Qiang Su

606 total citations
35 papers, 454 citations indexed

About

Qiang Su is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Qiang Su has authored 35 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Epidemiology. Recurrent topics in Qiang Su's work include Cancer Immunotherapy and Biomarkers (10 papers), Photoacoustic and Ultrasonic Imaging (6 papers) and Lung Cancer Treatments and Mutations (5 papers). Qiang Su is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Photoacoustic and Ultrasonic Imaging (6 papers) and Lung Cancer Treatments and Mutations (5 papers). Qiang Su collaborates with scholars based in China, Canada and United States. Qiang Su's co-authors include Yanli Hou, Zu‐Hua Gao, Bangwei Cao, Li Teng, Jingbo Wu, Xiao‐Chen Zhang, Chenguang Zhang, Ying Yang, Yuxia Yao and Yan Nie and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Frontiers in Immunology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Qiang Su

32 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Su China 11 259 177 76 64 63 35 454
Fumihiko Kinoshita Japan 15 305 1.2× 242 1.4× 58 0.8× 38 0.6× 54 0.9× 62 547
Mitchell S. von Itzstein United States 11 222 0.9× 101 0.6× 42 0.6× 45 0.7× 29 0.5× 32 344
Wenzhe Kang China 10 163 0.6× 178 1.0× 55 0.7× 43 0.7× 50 0.8× 33 376
Joaquín Mosquera Spain 12 305 1.2× 226 1.3× 53 0.7× 24 0.4× 55 0.9× 39 457
Michael Li United States 12 168 0.6× 56 0.3× 77 1.0× 72 1.1× 29 0.5× 32 388
Nicolás Moreno‐Mata Spain 15 150 0.6× 259 1.5× 88 1.2× 87 1.4× 50 0.8× 56 514
Paul Baverel United States 10 210 0.8× 133 0.8× 39 0.5× 17 0.3× 67 1.1× 28 442
Yingying Huang China 9 106 0.4× 60 0.3× 106 1.4× 47 0.7× 26 0.4× 30 326
Jonathan Benzaquen France 14 221 0.9× 240 1.4× 122 1.6× 44 0.7× 82 1.3× 44 560
Yuqian Huang China 13 179 0.7× 120 0.7× 119 1.6× 47 0.7× 35 0.6× 33 490

Countries citing papers authored by Qiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Su. A scholar is included among the top collaborators of Qiang Su 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 Qiang Su. Qiang Su 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.
2.
Wu, Min, Yifeng Li, Dong Liu, et al.. (2025). Time trends and health inequalities of cirrhosis caused by metabolic Dysfunction-associated steatotic liver disease from 1990 to 2021: A global burden of disease study. Journal of Endocrinological Investigation. 48(11). 2599–2614.
3.
Xu, Pengfei, Jing Zhao, Mingxi Wan, et al.. (2024). Classification of multi‐feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks. Medical Physics. 51(6). 4243–4257. 5 indexed citations
4.
Su, Qiang, et al.. (2023). Preparing future general practitioners: the effects of individual, familial, and institutional characteristics. BMC Medical Education. 23(1). 850–850. 1 indexed citations
5.
Ma, Yingjie, Junxian Yu, Xiaoting Ma, et al.. (2023). Efficacy and adverse events of immune checkpoint inhibitors in esophageal cancer patients: Challenges and perspectives for immunotherapy. Asia-Pacific Journal of Clinical Oncology. 20(2). 180–187. 2 indexed citations
6.
Su, Qiang, et al.. (2022). Sex-related disparities in students’ disaster responses in the post-COVID-19 era. International Journal of Disaster Risk Reduction. 83. 103446–103446. 1 indexed citations
7.
Su, Qiang, et al.. (2022). The Relationships Between Family Characteristics and Undergraduate Students' COVID-19 Responses: A Cross-Sectional Study in China. Frontiers in Public Health. 10. 873696–873696. 7 indexed citations
8.
Ma, Yingjie, et al.. (2021). Risk of Cardiac Adverse Events in Patients Treated With Immune Checkpoint Inhibitor Regimens: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 11. 645245–645245. 24 indexed citations
10.
Tong, Chao, et al.. (2020). Pulmonary Nodule Classification Based on Heterogeneous Features Learning. IEEE Journal on Selected Areas in Communications. 39(2). 574–581. 32 indexed citations
11.
Wang, Diya, Guy Cloutier, Yanli Hou, et al.. (2019). Automatic Respiratory Gating Hepatic DCEUS-based Dual-phase Multi-parametric Functional Perfusion Imaging using a Derivative Principal Component Analysis. Theranostics. 9(21). 6143–6156. 2 indexed citations
12.
Xu, Min, et al.. (2019). Risk of Neurological Toxicities Following the Use of Different Immune Checkpoint Inhibitor Regimens in Solid Tumors. The Neurologist. 24(3). 75–83. 34 indexed citations
13.
Su, Qiang, Xiao‐Chen Zhang, Chenguang Zhang, et al.. (2018). Risk of Immune-Related Pancreatitis in Patients with Solid Tumors Treated with Immune Checkpoint Inhibitors: Systematic Assessment with Meta-Analysis. Journal of Immunology Research. 2018. 1–9. 44 indexed citations
14.
Su, Qiang, et al.. (2018). Risk of immune-related colitis with PD-1/PD-L1 inhibitors vs chemotherapy in solid tumors: systems assessment. Journal of Cancer. 9(9). 1614–1622. 14 indexed citations
15.
Su, Qiang, et al.. (2018). Serum level of co-expressed hub miRNAs as diagnostic and prognostic biomarkers for pancreatic ductal adenocarcinoma. Journal of Cancer. 9(21). 3991–3999. 29 indexed citations
16.
Su, Qiang, Xiao‐Chen Zhang, Huairong Zhang, et al.. (2018). The risk of immune-related endocrine disorders associated with anti-PD-1 inhibitors therapy for solid tumors: A systematic review and meta-analysis. International Immunopharmacology. 59. 328–338. 21 indexed citations
17.
Ye, Ziliang, Qiang Su, Wenqin Guo, et al.. (2017). Clinical effect of trimetazidine on prevention of contrast-induced nephropathy in patients with renal insufficiency. Medicine. 96(9). e6059–e6059. 14 indexed citations
18.
Jiang, Donglin, Xu Wang, Qiang Su, et al.. (2015). Milkvetch root improves immune function in patients with acute exacerbation of COPD. Bio-Medical Materials and Engineering. 26(1_suppl). S2113–21. 6 indexed citations
19.
Cao, Bangwei, Shuo Dong, Qiang Su, et al.. (2012). Lack of association between the unique LMP2 gene polymorphism and the outcome of lung cancer in a population of Chinese Han nationality. Human Immunology. 73(5). 580–584. 5 indexed citations
20.
Wang, Chao, et al.. (2009). [A clinical study on the diagnostic criteria of multiple organ dysfunction syndrome].. PubMed. 47(1). 40–3. 3 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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