Linjun Xie

1.1k total citations
50 papers, 695 citations indexed

About

Linjun Xie is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Linjun Xie has authored 50 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Surgery. Recurrent topics in Linjun Xie's work include Cardiac Imaging and Diagnostics (20 papers), Cardiovascular Function and Risk Factors (18 papers) and Advanced MRI Techniques and Applications (16 papers). Linjun Xie is often cited by papers focused on Cardiac Imaging and Diagnostics (20 papers), Cardiovascular Function and Risk Factors (18 papers) and Advanced MRI Techniques and Applications (16 papers). Linjun Xie collaborates with scholars based in China, United States and Australia. Linjun Xie's co-authors include Yingkun Guo, Zhi‐gang Yang, Huayan Xu, Yue Gao, Jiang Li, Ke Shi, Lingyi Wen, Mengting Shen, Kaiyue Diao and Xi Liu and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and World Journal of Gastroenterology.

In The Last Decade

Linjun Xie

45 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linjun Xie China 16 463 299 100 87 76 50 695
Kristoffer Grundtvig Skaarup Denmark 14 545 1.2× 281 0.9× 85 0.8× 29 0.3× 95 1.3× 83 776
Hirad Yarmohammadi United States 16 775 1.7× 204 0.7× 147 1.5× 23 0.3× 73 1.0× 78 1.0k
Lilia Oreto Italy 16 645 1.4× 211 0.7× 141 1.4× 21 0.2× 127 1.7× 53 838
Francesco Angeli Italy 9 297 0.6× 124 0.4× 81 0.8× 92 1.1× 32 0.4× 27 402
Monodeep Biswas United States 12 276 0.6× 113 0.4× 98 1.0× 49 0.6× 112 1.5× 28 453
Christopher Bianco United States 14 322 0.7× 87 0.3× 201 2.0× 22 0.3× 42 0.6× 51 612
Nahum Calvo Spain 11 69 0.1× 170 0.6× 65 0.7× 38 0.4× 80 1.1× 23 533
Magdalena Holzknecht Austria 16 427 0.9× 276 0.9× 140 1.4× 12 0.1× 69 0.9× 58 563
Djeven P. Deva Canada 15 503 1.1× 303 1.0× 95 0.9× 38 0.4× 130 1.7× 64 724
Enver Tahir Germany 14 556 1.2× 374 1.3× 102 1.0× 10 0.1× 67 0.9× 56 768

Countries citing papers authored by Linjun Xie

Since Specialization
Citations

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

Fields of papers citing papers by Linjun Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linjun Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Linjun Xie. A scholar is included among the top collaborators of Linjun Xie 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 Linjun Xie. Linjun Xie 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, Yun, Linjun Xie, Dingyi Zhang, et al.. (2025). Advances in genetic diagnosis and therapy of hereditary heart disease: a bibliometric review from 2004 to 2024. Frontiers in Medicine. 11. 1507313–1507313.
2.
Li, Hongyu, Linjun Xie, Jian‐Gao Fan, et al.. (2025). Intestinal flora was associated with occurrence risk of chronic non-communicable diseases. World Journal of Gastroenterology. 31(11). 103507–103507. 2 indexed citations
5.
Xie, Linjun, Hong Xu, Xuelian He, et al.. (2023). The potential of 1.5 T magnetic resonance imaging for the evaluation of fetal anomalies of the great vessels. Frontiers in Pediatrics. 11. 1136892–1136892. 1 indexed citations
6.
Xu, Rong, Huayan Xu, Linjun Xie, et al.. (2023). Free‐Breathing Compressed Sensing Cine Cardiac MRI for Assessment of Left Ventricular Strain by Feature Tracking in Children. Journal of Magnetic Resonance Imaging. 59(5). 1832–1840. 3 indexed citations
7.
Ye, Lu, Danqing Wang, Qingli Li, et al.. (2023). Chemotherapy effect on myocardial fibrosis markers in patients with gynecologic cancer and low cardiovascular risk. Frontiers in Oncology. 13. 1173838–1173838. 2 indexed citations
9.
Jiang, Li, Ke Shi, Yingkun Guo, et al.. (2020). The additive effects of obesity on myocardial microcirculation in diabetic individuals: a cardiac magnetic resonance first-pass perfusion study. Cardiovascular Diabetology. 19(1). 52–52. 25 indexed citations
10.
Xu, Rong, Kun Zhang, Huayan Xu, et al.. (2020). Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease. Frontiers in Medicine. 7. 518–518. 10 indexed citations
11.
12.
Xie, Linjun, Zhihui Dong, Zhi‐gang Yang, et al.. (2020). Assessment of left ventricular deformation in patients with type 2 diabetes mellitus by cardiac magnetic resonance tissue tracking. Scientific Reports. 10(1). 13126–13126. 12 indexed citations
13.
Yang, Zhi‐gang, Hang Fu, Hao Xu, et al.. (2020). Late gadolinium enhancement is a risk factor for major adverse cardiac events in unrecognised myocardial infarction without apparent symptoms: a meta-analysis. Clinical Radiology. 76(1). 79.e1–79.e11. 4 indexed citations
14.
Fu, Hang, Lingyi Wen, Huayan Xu, et al.. (2020). Prognostic value of multiple cardiac magnetic resonance imaging parameters in patients with idiopathic dilated cardiomyopathy. International Journal of Cardiology. 325. 89–95. 10 indexed citations
15.
Gao, Yue, Zhi‐gang Yang, Xi Liu, et al.. (2019). Evaluation of myocardial fibrosis in diabetes with cardiac magnetic resonance T1-mapping: Correlation with the high-level hemoglobin A1c. Diabetes Research and Clinical Practice. 150. 72–80. 24 indexed citations
16.
Diao, Kaiyue, Zhi‐gang Yang, Min Ma, et al.. (2017). The Diagnostic Value of Global Longitudinal Strain (GLS) on Myocardial Infarction Size by Echocardiography: A Systematic Review and Meta-analysis. Scientific Reports. 7(1). 10082–10082. 28 indexed citations
17.
Liang, Shuang, et al.. (2017). Glucose variability for cardiovascular risk factors in type 2 diabetes: a meta-analysis. Journal of Diabetes & Metabolic Disorders. 16(1). 45–45. 41 indexed citations
18.
Diao, Kaiyue, Zhi‐gang Yang, Huayan Xu, et al.. (2016). Histologic validation of myocardial fibrosis measured by T1 mapping: a systematic review and meta-analysis. Journal of Cardiovascular Magnetic Resonance. 18(1). 92–92. 120 indexed citations
19.
Singh, Charanjeet, Linjun Xie, Stephen C. Schmechel, J. Carlos Manivel, & Stefan E. Pambuccian. (2011). Epithelioid angiosarcoma of the kidney: A diagnostic dilemma in fine‐needle aspiration cytology. Diagnostic Cytopathology. 40(S2). E131–9. 19 indexed citations
20.
Xie, Linjun, Stephen C. Schmechel, & Stefan E. Pambuccian. (2011). Tigroid background in an endoscopic ultrasound‐guided fine‐needle aspirate of a mediastinal lymph node metastasis of pulmonary squamous‐cell carcinoma. Diagnostic Cytopathology. 40(5). 430–432. 2 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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