Yi Chen

3.0k total citations · 1 hit paper
108 papers, 2.0k citations indexed

About

Yi Chen is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yi Chen has authored 108 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 20 papers in Epidemiology and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yi Chen's work include Liver Disease Diagnosis and Treatment (13 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Vitamin D Research Studies (9 papers). Yi Chen is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Vitamin D Research Studies (9 papers). Yi Chen collaborates with scholars based in China, United States and Australia. Yi Chen's co-authors include Yingli Lu, Ningjian Wang, Chi Chen, Bing Han, Yingchao Chen, Fangzhen Xia, Chunfang Zhu, Fangzhen Xia, Heng Wan and Ting Xi Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yi Chen

101 papers receiving 2.0k citations

Hit Papers

Associations between abdominal obesity indices and diabet... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Chen China 25 423 418 402 317 272 108 2.0k
Bing Han China 28 350 0.8× 759 1.8× 439 1.1× 369 1.2× 196 0.7× 102 2.3k
Suat Şimşek Netherlands 34 637 1.5× 699 1.7× 354 0.9× 192 0.6× 559 2.1× 138 4.0k
Chunfang Zhu China 25 484 1.1× 395 0.9× 325 0.8× 285 0.9× 180 0.7× 70 1.9k
Jung Sub Lim South Korea 25 349 0.8× 714 1.7× 646 1.6× 230 0.7× 431 1.6× 94 2.2k
Simon Biron Canada 33 432 1.0× 545 1.3× 450 1.1× 326 1.0× 1.3k 4.7× 71 3.3k
Marina Scavini Italy 31 499 1.2× 1.2k 2.8× 328 0.8× 137 0.4× 267 1.0× 116 3.0k
Xiaopei Cao China 19 732 1.7× 332 0.8× 242 0.6× 90 0.3× 179 0.7× 81 1.9k
Sarantis Livadas Greece 31 391 0.9× 725 1.7× 213 0.5× 209 0.7× 143 0.5× 98 2.4k
Ayumu Nakashima Japan 31 887 2.1× 491 1.2× 482 1.2× 163 0.5× 528 1.9× 190 3.7k
Naila Goldenberg United States 27 167 0.4× 601 1.4× 142 0.4× 202 0.6× 212 0.8× 66 2.4k

Countries citing papers authored by Yi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Chen. A scholar is included among the top collaborators of Yi Chen 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 Yi Chen. Yi Chen 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.
Chen, Yi, Zhijian Wu, Meng Li, & Yanqing Wu. (2025). The relationship between urinary glyphosate and all-cause and specific-cause mortality: a prospective study. Scientific Reports. 15(1). 10759–10759.
2.
Meng, Fangang, Peng Liu, Yang Du, et al.. (2024). Association Between Iodine Status and Prevalence of Hypothyroidism, Autoimmune Thyroiditis, and Thyroid Nodule: a Cross-Sectional Study in Shandong Province, China. Biological Trace Element Research. 203(1). 98–104. 4 indexed citations
3.
Zhao, He, Yanan Zhu, Yu Chen, et al.. (2023). A deep unrolled neural network for real-time MRI-guided brain intervention. Nature Communications. 14(1). 8257–8257. 6 indexed citations
4.
Li, Huixia, Chi Chen, Yi Chen, et al.. (2023). High prevalence of metabolic diseases, liver steatosis and fibrosis among Chinese psychiatric patients. BMC Psychiatry. 23(1). 206–206. 3 indexed citations
5.
Zhou, Yuhong, et al.. (2022). Differences in sex- and age-associated mortality in patients with anti-MDA5-positive dermatomyositis. Modern Rheumatology. 33(5). 975–981. 10 indexed citations
6.
7.
Zhao, Xiaoxiao, Chen Liu, Peng Zhou, et al.. (2022). Development and Validation of a Prediction Rule for Major Adverse Cardiac and Cerebrovascular Events in High-Risk Myocardial Infarction Patients After Primary Percutaneous Coronary Intervention. Clinical Interventions in Aging. Volume 17. 1099–1111. 2 indexed citations
9.
Chen, Chi, Bin Wang, Haojie Zhang, et al.. (2022). Blood Lead Level Is Associated with Visceral Adipose Dysfunction in Patients with Type 2 Diabetes. Biological Trace Element Research. 201(5). 2266–2273. 2 indexed citations
10.
Zhang, Haojie, Jingsi Chen, Chi Chen, et al.. (2021). Exposure to phthalates and cardiovascular diseases in Chinese with type 2 diabetes. Environmental Science and Pollution Research. 28(41). 58113–58122. 19 indexed citations
11.
Li, Jiannan, Zhaoxue Sheng, Yu Ting Tan, et al.. (2020). Association of plasma trimethylamine N-Oxide level with healed culprit plaques examined by optical coherence tomography in patients with ST-Segment elevation myocardial infarction. Nutrition Metabolism and Cardiovascular Diseases. 31(1). 145–152. 5 indexed citations
12.
Chen, Yi, et al.. (2020). Evaluation of the Reliability and Validity of the Behavioral Indicators of Infant Pain Scale in Chinese Neonates. Pain Management Nursing. 21(5). 456–461. 7 indexed citations
13.
Chen, Chi, Yi Chen, Hualing Zhai, et al.. (2020). Iodine nutrition status and its association with microvascular complications in urban dwellers with type 2 diabetes. Nutrition & Metabolism. 17(1). 70–70. 7 indexed citations
14.
Wang, Ningjian, Chi Chen, Li Zhao, et al.. (2018). Vitamin D and Nonalcoholic Fatty Liver Disease: Bi-directional Mendelian Randomization Analysis. EBioMedicine. 28. 187–193. 51 indexed citations
15.
Chen, Yi, et al.. (2016). Cesarean Rate and Risk Factors for Singleton Breech Presentation in China.. PubMed. 61(5-6). 270–4. 8 indexed citations
16.
Wang, Ningjian, Bing Han, Qin Li, et al.. (2015). Follicle-stimulating hormone associates with prediabetes and diabetes in postmenopausal women. Acta Diabetologica. 53(2). 227–236. 67 indexed citations
17.
Hou, Lei, Guanghui Li, Liying Zou, et al.. (2014). [Cesarean delivery rate and indications in mainland China: a cross sectional study in 2011].. PubMed. 49(10). 728–35. 40 indexed citations
18.
Liu, Xiaoli, Liying Zou, Yi Chen, et al.. (2014). [Effects of maternal age on pregnancy: a retrospective cohort study].. PubMed. 94(25). 1984–8. 18 indexed citations
19.
Zhang, Yong, Kang-Yong Zhu, Yi Jin, et al.. (2008). In Vivo Interstitial Migration of Primitive Macrophages Mediated by JNK-Matrix Metalloproteinase 13 Signaling in Response to Acute Injury. The Journal of Immunology. 181(3). 2155–2164. 72 indexed citations
20.
Chen, Yi, et al.. (2008). Nr4a2 is essential for the differentiation of dopaminergic neurons during zebrafish embryogenesis. Molecular and Cellular Neuroscience. 39(2). 202–210. 39 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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