Jiaqi Dai

620 total citations
29 papers, 427 citations indexed

About

Jiaqi Dai is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Jiaqi Dai has authored 29 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Surgery and 8 papers in Oncology. Recurrent topics in Jiaqi Dai's work include Cardiomyopathy and Myosin Studies (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Jiaqi Dai is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Jiaqi Dai collaborates with scholars based in China, United States and Switzerland. Jiaqi Dai's co-authors include Zhiqiang Yin, Hongxia Wang, Ying Dong, Yinxin Zhang, Jian Wang, Yun Zhang, Tingting Wu, Nailin Yang, Yihui Shi and Yun Zhang and has published in prestigious journals such as Nature Communications, Clinical Cancer Research and Journal of Hematology & Oncology.

In The Last Decade

Jiaqi Dai

25 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiaqi Dai China	13	144	111	100	86	53	29	427
Charlotte Lee United States	9	261 1.8×	97 0.9×	63 0.6×	50 0.6×	43 0.8×	13	914
Nuria Palacios Spain	11	118 0.8×	35 0.3×	53 0.5×	145 1.7×	28 0.5×	17	338
Tsung-Ming Chen Taiwan	14	237 1.6×	65 0.6×	49 0.5×	13 0.2×	97 1.8×	19	510
Jutta Gloddek Germany	10	139 1.0×	52 0.5×	29 0.3×	175 2.0×	57 1.1×	10	419
Dabing Li China	13	248 1.7×	89 0.8×	57 0.6×	17 0.2×	54 1.0×	30	499
Devi Prasadh Ramakrishnan United States	6	225 1.6×	34 0.3×	43 0.4×	18 0.2×	99 1.9×	10	457
Yumiko Nitta Japan	9	197 1.4×	57 0.5×	27 0.3×	23 0.3×	20 0.4×	34	419
Patricia O. Cover United Kingdom	15	192 1.3×	32 0.3×	32 0.3×	70 0.8×	35 0.7×	18	458
Joseph Vallone United States	9	204 1.4×	43 0.4×	40 0.4×	21 0.2×	31 0.6×	9	541
S. J. Pandol United States	6	179 1.2×	132 1.2×	175 1.8×	45 0.5×	31 0.6×	11	442

Countries citing papers authored by Jiaqi Dai

Since Specialization

Citations

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

Fields of papers citing papers by Jiaqi Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqi Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaqi Dai. A scholar is included among the top collaborators of Jiaqi 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 Jiaqi Dai. Jiaqi Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ding, Min, Gaosong Wu, Jiaqi Dai, et al.. (2025). Clinical Implications and Application of Molecular Testing in the Diagnosis and Management of Thyroid Nodules in the Chinese Population. Clinical Cancer Research. 31(23). 4996–5005.

Dai, Jiaqi, et al.. (2025). Hypertrophic cardiomyopathy: current understanding and emerging therapeutics. 2(1). 100073–100073. 1 indexed citations

Dai, Jiaqi, Hongyou Zhao, Jie Gong, et al.. (2025). Design of the “EAST” strategy in patients with symptomatic intracranial atherosclerotic stenosis. Frontiers in Neurology. 16. 1520356–1520356. 1 indexed citations

Dai, Jiaqi, et al.. (2024). Design of the “EAST” strategy in patients with asymptomatic intracranial atherosclerotic stenosis. Clinical Neurology and Neurosurgery. 245. 108507–108507. 1 indexed citations

Zhou, Bing, et al.. (2024). A feasibility study of using virtual noncontrast images synthesized from dual-energy computed tomography for radiotherapy treatment planning. Quantitative Imaging in Medicine and Surgery. 14(12). 8443–8455.

Dai, Jiaqi, et al.. (2024). Transcatheter Mitral Valve Repair Using a Novel Device for a High-Surgical-Risk Patient With DMR. JACC Case Reports. 29(10). 102334–102334. 1 indexed citations

Li, Chenze, Lei Xiao, Jiaqi Dai, et al.. (2023). Rare variants in the FBN1 gene are associated with sporadic dilated cardiomyopathy in a Chinese Han population. 3(3). 1 indexed citations

Sun, Yang, Hong Wang, Ke Li, et al.. (2023). Reassessment of genes associated with dilated and hypertrophic cardiomyopathy in a Chinese Han population. 3(1).

Chen, Yanghui, Xin Xu, Linlin Wang, et al.. (2022). Genetic insights into therapeutic targets for aortic aneurysms: A Mendelian randomization study. EBioMedicine. 83. 104199–104199. 43 indexed citations

10.

Dai, Jiaqi, Yun Zhang, Zhiqiang Yin, & Zhongwei Lv. (2022). A combined nano-carbon tracer and nano-fluorescence assay for parathyroid misresection reduction in thyroid surgery. Arabian Journal of Chemistry. 15(4). 103709–103709.

11.

Dai, Jiaqi, Ke Li, Yang Sun, et al.. (2022). The Involvement of ALPK3 in Hypertrophic Cardiomyopathy in East Asia. Frontiers in Medicine. 9. 915649–915649. 5 indexed citations

12.

Dai, Jiaqi, Zongzhe Li, Wei Huang, et al.. (2021). RBM20 Is a Candidate Gene for Hypertrophic Cardiomyopathy. Canadian Journal of Cardiology. 37(11). 1751–1759. 12 indexed citations

13.

Yu, Hong, Xinkuan Xiang, Zongming Chen, et al.. (2021). Periaqueductal gray neurons encode the sequential motor program in hunting behavior of mice. Nature Communications. 12(1). 6523–6523. 31 indexed citations

14.

Dai, Jiaqi, Xiaqing Yu, Yali Han, et al.. (2020). TMT-labeling Proteomics of Papillary Thyroid Carcinoma Reveal Invasive Biomarkers. Journal of Cancer. 11(20). 6122–6132. 19 indexed citations

15.

Wang, Zhengshi, Yao Li, Wen‐Li Jiang, et al.. (2019). Simple Cholecystectomy Is Adequate for Patients With T1b Gallbladder Adenocarcinoma < 1 cm in Diameter. Frontiers in Oncology. 9. 409–409. 14 indexed citations

16.

Wang, Zhengshi, Wen‐Li Jiang, Lijuan Zheng, et al.. (2019). Consideration of Age Is Necessary for Increasing the Accuracy of the AJCC TNM Staging System of Pancreatic Neuroendocrine Tumors. Frontiers in Oncology. 9. 906–906. 6 indexed citations

17.

Xu, Yingchun, Fengchun Zhang, Junjian Li, et al.. (2015). RRM1, TUBB3, TOP2A, CYP19A1, CYP2D6: Difference between mRNA and protein expression in predicting prognosis of breast cancer patients. Oncology Reports. 34(4). 1883–1894. 20 indexed citations

18.

Xu, Yingchun, Qiang Liu, Jiaqi Dai, et al.. (2014). Tissue microarray analysis of X-linked inhibitor of apoptosis (XIAP) expression in breast cancer patients. Medical Oncology. 31(3). 764–764. 17 indexed citations

19.

Dai, Jiaqi, Hongxia Wang, Ying Dong, Yinxin Zhang, & Jian Wang. (2013). Bile Acids Affect the Growth of Human Cholangiocarcinoma via NF-kB Pathway. Cancer Investigation. 31(2). 111–120. 37 indexed citations

20.

Dai, Jiaqi, Hongxia Wang, Yihui Shi, et al.. (2011). Impact of bile acids on the growth of human cholangiocarcinoma via FXR. Journal of Hematology & Oncology. 4(1). 41–41. 67 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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