Bo Han

3.6k total citations · 1 hit paper
98 papers, 2.0k citations indexed

About

Bo Han is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bo Han has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 45 papers in Cardiology and Cardiovascular Medicine and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bo Han's work include Congenital Heart Disease Studies (37 papers), Viral Infections and Immunology Research (18 papers) and Coronary Artery Anomalies (16 papers). Bo Han is often cited by papers focused on Congenital Heart Disease Studies (37 papers), Viral Infections and Immunology Research (18 papers) and Coronary Artery Anomalies (16 papers). Bo Han collaborates with scholars based in China, United States and Canada. Bo Han's co-authors include Jonathon Leipsic, Suhny Abbara, Andrew D. Choi, Philipp Blanke, Christopher D. Maroules, Bjarne Linde Nørgaard, Ronen Rubinshtein, Chris Naoum, Michael K. Cheezum and Paul Schoenhagen and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Frontiers in Immunology.

In The Last Decade

Bo Han

81 papers receiving 1.9k citations

Hit Papers

SCCT guidelines for the performance and acquisition of co... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Han China 22 787 698 608 570 423 98 2.0k
Stephan Schubert Germany 26 212 0.3× 598 0.9× 656 1.1× 836 1.5× 519 1.2× 95 1.9k
Audrey White United Kingdom 16 937 1.2× 1.4k 2.0× 486 0.8× 518 0.9× 450 1.1× 33 2.2k
Orly Goitein Israel 26 514 0.7× 1.2k 1.7× 880 1.4× 493 0.9× 561 1.3× 99 2.3k
Adrian C. Borges Germany 32 1.0k 1.3× 1.9k 2.7× 553 0.9× 403 0.7× 535 1.3× 108 2.7k
Fabian Knebel Germany 32 943 1.2× 1.8k 2.6× 475 0.8× 367 0.6× 467 1.1× 147 2.9k
Carmela D. Tan United States 26 295 0.4× 1.6k 2.4× 1.0k 1.7× 642 1.1× 491 1.2× 122 3.1k
Nagib Dahdah Canada 27 310 0.4× 940 1.3× 1.5k 2.4× 545 1.0× 1.4k 3.2× 163 2.7k
Rolf Baumann Germany 15 1.2k 1.5× 2.2k 3.2× 445 0.7× 376 0.7× 437 1.0× 42 2.8k
David Vancraeynest Belgium 30 1.3k 1.7× 2.3k 3.3× 607 1.0× 641 1.1× 695 1.6× 99 2.9k
Cezary Kępka Poland 20 1.1k 1.4× 1.1k 1.6× 1.2k 2.0× 342 0.6× 358 0.8× 143 2.3k

Countries citing papers authored by Bo Han

Since Specialization
Citations

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

Fields of papers citing papers by Bo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Han. A scholar is included among the top collaborators of Bo Han 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 Bo Han. Bo Han 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.
Li, Zhang, et al.. (2025). Macrophage-derived SPP1 exacerbate myocardial injury by interacting with fibroblasts in viral myocarditis. Biology Direct. 20(1). 30–30. 3 indexed citations
2.
Liu, Keyu, Li Zhang, Shan Zhou, et al.. (2025). Peripheral immune imbalance in pediatric fulminant myocarditis revealed by single-cell sequencing and plasma proteomics. Genes and Immunity. 26(4). 394–412.
3.
Tang, Xin, Bo Han, Yi Sun, et al.. (2025). Intradermal delivery of SARS-CoV-2 RBD3-Fc mRNA vaccines via a needle-free injection system induces robust immune responses in rats. Frontiers in Immunology. 16. 1530736–1530736.
4.
Jadhav, Siddharth P., et al.. (2024). Imaging of common coronary artery anomalies and imaging features important for clinical decision-making. Pediatric Radiology. 55(11). 2303–2313. 2 indexed citations
5.
Sachdeva, Ritu, Aimee K. Armstrong, Rima Arnaout, et al.. (2024). Novel Techniques in Imaging Congenital Heart Disease. Journal of the American College of Cardiology. 83(1). 63–81. 15 indexed citations
6.
Ma, Mengjie, Siyu Chen, Xinyue Zhang, et al.. (2023). Identification and functional analysis of circulating small extracellular vesicle lncRNA signatures in children with fulminant myocarditis. Journal of Cellular and Molecular Medicine. 28(2). e18034–e18034. 2 indexed citations
7.
Liu, Keyu & Bo Han. (2023). Role of immune cells in the pathogenesis of myocarditis. Journal of Leukocyte Biology. 115(2). 253–275. 8 indexed citations
8.
Han, Bo, Santiago García, Jamil Aboulhosn, et al.. (2023). Technical recommendations for computed tomography guidance of intervention in the right ventricular outflow tract: Native RVOT, conduits and bioprosthetic valves:. Journal of cardiovascular computed tomography. 18(1). 75–99. 4 indexed citations
10.
Ni, Chao, Huixian Qiu, Shuchi Zhang, et al.. (2022). CircRNA-3302 promotes endothelial-to-mesenchymal transition via sponging miR-135b-5p to enhance KIT expression in Kawasaki disease. Cell Death Discovery. 8(1). 299–299. 10 indexed citations
11.
Lee, Simon, et al.. (2022). Cardiovascular computed tomography in pediatric congenital heart disease: A state of the art review. Journal of cardiovascular computed tomography. 16(6). 467–482. 4 indexed citations
12.
Zhang, Li, et al.. (2021). Circular RNA circACSL1 aggravated myocardial inflammation and myocardial injury by sponging miR-8055 and regulating MAPK14 expression. Cell Death and Disease. 12(5). 487–487. 23 indexed citations
13.
Wang, Yan, Bo Han, Jing Wang, et al.. (2021). Next-Generation Sequencing Reveals Novel Genetic Variants for Dilated Cardiomyopathy in Pediatric Chinese Patients. Pediatric Cardiology. 43(1). 110–120. 11 indexed citations
14.
Han, Bo, et al.. (2021). Transcatheter Device Closure of Perimembranous and Intracristal Ventricular Septal Defects in Children: Medium‐ and Long‐Term Results. Journal of the American Heart Association. 10(11). e020417–e020417. 23 indexed citations
15.
Zhang, Jun, Peng Yin, Bo Han, Jianmin Zhao, & Bo Yin. (2021). The treatment of the atrophic clavicular nonunion by double-plate fixation with autogenous cancellous bone graft: a prospective study. Journal of Orthopaedic Surgery and Research. 16(1). 22–22. 9 indexed citations
16.
Han, Bo, et al.. (2018). Reviews of Interleukin-37: Functions, Receptors, and Roles in Diseases. BioMed Research International. 2018. 1–14. 83 indexed citations
17.
Sun, Lifeng, Xiaomeng Ren, I‐Ching Wang, et al.. (2017). The FOXM1 inhibitor RCM-1 suppresses goblet cell metaplasia and prevents IL-13 and STAT6 signaling in allergen-exposed mice. Science Signaling. 10(475). 67 indexed citations
19.
Han, Bo, et al.. (2016). Pycnogenol Ameliorates Asthmatic Airway Inflammation and Inhibits the Function of Goblet Cells. DNA and Cell Biology. 35(11). 730–739. 7 indexed citations
20.
Han, Bo, et al.. (2009). Dual source CT in detection of coronary artery lesions in children with kawasaki disease. Journal of Shandong University. 47(1). 68–75.

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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