Yamei Tang

6.0k total citations · 1 hit paper
138 papers, 4.0k citations indexed

About

Yamei Tang is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Yamei Tang has authored 138 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 29 papers in Neurology and 27 papers in Molecular Biology. Recurrent topics in Yamei Tang's work include Brain Metastases and Treatment (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers) and Head and Neck Cancer Studies (19 papers). Yamei Tang is often cited by papers focused on Brain Metastases and Treatment (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers) and Head and Neck Cancer Studies (19 papers). Yamei Tang collaborates with scholars based in China, United States and Hong Kong. Yamei Tang's co-authors include Qingyu Shen, Pengfei Xu, Jin Jun Luo, Ruying Fu, Xiaoming Rong, Jinping Cheng, Jun Feng, Ying Peng, Hong Yin and Chris W. Cody and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Yamei Tang

130 papers receiving 3.9k citations

Hit Papers

Phagocytosis of Microglia... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yamei Tang China 32 1.1k 916 702 520 443 138 4.0k
Edwige Petit France 32 729 0.7× 1.3k 1.5× 262 0.4× 352 0.7× 441 1.0× 67 4.0k
Luigi Sironi Italy 39 952 0.9× 1.4k 1.6× 360 0.5× 291 0.6× 598 1.3× 100 4.4k
Weilin Xu China 33 530 0.5× 930 1.0× 264 0.4× 776 1.5× 260 0.6× 109 3.0k
Hiroyuki Kinouchi Japan 37 845 0.8× 1.5k 1.7× 446 0.6× 1.8k 3.4× 592 1.3× 195 4.8k
Akihiko Taguchi Japan 40 1.6k 1.4× 2.3k 2.6× 590 0.8× 474 0.9× 778 1.8× 115 6.8k
Feng Gao China 32 607 0.5× 1.1k 1.2× 497 0.7× 351 0.7× 668 1.5× 138 3.7k
Kürşad Genç Türkiye 32 486 0.4× 1.2k 1.4× 225 0.3× 401 0.8× 379 0.9× 55 4.0k
Ping Wei China 35 718 0.6× 1.7k 1.8× 340 0.5× 271 0.5× 580 1.3× 123 6.0k
Julie E. Simpson United Kingdom 34 1.7k 1.5× 1.1k 1.2× 261 0.4× 687 1.3× 1.3k 2.9× 78 4.2k

Countries citing papers authored by Yamei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yamei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yamei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yamei Tang. A scholar is included among the top collaborators of Yamei Tang 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 Yamei Tang. Yamei Tang 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.
Wang, Jin‐Yuan, Jingru Jiang, Jie Jiang, et al.. (2025). Patient-reported outcomes of rimegepant for acute and preventive treatment of migraine in China: a prospective, multicenter, real-world study. The Journal of Headache and Pain. 26(1). 242–242.
2.
Jiang, Yukun, Yamei Tang, Yuxuan Li, et al.. (2024). Psammaplin A analogues with modified disulfide bond targeting histone deacetylases: Synthesis and biological evaluation. European Journal of Medicinal Chemistry. 275. 116541–116541. 1 indexed citations
4.
Rong, Xiaoming, et al.. (2023). Association between Apolipoprotein E genotype and functional outcome in acute ischemic stroke. Aging. 15(1). 108–118. 5 indexed citations
5.
Tan, Hong Qi, et al.. (2023). Cluster-based radiomics reveal spatial heterogeneity of bevacizumab response for treatment of radiotherapy-induced cerebral necrosis. Computational and Structural Biotechnology Journal. 23. 43–51. 5 indexed citations
7.
Zhao, Huiying, Meiwei Chen, Yi Li, et al.. (2023). A radiomics model for predicting the response to methylprednisolone in brain necrosis after radiotherapy for nasopharyngeal carcinoma. Radiation Oncology. 18(1). 43–43. 1 indexed citations
8.
Li, Shaojian, Zhongshan Shi, Wei‐Jye Lin, et al.. (2022). Partial Ablation of Astrocytes Exacerbates Cerebral Infiltration of Monocytes and Neuronal Loss After Brain Stab Injury in Mice. Cellular and Molecular Neurobiology. 43(2). 893–905. 4 indexed citations
9.
Yang, Yuhua, Honghong Li, Yongteng Xu, et al.. (2022). Notch Signaling Mediates Radiation-Induced Smooth Muscle Cell Hypermuscularization and Cerebral Vasculopathy. Stroke. 53(12). 3751–3762. 8 indexed citations
10.
Han, Xiaoyan, Jinhua Cai, Xiaoming Rong, et al.. (2022). Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke. Nutrients. 14(7). 1337–1337. 33 indexed citations
11.
Zhang, Mingming, Yamei Tang, Liyun Liu, & Dequn Zhou. (2021). Optimal investment portfolio strategies for power enterprises under multi-policy scenarios of renewable energy. Renewable and Sustainable Energy Reviews. 154. 111879–111879. 58 indexed citations
12.
He, Baixuan, Xia Wang, Xia Wang, et al.. (2020). Gamma ray‐induced glial activation and neuronal loss occur before the delayed onset of brain necrosis. The FASEB Journal. 34(10). 13361–13375. 15 indexed citations
13.
Cai, Jinhua, Junjiong Zheng, Jun Shen, et al.. (2020). A Radiomics Model for Predicting the Response to Bevacizumab in Brain Necrosis after Radiotherapy. Clinical Cancer Research. 26(20). 5438–5447. 38 indexed citations
14.
Zhao, Yue, Zhendong Gao, Difan Zheng, et al.. (2019). A prognostic score system with lymph node ratio in stage IIIA-N2 NSCLC patients after surgery and adjuvant chemotherapy. Journal of Cancer Research and Clinical Oncology. 145(8). 2115–2122. 9 indexed citations
15.
Xu, Yongteng, Xiaoming Rong, Wei‐Han Hu, et al.. (2018). Bevacizumab Monotherapy Reduces Radiation-induced Brain Necrosis in Nasopharyngeal Carcinoma Patients: A Randomized Controlled Trial. International Journal of Radiation Oncology*Biology*Physics. 101(5). 1087–1095. 70 indexed citations
16.
Cai, Jinhua, Jinping Cheng, Honghong Li, et al.. (2018). A nomogram for the prediction of cerebrovascular disease among patients with brain necrosis after radiotherapy for nasopharyngeal carcinoma. Radiotherapy and Oncology. 132. 34–41. 9 indexed citations
17.
Shi, Xiaolei, Xiaoming Rong, Zichen Li, et al.. (2012). Radiation-induced cranial neuropathy in patients with nasopharyngeal carcinoma. Chinese Journal of Neuromedicine. 12(1). 72–75. 1 indexed citations
18.
Guo, Jianjun, et al.. (2011). Serum uric acid is a risk factor for large-artery atherosclerosis cerebral infarction. Neural Regeneration Research. 6(36). 2856. 1 indexed citations
19.
Tang, Yamei, Li, Yi ̆, et al.. (2011). Renovascular hypertension causes cerebral vascular remodeling. 中国神经再生研究:英文版. 6(25). 1977–1981. 2 indexed citations
20.
Tang, Yamei, et al.. (2005). Characteristics of neuropsychiatric impairment symptoms in patients with severe acute respiratory syndrome. 9(24). 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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