Chen He

1.9k total citations · 2 hit papers
52 papers, 754 citations indexed

About

Chen He is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chen He has authored 52 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 17 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chen He's work include Coronary Interventions and Diagnostics (10 papers), Acute Myocardial Infarction Research (10 papers) and Antiplatelet Therapy and Cardiovascular Diseases (8 papers). Chen He is often cited by papers focused on Coronary Interventions and Diagnostics (10 papers), Acute Myocardial Infarction Research (10 papers) and Antiplatelet Therapy and Cardiovascular Diseases (8 papers). Chen He collaborates with scholars based in China, United States and Canada. Chen He's co-authors include Brooke Levis, Andrea Benedetti, Brett D. Thombs, Yin Wu, Parash Mani Bhandari, Dipika Neupane, Zelalem Negeri, Ankur Krishnan, Ying Sun and Ying Sun and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chen He

43 papers receiving 749 citations

Hit Papers

Accuracy of the Patient Health Questionnaire-9 for screen... 2021 2026 2022 2024 2021 2021 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
Chen He China 13 174 118 92 75 74 52 754
Katsuji Nishimura Japan 20 206 1.2× 102 0.9× 42 0.5× 44 0.6× 56 0.8× 98 1.2k
Marjolein H. Kamphuis Netherlands 11 197 1.1× 79 0.7× 32 0.3× 109 1.5× 93 1.3× 12 756
Benjamin H.M. Hunn United Kingdom 12 252 1.4× 45 0.4× 70 0.8× 39 0.5× 60 0.8× 13 970
Jill C. Newman United States 16 100 0.6× 137 1.2× 69 0.8× 33 0.4× 160 2.2× 48 856
Ming‐Kung Wu Taiwan 18 51 0.3× 128 1.1× 92 1.0× 61 0.8× 63 0.9× 51 1.1k
Jun Tayama Japan 14 120 0.7× 78 0.7× 72 0.8× 69 0.9× 44 0.6× 43 516
Emma O’Donnell United Kingdom 18 210 1.2× 110 0.9× 37 0.4× 72 1.0× 230 3.1× 54 1.1k
Katherine Grichnik United States 15 258 1.5× 120 1.0× 281 3.1× 58 0.8× 51 0.7× 38 961
Vicky Hertig United States 12 125 0.7× 72 0.6× 125 1.4× 146 1.9× 65 0.9× 13 909
Thomas A. Cavalieri United States 12 68 0.4× 124 1.1× 67 0.7× 65 0.9× 165 2.2× 29 771

Countries citing papers authored by Chen He

Since Specialization
Citations

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

Fields of papers citing papers by Chen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen He

This figure shows the co-authorship network connecting the top 25 collaborators of Chen He. A scholar is included among the top collaborators of Chen He 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 Chen He. Chen He 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.
He, Chen, Chuangshi Wang, Xiaofei Li, et al.. (2025). Effectiveness of upgrading to left bundle branch area pacing compared with biventricular pacing in patients with right ventricular pacing-induced cardiomyopathy. Heart Rhythm. 23(3). e411–e419. 1 indexed citations
2.
Zhai, Chun, et al.. (2025). Turnover intentions among rural-oriented medical students in Western China: a constructivist grounded theory study. Primary Health Care Research & Development. 26. e28–e28.
3.
Wang, Jiameng, Cong Wang, Ziqi Ren, et al.. (2025). Evaluating Brain Activity in Patients With Chronic Disorders of Consciousness After Traumatic Brain Injury Using EEG Microstate Analysis During Hyperbaric Oxygen Therapy. CNS Neuroscience & Therapeutics. 31(1). e70220–e70220. 1 indexed citations
5.
He, Chen, Xiaohan Fan, Hao‐Jie Zhu, et al.. (2024). Comparison of clinical and echocardiographic outcomes between left bundle branch area pacing and right ventricular pacing in older patients. Pacing and Clinical Electrophysiology. 47(10). 1346–1357. 1 indexed citations
6.
Zhu, Hao‐Jie, Chaotong Qin, Qian Wang, et al.. (2024). Comparisons of long-term clinical outcomes with left bundle branch pacing, left ventricular septal pacing, and biventricular pacing for cardiac resynchronization therapy. Heart Rhythm. 21(8). 1342–1353. 20 indexed citations
7.
Cai, Changsi, Stefan Andreas Zambach, Søren Grubb, et al.. (2023). Impaired dynamics of precapillary sphincters and pericytes at first-order capillaries predict reduced neurovascular function in the aging mouse brain. Nature Aging. 3(2). 173–184. 28 indexed citations
8.
He, Chen, et al.. (2023). Serum human epididymis protein 4 is associated with disease severity in patients with IgA nephropathy. Clinical Biochemistry. 123. 110701–110701. 2 indexed citations
9.
Egan, Daniel J., et al.. (2022). The Emergency Medicine Resident Retreat: Creating and Sustaining a Transformative and Reflective Experience. Cureus. 14(8). e27601–e27601. 2 indexed citations
10.
Huang, Yawei, Chiyu Zhang, Zhenfeng Ye, et al.. (2022). Identification of cuproptosis-related long noncoding RNA signature for predicting prognosis and immunotherapy response in bladder cancer. Scientific Reports. 12(1). 21386–21386. 6 indexed citations
11.
Wu, Yin, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis. BMJ. 373. n972–n972. 138 indexed citations breakdown →
14.
He, Chen, Ying Song, Yi Yao, et al.. (2017). Prognostic Value of the Clinical SYNTAX Score on 2-Year Outcomes in Patients With Acute Coronary Syndrome Who Underwent Percutaneous Coronary Intervention. The American Journal of Cardiology. 119(10). 1493–1499. 15 indexed citations
15.
Tang, Xiaofang, Yaling Han, Jiahui Zhang, et al.. (2016). CYP2C19 genotyping combined with on-clopidogrel platelet reactivity in predicting major adverse cardiovascular events in Chinese patients with percutaneous coronary intervention. Thrombosis Research. 147. 108–114. 10 indexed citations
16.
He, Chen, Jiannan Zhang, Fengyan Meng, et al.. (2016). Molecular characterization of three NPY receptors (Y2, Y5 and Y7) in chickens: Gene structure, tissue expression, promoter identification, and functional analysis. General and Comparative Endocrinology. 236. 24–34. 28 indexed citations
19.
Zhang, Yan, et al.. (2009). Correlation of FcγRIIa (CD32) Polymorphism and IgG Antibody Subclasses in Hemolytic Disease of Newborn. Neonatology. 96(1). 1–5. 5 indexed citations
20.
He, Chen. (2005). Treatment of Perennial Allergic Rhinitis by Buqi Gubiao Yishen Therapy: A Clinical Observation of 56 Cases. 1 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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