climate models with self-attention neural networks. Water Research. 282. 123768–123768. 1 indexed citations
2.
Liu, Dan, et al.. (2024). Microenvironmental regulation of tumor-associated neutrophils in malignant glioma: from mechanism to therapy. Journal of Neuroinflammation. 21(1). 226–226. 14 indexed citations
3.
Liu, Zhiqiang, Ziyuan Guo, Heng‐Ye Man, et al.. (2024). Postsynaptic lncRNA Sera/Pkm2 pathway orchestrates the transition from social competition to rank by remodeling the neural ensemble in mPFC. Cell Discovery. 10(1). 87–87. 1 indexed citations
4.
Zhu, Hongtao, et al.. (2023). Risk Factor and Replacement Therapy Analysis of Pre- and Postoperative Endocrine Deficiencies for Craniopharyngioma. Cancers. 15(2). 340–340. 2 indexed citations
5.
6.
Tang, Ruhang, Zhibo Xie, Xiangyan Ruan, et al.. (2023). Changes in menopausal symptoms comparing oral estradiol versus transdermal estradiol. Climacteric. 27(2). 171–177. 3 indexed citations
7.
Zeng, Ying, Huaqiu Zhang, Kai Shu, et al.. (2023). Virtual simulation with AneuShape™ software for microcatheter shaping in intracranial aneurysm coiling: a validation study. Frontiers in Neurology. 14. 1095266–1095266. 1 indexed citations
8.
Zhang, Xincheng, Yimin Huang, Yuan Liu, et al.. (2023). Local transplantation of mesenchymal stem cells improves encephalo-myo-synangiosis-mediated collateral neovascularization in chronic brain ischemia. Stem Cell Research & Therapy. 14(1). 233–233. 10 indexed citations
9.
Ma, Xiaoyu, Hongtao Zhu, Xin Chen, et al.. (2023). Dendritic cell vaccine of gliomas: challenges from bench to bed. Frontiers in Immunology. 14. 6 indexed citations
10.
Liang, Lü, Yimin Huang, Yu Li, et al.. (2023). Clinical effect of a modified superficial temporal artery-middle cerebral artery bypass surgery in Moyamoya disease treatment. Frontiers in Neurology. 14. 1273822–1273822. 4 indexed citations
11.
Liu, Weihua, et al.. (2022). Risk factors for postresection shunting in children with suprasellar tumor: a retrospective analysis of 124 patients. Child s Nervous System. 38(5). 939–945. 1 indexed citations
12.
Wan, Xueyan, et al.. (2022). Development and Validation of a Prognostic Model for Post-Operative Recurrence of Pituitary Adenomas. Frontiers in Oncology. 12. 882049–882049. 4 indexed citations
13.
Liu, Xiaojin, Yiwei Qi, Feng Hu, Kai Shu, & Ting Lei. (2022). Differential centrifugation enhances the anti-tumor immune effect of tumor lysate-pulsed dendritic cell vaccine against glioblastoma*. Oncology and Translational Medicine. 8(5). 209–216.
14.
Wan, Xueyan, Kai Zhao, Yonghua Huang, et al.. (2022). Safety and efficacy of extra-ventricular drainage combined with urokinase administration in the management of intraventricular hemorrhage. Neurochirurgie. 68(6). e53–e59. 4 indexed citations
15.
Yao, Xiaolong, Shengwen Liu, Junwen Wang, et al.. (2020). The clinical characteristics and prognosis of COVID‐19 patients with cerebral stroke: A retrospective study of 113 cases from one single‐centre. European Journal of Neuroscience. 53(4). 1350–1361. 9 indexed citations
16.
Wan, Xueyan, Kai Zhao, Sheng Wang, et al.. (2017). Is It Reliable to Predict the Outcome of Elderly Patients with Severe Traumatic Brain Injury Using the IMPACT Prognostic Calculator?. World Neurosurgery. 103. 584–590. 16 indexed citations
17.
Lei, Ting, Baofeng Wang, Juan Chen, et al.. (2016). Transsphenoidal microsurgical treatment of infradiaphragmatic craniopharyngioma ⁎. Oncology and Translational Medicine. 2(5). 197–202.
18.
Chen, Xu, Jun Wu, Kai Shu, et al.. (2010). The c-Jun N-terminal kinase inhibitor SP600125 is neuroprotective in amygdala kindled rats. Brain Research. 1357. 104–114. 13 indexed citations
19.
He, Yue, Huaqiu Zhang, Yong Li, et al.. (2006). The observation of pituitary function in patients with acute pituitary apoplexy before and after transsphenoidal surgery. The Chinese-German Journal of Clinical Oncology. 5(3). 194–196. 1 indexed citations
20.
Li, Yong, et al.. (2005). Relationship Between Histopathology and Clinical Prognosis of Invasive Pituitary Adenoma. The Chinese-German Journal of Clinical Oncology. 4(3). 179–182. 4 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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