Muh-Shi Lin

1.4k total citations
56 papers, 1.1k citations indexed

About

Muh-Shi Lin is a scholar working on Neurology, Surgery and Molecular Biology. According to data from OpenAlex, Muh-Shi Lin has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 10 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Muh-Shi Lin's work include Neurosurgical Procedures and Complications (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Intracerebral and Subarachnoid Hemorrhage Research (8 papers). Muh-Shi Lin is often cited by papers focused on Neurosurgical Procedures and Complications (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Intracerebral and Subarachnoid Hemorrhage Research (8 papers). Muh-Shi Lin collaborates with scholars based in Taiwan, United States and China. Muh-Shi Lin's co-authors include Woon‐Man Kung, Wen‐Ta Chiu, Kuo-Sheng Hung, Yi‐Hsuan Lee, I‐Shiang Tzeng, Yu Sun, Shin-Han Tsai, Jia‐Wei Lin, Chai-Ching Lin and Yao‐Chin Wang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Spine.

In The Last Decade

Muh-Shi Lin

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muh-Shi Lin Taiwan 19 223 213 189 159 138 56 1.1k
Qingfang Sun China 24 273 1.2× 442 2.1× 147 0.8× 102 0.6× 94 0.7× 73 1.3k
Simone Sampaolo Italy 21 194 0.9× 416 2.0× 129 0.7× 159 1.0× 194 1.4× 75 1.2k
Rong Zhao China 20 122 0.5× 352 1.7× 146 0.8× 133 0.8× 155 1.1× 59 1.5k
Sait Polat Türkiye 17 90 0.4× 192 0.9× 177 0.9× 159 1.0× 144 1.0× 103 1.0k
Zunjing Liu China 16 163 0.7× 147 0.7× 58 0.3× 59 0.4× 150 1.1× 58 754
Xiangqi Tang China 23 327 1.5× 506 2.4× 61 0.3× 140 0.9× 134 1.0× 55 1.5k
Yanchao Liu China 16 166 0.7× 334 1.6× 89 0.5× 99 0.6× 170 1.2× 82 951
Jen‐Tsung Yang Taiwan 25 646 2.9× 368 1.7× 263 1.4× 194 1.2× 160 1.2× 104 1.8k
Li Pan China 19 279 1.3× 229 1.1× 129 0.7× 72 0.5× 84 0.6× 83 1.0k
Bora Gürer Türkiye 18 199 0.9× 142 0.7× 217 1.1× 82 0.5× 74 0.5× 81 801

Countries citing papers authored by Muh-Shi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Muh-Shi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muh-Shi Lin. 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 Muh-Shi Lin. The network helps show where Muh-Shi Lin may publish in the future.

Co-authorship network of co-authors of Muh-Shi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Muh-Shi Lin. A scholar is included among the top collaborators of Muh-Shi Lin 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 Muh-Shi Lin. Muh-Shi Lin 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.
Wen, Zhuzhi, et al.. (2025). Diffusion models with self-conditioning guidance for multivariate time series anomaly detection. Knowledge-Based Systems. 330. 114511–114511.
2.
Zhou, Shengmei, Muh-Shi Lin, Haoqiang He, et al.. (2025). Artificial Intelligence-Assisted Compressed Sensing Technique Accelerates Magnetic Resonance Imaging Simulation for Head and Neck Cancer Radiation Therapy. Advances in Radiation Oncology. 10(9). 101819–101819.
3.
4.
Lin, Muh-Shi, et al.. (2020). Relationship Between Exercise and Alzheimer’s Disease: A Narrative Literature Review. Frontiers in Neuroscience. 14. 131–131. 114 indexed citations
5.
Kuo, Chan‐Yen, Woon‐Man Kung, & Muh-Shi Lin. (2019). Neuronal CISD2 plays a minor anti-inflammatory role in LPS-stimulated neuron-like SH-SY5Y cells. Journal of the Neurological Sciences. 408. 116549–116549. 2 indexed citations
6.
Lin, Muh-Shi, et al.. (2017). Neuroprotection by freshwater clam extract against the neurotoxin MPTP in C57BL/6 mice. Neuroscience Letters. 642. 51–58. 4 indexed citations
7.
Lin, Muh-Shi & Chai-Ching Lin. (2016). New insight into curcumin-based therapy in spinal cord injuries: CISD2 regulation. Neural Regeneration Research. 11(2). 222–222. 8 indexed citations
8.
Lin, Muh-Shi, et al.. (2015). Simultaneous Cranioplasty and Subdural‐Peritoneal Shunting for Contralateral Symptomatic Subdural Hygroma following Decompressive Craniectomy. The Scientific World JOURNAL. 2015(1). 518494–518494. 3 indexed citations
9.
Lin, Muh-Shi, et al.. (2015). Quantitative assessment of brain shifting in the late phase postevacuation in unilateral and bilateral chronic subdural hematomas. International Journal of Neuroscience. 126(7). 1–6. 5 indexed citations
10.
Lin, Chai-Ching, et al.. (2014). Quantitative assessment of post-operative recurrence of chronic subdural haematoma using mean haematoma density. Brain Injury. 28(8). 1082–1086. 17 indexed citations
11.
Chen, Shuo-Tsung, et al.. (2014). DWT-Based Segmentation Method for Coronary Arteries. Journal of Medical Systems. 38(6). 55–55. 7 indexed citations
12.
Wu, Tsung‐Ju, et al.. (2013). Spinal Epidural Abscess in a Medical Center in Taiwan. Neurosurgery Quarterly. 23(2). 91–96.
13.
Lin, Muh-Shi, et al.. (2013). Seat Belt Syndrome With Cauda Equina Syndrome. Spine. 38(25). E1624–E1627. 2 indexed citations
14.
Lin, Muh-Shi, Kuo-Sheng Hung, Wen‐Ta Chiu, et al.. (2011). Curcumin enhances neuronal survival in N-methyl-d-aspartic acid toxicity by inducing RANTES expression in astrocytes via PI-3K and MAPK signaling pathways. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 35(4). 931–938. 38 indexed citations
15.
Kung, Woon‐Man, Kuo-Sheng Hung, Wen‐Ta Chiu, et al.. (2010). Quantitative assessment of impaired postevacuation brain re-expansion in bilateral chronic subdural haematoma: Possible mechanism of the higher recurrence rate. Injury. 43(5). 598–602. 41 indexed citations
16.
Lin, Muh-Shi, Yi‐Hsuan Lee, Wen‐Ta Chiu, & Kuo-Sheng Hung. (2009). Curcumin Provides Neuroprotection After Spinal Cord Injury. Journal of Surgical Research. 166(2). 280–289. 108 indexed citations
17.
Prins, Robert M., Chengyi J. Shu, Caius G. Radu, et al.. (2008). Anti-tumor activity and trafficking of self, tumor-specific T cells against tumors located in the brain. Cancer Immunology Immunotherapy. 57(9). 1279–1289. 46 indexed citations
18.
You, Peng, Kenneth Kwok, Pengfei Yang, et al.. (2005). Ascorbic acid inhibits ROS production, NF-?B activation and prevents ethanol-induced growth retardation and microencephaly. Neuropharmacology. 48(3). 426–434. 100 indexed citations
19.
TSENG, Y, et al.. (2002). Outcome of acid ingestion related aspiration pneumonia. European Journal of Cardio-Thoracic Surgery. 21(4). 638–643. 27 indexed citations
20.
Lin, Muh-Shi, et al.. (2001). Outcome of out-of-hospital cardiac arrest in southern taiwan - A multivariate analysis. Zhōnghuá mínguó xīnzàngxué huì zázhì. 17(1). 29–36. 2 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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