Tingjun Dai

754 total citations
39 papers, 427 citations indexed

About

Tingjun Dai is a scholar working on Epidemiology, Molecular Biology and Neurology. According to data from OpenAlex, Tingjun Dai has authored 39 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 17 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Tingjun Dai's work include Inflammatory Myopathies and Dermatomyositis (21 papers), Muscle Physiology and Disorders (10 papers) and Eosinophilic Disorders and Syndromes (6 papers). Tingjun Dai is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (21 papers), Muscle Physiology and Disorders (10 papers) and Eosinophilic Disorders and Syndromes (6 papers). Tingjun Dai collaborates with scholars based in China, Canada and United States. Tingjun Dai's co-authors include Chuanzhu Yan, Ying Hou, Yuying Zhao, Pengfei Lin, Wei Li, Bing Wen, Kai Shao, Chi Zhang, Haihong Zheng and Junwei Wu and has published in prestigious journals such as Brain, Annals of Oncology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Tingjun Dai

31 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingjun Dai China 13 194 152 82 78 75 39 427
A.‐R. Moslemi Sweden 10 335 1.7× 152 1.0× 128 1.6× 76 1.0× 17 0.2× 15 446
Yalda Nilipour Iran 12 219 1.1× 51 0.3× 40 0.5× 73 0.9× 41 0.5× 61 426
Geetha Anand United Kingdom 13 303 1.6× 34 0.2× 77 0.9× 58 0.7× 98 1.3× 34 565
J.-F. Pellissier France 10 255 1.3× 80 0.5× 114 1.4× 129 1.7× 119 1.6× 25 484
Carlos Casasnovas Spain 14 270 1.4× 75 0.5× 27 0.3× 149 1.9× 179 2.4× 40 567
Almundher Al‐Maawali Oman 14 312 1.6× 39 0.3× 57 0.7× 62 0.8× 27 0.4× 55 605
Chuanqiang Pu China 12 177 0.9× 97 0.6× 13 0.2× 39 0.5× 84 1.1× 54 356
Takekazu Ohi Japan 12 187 1.0× 159 1.0× 12 0.1× 71 0.9× 96 1.3× 27 466
Pilar Magoulas United States 15 383 2.0× 60 0.4× 147 1.8× 14 0.2× 25 0.3× 24 727
Adam Mp 6 180 0.9× 23 0.2× 56 0.7× 37 0.5× 30 0.4× 286 388

Countries citing papers authored by Tingjun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Tingjun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingjun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Tingjun Dai. A scholar is included among the top collaborators of Tingjun Dai 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 Tingjun Dai. Tingjun Dai 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.
Zhang, Chen, Bing Zhao, Fengyi Zhang, et al.. (2025). Generation of an induced pluripotent stem cell (iPSC) line (INNDSUi0010-A) from a patient with Anti-MDA5 antibody-positive dermatomyositis. Stem Cell Research. 86. 103714–103714. 1 indexed citations
2.
Zhao, Dandan, et al.. (2025). Pbk positively regulates myoblast differentiation and muscle regeneration via enhancing AMPK/ULK1 mediated myogenic autophagy. Journal of Translational Medicine. 23(1). 1144–1144.
3.
Peng, Hong‐Juan, et al.. (2025). Inadequacies and inaccuracies in grading non proliferative diabetic retinopathy without fluorescein fundus angiography in Chinese patients. Photodiagnosis and Photodynamic Therapy. 56. 105278–105278.
4.
Fu, Lijun, Guoyong Zhang, Ying Hou, et al.. (2024). Clinico‐sero‐pathological profiles and risk prediction model of idiopathic inflammatory myopathy (IIM) patients with different perifascicular changes. CNS Neuroscience & Therapeutics. 30(8). e14882–e14882. 1 indexed citations
5.
Fu, Lijun, Lining Zhang, Kai Shao, et al.. (2024). Development of differential diagnostic models for distinguishing between limb-girdle muscular dystrophy and idiopathic inflammatory myopathy. Arthritis Research & Therapy. 26(1). 215–215.
6.
Zhou, Xiaoyu, Yingxin Wang, Wenzhu Liu, et al.. (2024). Skeletal muscle involvement in systemic amyloidosis is often overlooked. Neuropathology and Applied Neurobiology. 50(4). e12996–e12996. 2 indexed citations
7.
Zhen, Chao Jie, et al.. (2024). Myofascial edema of gastrocnemius: A prominent MRI characteristic in dermatomyositis patients with anti‐transcriptional intermediate factor 1‐γ antibody. CNS Neuroscience & Therapeutics. 30(2). e14647–e14647. 2 indexed citations
8.
Liu, Shuangwu, Qingguo Ren, Yujing Chen, et al.. (2023). Glymphatic dysfunction in patients with early-stage amyotrophic lateral sclerosis. Brain. 147(1). 100–108. 45 indexed citations
9.
Hou, Ying, Kai Shao, Tingjun Dai, et al.. (2021). Juvenile idiopathic inflammatory myopathies with anti‐3‐hydroxy‐3‐methylglutaryl‐coenzyme A reductase antibodies in a Chinese cohort. CNS Neuroscience & Therapeutics. 27(9). 1041–1047. 5 indexed citations
10.
Zhao, Bing, Wei Jiang, Tingjun Dai, et al.. (2021). Clinical, pathological, and molecular genetic analysis of 7 Chinese patients with hereditary myopathy with early respiratory failure. Neurological Sciences. 43(5). 3371–3380.
11.
Wang, Dongdong, Dandan Zhao, Yuan Li, et al.. (2021). TGM2 positively regulates myoblast differentiation via enhancing the mTOR signaling. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1869(3). 119173–119173. 4 indexed citations
12.
Hou, Ying, Kai Shao, Yaping Yan, et al.. (2021). Anti-HMGCR myopathy overlaps with dermatomyositis-like rash: a distinct subtype of idiopathic inflammatory myopathy. Journal of Neurology. 269(1). 280–293. 16 indexed citations
13.
14.
Dai, Tingjun, et al.. (2020). Precision diagnosis and therapy of a case of brain abscesses associated with asymptomatic pulmonary arteriovenous fistulas. BMC Infectious Diseases. 20(1). 370–370. 6 indexed citations
15.
Liu, Meirong, Ying Hou, Tingjun Dai, et al.. (2019). The clinical and histopathological features of idiopathic inflammatory myopathies with asymmetric muscle involvement. Journal of Clinical Neuroscience. 65. 46–53. 5 indexed citations
16.
Lv, Jingwei, Ling Li, Kunqian Ji, et al.. (2018). Role of the chemokine receptors CXCR3, CXCR4 and CCR7 in the intramuscular recruitment of plasmacytoid dendritic cells in dermatomyositis. Journal of Neuroimmunology. 319. 142–148. 13 indexed citations
17.
Yu, Xiaolin, Chuanzhu Yan, Kunqian Ji, et al.. (2018). Clinical, Neuroimaging, and Pathological Analyses of 13 Chinese Leigh Syndrome Patients with Mitochondrial DNA Mutations. Chinese Medical Journal. 131(22). 2705–2712. 13 indexed citations
18.
Wang, Qinzhou, Wěi Li, Dong Zhang, Yuying Zhao, & Tingjun Dai. (2017). Clinical and pathological study of Guillain-Barré syndrome with treatment-related fluctuations. Chin J Neurol. 50(4). 283–287. 1 indexed citations
19.
Lin, Pengfei, et al.. (2016). DNM2 mutations in Chinese Han patients with centronuclear myopathy. Neurological Sciences. 37(6). 995–998. 6 indexed citations
20.
Li, Ling, Tingjun Dai, Jingwei Lv, et al.. (2015). Role of Toll-like receptors and retinoic acid inducible gene I in endogenous production of type I interferon in dermatomyositis. Journal of Neuroimmunology. 285. 161–168. 15 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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