Yirui Sun

4.2k total citations · 2 hit papers
54 papers, 3.0k citations indexed

About

Yirui Sun is a scholar working on Neurology, Emergency Medicine and Molecular Biology. According to data from OpenAlex, Yirui Sun has authored 54 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 12 papers in Emergency Medicine and 11 papers in Molecular Biology. Recurrent topics in Yirui Sun's work include Traumatic Brain Injury and Neurovascular Disturbances (20 papers), Trauma and Emergency Care Studies (11 papers) and Neurosurgical Procedures and Complications (8 papers). Yirui Sun is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (20 papers), Trauma and Emergency Care Studies (11 papers) and Neurosurgical Procedures and Complications (8 papers). Yirui Sun collaborates with scholars based in China, United Kingdom and United States. Yirui Sun's co-authors include Steven M. Pollard, Austin Smith, Jin Hu, Luciano Conti, Ersong Wang, Wenwei Gao, Jiguang Guo, Wang Gan, Yinghui Chen and Jianwen Hu and has published in prestigious journals such as PLoS ONE, Development and Journal of Cell Science.

In The Last Decade

Yirui Sun

53 papers receiving 3.0k citations

Hit Papers

Proteomic Analysis of the Cerebrospinal Fluid of Park... 2005 2026 2012 2019 2013 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yirui Sun China 21 1.2k 980 746 606 243 54 3.0k
Adam M. H. Young United Kingdom 22 912 0.8× 800 0.8× 329 0.4× 355 0.6× 368 1.5× 62 3.4k
Marion S. Buckwalter United States 31 1.3k 1.1× 460 0.5× 743 1.0× 365 0.6× 559 2.3× 71 3.8k
Peter Siesjö Sweden 29 906 0.8× 639 0.7× 397 0.5× 144 0.2× 575 2.4× 87 3.0k
Neville W. Knuckey Australia 34 1.0k 0.9× 874 0.9× 517 0.7× 146 0.2× 272 1.1× 111 2.9k
Saud Sadiq United States 32 880 0.7× 971 1.0× 702 0.9× 446 0.7× 114 0.5× 85 2.8k
Michelle J. Porritt Australia 19 1.1k 0.9× 625 0.6× 1.0k 1.4× 482 0.8× 249 1.0× 27 3.2k
Sebastian Jander Germany 44 1.4k 1.2× 1.2k 1.2× 1.5k 2.0× 635 1.0× 811 3.3× 116 6.3k
Niklas Norgren Sweden 24 1.2k 1.0× 2.4k 2.4× 531 0.7× 218 0.4× 531 2.2× 26 4.6k
Clemens Sommer Germany 30 1.2k 1.0× 623 0.6× 638 0.9× 448 0.7× 774 3.2× 97 4.5k
Atsuo Yoshino Japan 26 1.0k 0.9× 1.5k 1.5× 298 0.4× 164 0.3× 1.0k 4.2× 147 3.1k

Countries citing papers authored by Yirui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yirui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yirui Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yirui Sun. A scholar is included among the top collaborators of Yirui Sun 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 Yirui Sun. Yirui Sun 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
2.
Huang, Hong, et al.. (2022). Prediction of in‐hospital hypokalemia using machine learning and first hospitalization day records in patients with traumatic brain injury. CNS Neuroscience & Therapeutics. 29(1). 181–191. 11 indexed citations
4.
Zhu, Fengping, Ying Tang, Sijie Cheng, et al.. (2020). Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER. CNS Neuroscience & Therapeutics. 27(1). 92–100. 17 indexed citations
5.
Zhao, Jian‐Lan, Gong� Chen, Xiaoming Che, et al.. (2020). Hypoxia-Induced Glioma-Derived Exosomal miRNA-199a-3p Promotes Ischemic Injury of Peritumoral Neurons by Inhibiting the mTOR Pathway. Oxidative Medicine and Cellular Longevity. 2020. 1–12. 8 indexed citations
6.
Yuan, Qiang, et al.. (2020). Baicalein Ameliorates Epilepsy Symptoms in a Pilocarpine-Induced Rat Model by Regulation of IGF1R. Neurochemical Research. 45(12). 3021–3033. 15 indexed citations
7.
Zhao, Jian‐Lan, Songtao Lai, Zhuoying Du, et al.. (2020). Circulating neutrophil-to-lymphocyte ratio at admission predicts the long-term outcome in acute traumatic cervical spinal cord injury patients. BMC Musculoskeletal Disorders. 21(1). 548–548. 27 indexed citations
8.
Gao, Jiming, et al.. (2019). Academic versus non-academic neurosurgeons in China: a national cross-sectional study on workload, burnout and engagement. BMJ Open. 9(10). e028309–e028309. 26 indexed citations
9.
Wu, Xuehai, Di Zang, Xing Wu, et al.. (2019). Diagnosis and Management for Secondary Low- or Negative-Pressure Hydrocephalus and a New Hydrocephalus Classification Based on Ventricular Pressure. World Neurosurgery. 124. e510–e516. 9 indexed citations
10.
Zhao, Jian‐Lan, Zhuoying Du, Yirui Sun, et al.. (2019). Intensive blood pressure control reduces the risk of progressive hemorrhage in patients with acute hypertensive intracerebral hemorrhage: A retrospective observational study. Clinical Neurology and Neurosurgery. 180. 1–6. 14 indexed citations
11.
Chen, Gong�, S. Sun, Zunguo Du, et al.. (2019). Intra-Extracranial Primary Clear Cell Sarcoma: The First Report and Review of the Literature. World Neurosurgery. 126. e1140–e1146. 1 indexed citations
12.
Wu, Xuehai, et al.. (2016). Analysis of epidemiological investigation on the brain injury of elderly inpatients and strategy of medical care to deal with from 2005 to 2015. Zhonghua jizhen yixue zazhi. 25(6). 779–783. 1 indexed citations
13.
Li, Zhiqi, Xing Wu, Jian Yu, et al.. (2016). Empirical Combination Antibiotic Therapy Improves the Outcome of Nosocomial Meningitis or Ventriculitis in Neuro-Critical Care Unit Patients. Surgical Infections. 17(4). 465–472. 22 indexed citations
14.
Yuan, Qiang, Xing Wu, Jian Yu, et al.. (2015). Effects and Clinical Characteristics of Intracranial Pressure Monitoring–Targeted Management for Subsets of Traumatic Brain Injury. Critical Care Medicine. 43(7). 1405–1414. 20 indexed citations
15.
Sun, Yirui, et al.. (2013). The impact of intracranial pressure monitoring on severe traumatic brain injury prognosis and disease afflictions. Zhonghua shenjing waike zazhi. 29(2). 120–124. 2 indexed citations
17.
Yuan, Qiang, Hua Liu, Xing Wu, et al.. (2012). Characteristics of acute treatment costs of traumatic brain injury in Eastern China—a multi-centre prospective observational study. Injury. 43(12). 2094–2099. 21 indexed citations
18.
Sun, Yirui, Jianqing Wang, Xing Wu, et al.. (2011). Validating the incidence of coagulopathy and disseminated intravascular coagulation in patients with traumatic brain injury – analysis of 242 cases. British Journal of Neurosurgery. 25(3). 363–368. 57 indexed citations
19.
Pathipati, Praneeti, Thorsten Gorba, Arjan Scheepens, et al.. (2011). Growth hormone and prolactin regulate human neural stem cell regenerative activity. Neuroscience. 190. 409–427. 73 indexed citations
20.
Sun, Yirui, Anna Falk, Hu Jin, et al.. (2009). CD133 (Prominin) Negative Human Neural Stem Cells Are Clonogenic and Tripotent. PLoS ONE. 4(5). e5498–e5498. 98 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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