Li Dong

2.0k total citations
69 papers, 1.4k citations indexed

About

Li Dong is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Li Dong has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 30 papers in Pulmonary and Respiratory Medicine and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Li Dong's work include Cerebrovascular and Carotid Artery Diseases (20 papers), Atrial Fibrillation Management and Outcomes (15 papers) and Cardiac Imaging and Diagnostics (15 papers). Li Dong is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (20 papers), Atrial Fibrillation Management and Outcomes (15 papers) and Cardiac Imaging and Diagnostics (15 papers). Li Dong collaborates with scholars based in China, United States and United Kingdom. Li Dong's co-authors include Chun Yuan, Thomas S. Hatsukami, Hunter R. Underhill, Minako Oikawa, Hideki Ota, Baocheng Chu, Guoguang Ma, Vasily L. Yarnykh, Nayak L. Polissar and J. Kevin DeMarco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Li Dong

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Dong China 21 855 729 489 424 291 69 1.4k
Youbin Deng China 18 387 0.5× 418 0.6× 484 1.0× 293 0.7× 228 0.8× 73 1.4k
Tae‐Hyun Yang South Korea 19 308 0.4× 818 1.1× 465 1.0× 203 0.5× 684 2.4× 73 1.3k
Deniz Elçik Türkiye 21 135 0.2× 657 0.9× 169 0.3× 224 0.5× 239 0.8× 73 1.2k
Dimitrios A. Vrachatis Greece 17 226 0.3× 784 1.1× 113 0.2× 266 0.6× 240 0.8× 100 1.3k
Erwan Bozec France 21 512 0.6× 1.3k 1.8× 201 0.4× 109 0.3× 324 1.1× 79 1.9k
Mustafa Kurt Türkiye 23 302 0.4× 1.4k 1.9× 528 1.1× 443 1.0× 395 1.4× 96 2.1k
Vikas Veeranna United States 18 203 0.2× 458 0.6× 200 0.4× 257 0.6× 254 0.9× 49 1.3k
Itzhak Herz Israel 23 292 0.3× 1.0k 1.4× 444 0.9× 332 0.8× 424 1.5× 65 1.7k
Michel Corban United States 21 429 0.5× 845 1.2× 521 1.1× 90 0.2× 706 2.4× 58 1.6k
Cheng‐I Cheng Taiwan 22 307 0.4× 744 1.0× 225 0.5× 145 0.3× 552 1.9× 81 1.3k

Countries citing papers authored by Li Dong

Since Specialization
Citations

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

Fields of papers citing papers by Li Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Li Dong. A scholar is included among the top collaborators of Li Dong 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 Li Dong. Li Dong 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, Jing, et al.. (2021). The Effect of Continuous Passive Motion in Patients Treated With Total Knee Arthroplasty for Osteoarthritis. American Journal of Physical Medicine & Rehabilitation. 100(12). 1160–1169. 7 indexed citations
4.
Dong, Yijun, et al.. (2019). Optimal oral anticoagulant therapy in Chinese patients with mechanical heart valves. European Journal of Pharmaceutical Sciences. 144. 105202–105202. 8 indexed citations
5.
Li, Qian, Jing Wang, Qin Zhou, et al.. (2019). The Prediction Model of Warfarin Individual Maintenance Dose for Patients Undergoing Heart Valve Replacement, Based on the Back Propagation Neural Network. Clinical Drug Investigation. 40(1). 41–53. 14 indexed citations
6.
Wu, Qingxia, Shuo Wang, Yan Wang, et al.. (2019). Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer. Radiotherapy and Oncology. 138. 141–148. 85 indexed citations
7.
Wang, Jing, Xiaowen Li, Li Dong, et al.. (2018). Serum uric acid levels and decreased estimated glomerular filtration rate in patients with type 2 diabetes: A cohort study and meta‐analysis. Diabetes/Metabolism Research and Reviews. 34(7). e3046–e3046. 22 indexed citations
8.
Wang, Jing, Qin Zhou, Li Dong, et al.. (2018). Warfarin maintenance dose Prediction for Patients undergoing heart valve replacement— a hybrid model with genetic algorithm and Back-Propagation neural network. Scientific Reports. 8(1). 9712–9712. 22 indexed citations
9.
Zhu, Xiliang, et al.. (2018). Ten-year experience of tricuspid valve replacement with the St. Jude medical valve. Scientific Reports. 8(1). 16654–16654. 7 indexed citations
10.
Dong, Li, et al.. (2017). Feasibility study of rapid three dimensional MR angiography in visualization of carotid atherosclerotic plaque. Zhonghua fangshexian yixue zazhi. 51(4). 299–303. 1 indexed citations
11.
Chen, Qiulin, Li Dong, Yijun Dong, et al.. (2015). Security and cost comparison of INR self-testing and conventional hospital INR testing in patients with mechanical heart valve replacement. Journal of Cardiothoracic Surgery. 10(1). 4–4. 13 indexed citations
12.
Fu, Bo, Li Dong, & Jian Yang. (2014). Iatrogenic innominate arteriovenous fistula repaired with the stent-graft. Journal of Thoracic and Cardiovascular Surgery. 148(6). 3234–3235.
13.
Xu, Dongxiang, Daniel S. Hippe, Hunter R. Underhill, et al.. (2014). Prediction of High-Risk Plaque Development and Plaque Progression With the Carotid Atherosclerosis Score. JACC. Cardiovascular imaging. 7(4). 366–373. 56 indexed citations
14.
Dong, Li, et al.. (2012). Clinical analysis of concomitant valve replacement and bipolar radiofrequency ablation in 191 patients. Journal of Thoracic and Cardiovascular Surgery. 145(4). 1013–1017. 11 indexed citations
15.
Dong, Li, et al.. (2012). EVALUATION OF LEFT ATRIAL VOLUME AND DIAMETER BY 64-SLICE MULTI DETECTOR COMPUTED TOMOGRAPHY. Journal of the American College of Cardiology. 59(13). E1203–E1203.
17.
Zhao, Xue-Qiao, Li Dong, Binh An P. Phan, et al.. (2011). MR Imaging of Carotid Plaque Composition During Lipid-Lowering Therapy. JACC. Cardiovascular imaging. 4(9). 977–986. 120 indexed citations
18.
Jia, Qiang, et al.. (2011). Asymptomatic Rib Cavernous Hemangioma. Clinical Nuclear Medicine. 36(12). 1112–1114. 5 indexed citations
19.
DeMarco, J. Kevin, Hideki Ota, Hunter R. Underhill, et al.. (2010). MR Carotid Plaque Imaging and Contrast-Enhanced MR Angiography Identifies Lesions Associated with Recent Ipsilateral Thromboembolic Symptoms: An In Vivo Study at 3T. American Journal of Neuroradiology. 31(8). 1395–1402. 67 indexed citations
20.
Underhill, Hunter R., Thomas S. Hatsukami, Jianming Cai, et al.. (2010). A Noninvasive Imaging Approach to Assess Plaque Severity: The Carotid Atherosclerosis Score. American Journal of Neuroradiology. 31(6). 1068–1075. 47 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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