Jin Hu

2.4k total citations
53 papers, 1.4k citations indexed

About

Jin Hu is a scholar working on Neurology, Epidemiology and Cognitive Neuroscience. According to data from OpenAlex, Jin Hu has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Neurology, 19 papers in Epidemiology and 7 papers in Cognitive Neuroscience. Recurrent topics in Jin Hu's work include Traumatic Brain Injury and Neurovascular Disturbances (15 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers) and Neurosurgical Procedures and Complications (10 papers). Jin Hu is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (15 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers) and Neurosurgical Procedures and Complications (10 papers). Jin Hu collaborates with scholars based in China, Canada and United States. Jin Hu's co-authors include Ying Mao, Weijun Tang, Xing Wu, Xuehai Wu, Liangfu Zhou, Guhong Du, Xunning Hong, Jinsong Wu, Yanyan Song and Liang Gao and has published in prestigious journals such as Journal of Neuroscience, Annals of Neurology and Scientific Reports.

In The Last Decade

Jin Hu

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Hu China 20 456 455 284 267 215 53 1.4k
Robert Shih United States 19 261 0.6× 459 1.0× 218 0.8× 171 0.6× 65 0.3× 49 1.6k
Mony Benifla Israel 19 229 0.5× 587 1.3× 192 0.7× 94 0.4× 94 0.4× 45 1.7k
Justin M. Dean New Zealand 33 378 0.8× 212 0.5× 78 0.3× 167 0.6× 329 1.5× 89 3.0k
Roger E. Kelley United States 25 532 1.2× 664 1.5× 153 0.5× 184 0.7× 59 0.3× 69 2.2k
Thomas Els Germany 17 346 0.8× 339 0.7× 88 0.3× 339 1.3× 115 0.5× 27 1.2k
Taner Tanrıverdi Türkiye 26 279 0.6× 610 1.3× 172 0.6× 118 0.4× 91 0.4× 131 2.0k
Anne E. Manktelow United Kingdom 22 539 1.2× 731 1.6× 563 2.0× 380 1.4× 239 1.1× 32 1.6k
Mona A. Mohamed United States 15 175 0.4× 292 0.6× 163 0.6× 184 0.7× 66 0.3× 38 816
Ursula Felderhoff‐Müser Germany 27 334 0.7× 255 0.6× 81 0.3× 122 0.5× 55 0.3× 143 2.2k
Richa Trivedi India 23 343 0.8× 262 0.6× 245 0.9× 739 2.8× 40 0.2× 57 1.5k

Countries citing papers authored by Jin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Hu. A scholar is included among the top collaborators of Jin Hu 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 Jin Hu. Jin Hu 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.
Liu, Chunyan, Shihong Li, Yao Deng, et al.. (2025). Prevalence of idiopathic normal pressure hydrocephalus in older adult population in Shanghai, China: A population‐based observational study. Alzheimer s & Dementia. 21(2). e14525–e14525. 1 indexed citations
2.
3.
Yang, Tianyi, Peng Zhang, Jin Hu, et al.. (2024). Exploring the neural correlates of fat taste perception and discrimination: Insights from electroencephalogram analysis. Food Chemistry. 450. 139353–139353. 8 indexed citations
4.
Yuan, Qiang, et al.. (2024). Intracranial Pressure Monitoring in Patients with Spontaneous Intracerebral Hemorrhage: A Systematic Review with Meta-Analysis. World Neurosurgery. 189. 447–455.e4. 4 indexed citations
5.
Yang, Tianyi, Peng Zhang, Jin Hu, et al.. (2023). Insights into brain perceptions of the different taste qualities and hedonic valence of food via scalp electroencephalogram. Food Research International. 173(Pt 1). 113311–113311. 24 indexed citations
6.
Song, Zhengyu, et al.. (2023). [Acacetin protects rats from cerebral ischemia-reperfusion injury by regulating TLR4/NLRP3 signaling pathway].. PubMed. 48(22). 6107–6114. 1 indexed citations
7.
Zheng, Ruizhe, Zhe Wang, Zengxin Qi, et al.. (2023). Clinical Characteristics of and Treatment Strategy for Hydrocephalus in Patients With Severe Disorders of Consciousness. Journal of Neurotrauma. 40(13-14). 1402–1414. 2 indexed citations
8.
9.
Chen, Peng, et al.. (2022). Management of Primary Brainstem Hemorrhage: A Review of Outcome Prediction, Surgical Treatment, and Animal Model. Disease Markers. 2022. 1–8. 10 indexed citations
10.
Song, Jie, Yu Lei, Chao Gao, et al.. (2021). The First 24 h Hemodynamic Management in NICU after Revascularization Surgery in Moyamoya Disease. Behavioural Neurology. 2021. 1–7. 3 indexed citations
11.
Jiang, Yaqin, Yanyan Liu, Chaochao Wang, et al.. (2020). Near-infrared light-triggered NO release for spinal cord injury repair. Science Advances. 6(39). 100 indexed citations
12.
Wu, Xing, Zhiqi Li, Qiang Yuan, et al.. (2020). Trends of Intra-Cranial Bacterial Infection in Patients Requiring Emergency Neurosurgery. Surgical Infections. 21(8). 677–683. 7 indexed citations
13.
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
14.
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
15.
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
16.
Wu, Xuehai, Qihong Zou, Jin Hu, et al.. (2015). Intrinsic Functional Connectivity Patterns Predict Consciousness Level and Recovery Outcome in Acquired Brain Injury. Journal of Neuroscience. 35(37). 12932–12946. 124 indexed citations
17.
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
18.
Hu, Jin. (2011). Hospitalization costs of patients with traumatic brain injury in East China. 1 indexed citations
19.
Zhao, Yao, Peiliang Li, Weiwei Fan, et al.. (2010). The rs522616 polymorphism in the matrix metalloproteinase-3 (MMP-3) gene is associated with sporadic brain arteriovenous malformation in a Chinese population. Journal of Clinical Neuroscience. 17(12). 1568–1572. 25 indexed citations
20.
Wu, Xing, Jin Hu, Chaowei Fu, et al.. (2008). Epidemiology of Traumatic Brain Injury in Eastern China, 2004: A Prospective Large Case Study. The Journal of Trauma: Injury, Infection, and Critical Care. 64(5). 1313–1319. 134 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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