Chang Su

1.8k total citations · 1 hit paper
30 papers, 757 citations indexed

About

Chang Su is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chang Su has authored 30 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Epidemiology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chang Su's work include Cutaneous lymphoproliferative disorders research (6 papers), Lymphoma Diagnosis and Treatment (4 papers) and Nail Diseases and Treatments (3 papers). Chang Su is often cited by papers focused on Cutaneous lymphoproliferative disorders research (6 papers), Lymphoma Diagnosis and Treatment (4 papers) and Nail Diseases and Treatments (3 papers). Chang Su collaborates with scholars based in China, United States and Canada. Chang Su's co-authors include Paul J. Zhang, Zishu Zhang, Harrison X. Bai, Hao Zhou, Martin Vallières, Li Yang, Bo Xiao, Weihua Liao, Derek A. Oldridge and Jianhua Zhou and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Radiology.

In The Last Decade

Chang Su

25 papers receiving 751 citations

Hit Papers

MRI features predict survival and molecular markers in di... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MRI features predict survival and molecular markers in diffuse lower-grade gliomas
    2016 269 citations Hao Zhou, Martin Vallières et al. Neuro-Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Su China 12 376 279 173 142 108 30 757
Gianluca Ferini Italy 18 220 0.6× 175 0.6× 321 1.9× 189 1.3× 27 0.3× 103 834
Shingo Kihira United States 15 245 0.7× 199 0.7× 99 0.6× 160 1.1× 179 1.7× 35 1.1k
Matakazu Furukawa Japan 13 156 0.4× 43 0.2× 160 0.9× 146 1.0× 79 0.7× 30 622
Wei‐Shi Yeh United States 14 132 0.4× 309 1.1× 767 4.4× 123 0.9× 29 0.3× 29 1.6k
Aman Khurana United States 15 207 0.6× 104 0.4× 102 0.6× 163 1.1× 75 0.7× 48 879
Ryo Kurokawa Japan 15 227 0.6× 137 0.5× 100 0.6× 70 0.5× 14 0.1× 124 829
Christos Antypas Greece 17 438 1.2× 59 0.2× 497 2.9× 95 0.7× 21 0.2× 69 1.0k
Aftab Khan United Kingdom 16 141 0.4× 72 0.3× 88 0.5× 263 1.9× 13 0.1× 29 726
Sujay A. Vora United States 21 314 0.8× 130 0.5× 864 5.0× 127 0.9× 22 0.2× 84 1.3k
Valerio Nardone Italy 20 628 1.7× 120 0.4× 465 2.7× 74 0.5× 44 0.4× 105 1.3k

Countries citing papers authored by Chang Su

Since Specialization
Citations

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

Fields of papers citing papers by Chang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Su. A scholar is included among the top collaborators of Chang 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 Chang Su. Chang 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.
Su, Chang, Jianping Ye, & Jin Liu. (2025). Predictive modeling of aneurysmal subarachnoid hemorrhage with acute lung injury complicating delayed cerebral ischaemia. Frontiers in Neurology. 16. 1535654–1535654.
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Hou, Yachen, Chang Su, Yu Yang, et al.. (2024). The future for the therapeutics of abdominal aortic aneurysm: engineered nanoparticles drug delivery for abdominal aortic aneurysm. Frontiers in Bioengineering and Biotechnology. 11. 1324406–1324406. 6 indexed citations
5.
Zhang, Xinyu, et al.. (2024). Development of a serum miRNA panel for detection of Alzheimer's Disease. Alzheimer s & Dementia. 20(S2).
6.
Xiao, Yunyu, J. John Mann, Julian Chun‐Chung Chow, et al.. (2023). Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health. JAMA Pediatrics. 177(12). 1294–1294. 34 indexed citations
7.
Su, Chang, Zhenxing Xu, Eric A. Hoffman, et al.. (2021). Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19. Scientific Reports. 11(1). 15872–15872. 19 indexed citations
8.
Su, Chang, Shawn E. Cowper, Sarika Ramachandran, & Alicia J. Little. (2020). Erythema nodosum due to Mycobacterium abscessus infection complicating autologous fat transfer. International Journal of Women’s Dermatology. 6(4). 340–341. 1 indexed citations
9.
Halsey, Kasey, Jing Wu, Chang Su, et al.. (2020). Ablation Therapy for Advanced Stage Non-Small Cell Lung Cancer: A National Cancer Database Study. Journal of Vascular and Interventional Radiology. 31(8). 1210–1215.e4. 3 indexed citations
10.
Zhou, Hao, Ken Chang, Harrison X. Bai, et al.. (2019). Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas. Journal of Neuro-Oncology. 142(2). 299–307. 99 indexed citations
11.
Wu, Jing, Harrison X. Bai, Lilian Chan, et al.. (2019). Sublobar resection compared with stereotactic body radiation therapy and ablation for early stage non–small cell lung cancer: A National Cancer Database study. Journal of Thoracic and Cardiovascular Surgery. 160(5). 1350–1357.e11. 31 indexed citations
12.
Wu, Jing, Harrison X. Bai, Chang Su, et al.. (2019). A Comparison of Cryoablation with Heat-Based Thermal Ablation for Treatment of Clinical T1a Renal Cell Carcinoma: A National Cancer Database Study. Journal of Vascular and Interventional Radiology. 30(7). 1027–1033.e3. 14 indexed citations
13.
Su, Chang, Kevin A. Nguyen, Harrison X. Bai, et al.. (2018). Ethnic disparity in primary cutaneous CD30+ T‐cell lymphoproliferative disorders: an analysis of 1496 cases from the US National Cancer Database. British Journal of Haematology. 181(6). 752–759. 4 indexed citations
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Tang, Rui, Chang Su, Harrison X. Bai, et al.. (2018). Association of insurance status with survival in patients with cutaneous T-cell lymphoma. Leukemia & lymphoma. 60(5). 1253–1260. 4 indexed citations
16.
Su, Chang, Ena Agbodza, Harrison X. Bai, et al.. (2018). Publication trend, resource utilization, and impact of the US National Cancer Database. Medicine. 97(9). e9823–e9823. 39 indexed citations
17.
Wang, Fangfang, et al.. (2018). Ultrasound with Microbubble Contrast Agent and Urokinase for Thrombosis. Ultrasound in Medicine & Biology. 45(3). 859–866. 7 indexed citations
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Zhou, Hao, Martin Vallières, Harrison X. Bai, et al.. (2016). MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro-Oncology. 19(6). 862–870. 269 indexed citations breakdown →
20.
Su, Chang, et al.. (2016). Application of Acoustic Radiation Force Impulse Imaging for Diagnosis of Female Bladder Neck Obstruction. Journal of Ultrasound in Medicine. 35(6). 1233–1239. 6 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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