Jun Shao

2.5k total citations · 2 hit papers
70 papers, 1.5k citations indexed

About

Jun Shao is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jun Shao has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Oncology. Recurrent topics in Jun Shao's work include Lung Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Lung Cancer Treatments and Mutations (16 papers). Jun Shao is often cited by papers focused on Lung Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Lung Cancer Treatments and Mutations (16 papers). Jun Shao collaborates with scholars based in China, Hong Kong and Switzerland. Jun Shao's co-authors include Chengdi Wang, Weimin Li, Yizhou Yu, Dan Liu, Jingwei Li, Ruiqiang Zheng, Jiechao Ma, Jerry Buysse, Sankar D. Navaneethan and David A. Bushinsky and has published in prestigious journals such as Nature Medicine, Environmental Pollution and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Jun Shao

67 papers receiving 1.5k citations

Hit Papers

A transformer-based representation-learning model with un... 2023 2026 2024 2025 2023 2023 50 100 150
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. A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
    2023 168 citations Chengdi Wang, Jun Shao et al. profile →
  2. The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID
    2023 60 citations Jun Shao, Weimin Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Shao China 23 600 430 310 302 205 70 1.5k
Ok Hee Woo South Korea 23 311 0.5× 801 1.9× 303 1.0× 142 0.5× 244 1.2× 106 1.6k
Barbara M. Klinkhammer Germany 25 407 0.7× 237 0.6× 160 0.5× 521 1.7× 93 0.5× 60 2.0k
Belinda E. Clarke Australia 21 481 0.8× 97 0.2× 424 1.4× 476 1.6× 293 1.4× 41 1.6k
Sülen Sarıoğlu Türkiye 24 436 0.7× 194 0.5× 541 1.7× 351 1.2× 202 1.0× 184 2.1k
Jian Lü China 20 395 0.7× 174 0.4× 261 0.8× 278 0.9× 112 0.5× 202 1.7k
Xiang Ma China 22 167 0.3× 155 0.4× 158 0.5× 367 1.2× 175 0.9× 121 1.6k
Chi‐Tung Cheng Taiwan 21 396 0.7× 259 0.6× 208 0.7× 200 0.7× 97 0.5× 124 1.5k
Johannes Lotz Germany 25 136 0.2× 206 0.5× 180 0.6× 269 0.9× 84 0.4× 70 1.6k
Jesper Kers Netherlands 21 270 0.5× 120 0.3× 155 0.5× 354 1.2× 63 0.3× 78 1.5k
Young Jun Chai South Korea 32 311 0.5× 225 0.5× 275 0.9× 248 0.8× 241 1.2× 176 2.8k

Countries citing papers authored by Jun Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shao. A scholar is included among the top collaborators of Jun Shao 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 Jun Shao. Jun Shao 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.
Lin, Song, Xianghui Li, Chuanqing Zhang, et al.. (2025). Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study. Journal of Medical Internet Research. 27. e62932–e62932. 3 indexed citations
3.
Zhang, Jiangjiang, Xingting Liu, Yuzhen Huang, et al.. (2025). The potential of large language models to advance precision oncology. EBioMedicine. 115. 105695–105695. 5 indexed citations
4.
Zhang, Yi, Guangyu Lu, Yang Zhang, et al.. (2025). Risk factors associated with acute kidney injury in patients with traumatic brain injury: A systematic review and meta-analysis. Journal of Critical Care. 89. 155126–155126. 1 indexed citations
5.
Lin, Song, Xianghui Li, Chuanqing Zhang, et al.. (2025). The role of phospholipid transfer protein in sepsis-associated acute kidney injury. Critical Care. 29(1). 33–33. 2 indexed citations
6.
7.
Niu, Hongxia, et al.. (2024). Types of Septic Cardiomyopathy: Prognosis and Influencing Factors - A Clinical Study. Risk Management and Healthcare Policy. Volume 17. 1015–1025. 3 indexed citations
8.
Lin, Song, Jing Yuan, Xianghui Li, et al.. (2024). The influence of gender on the epidemiology of and outcome from sepsis associated acute kidney injury in ICU: a retrospective propensity-matched cohort study. European journal of medical research. 29(1). 56–56. 3 indexed citations
9.
Zhang, Siqi, Xiaohong Liu, Lixin Zhou, et al.. (2023). Intelligent prognosis evaluation system for stage I-III resected non-small-cell lung cancer patients on CT images: a multi-center study. EClinicalMedicine. 65. 102270–102270. 3 indexed citations
10.
Yang, Shengjie, et al.. (2023). Predicting EGFR Mutation Status Using Multi-View Transformer. 538–545. 1 indexed citations
11.
Chen, Duanduan, Mingwei Wu, Jun Shao, et al.. (2022). Functional Evaluation of Embedded Modular Single-Branched Stent Graft: Application to Type B Aortic Dissection With Aberrant Right Subclavian Artery. Frontiers in Cardiovascular Medicine. 9. 869505–869505. 13 indexed citations
12.
Wang, Chengdi, Jun Shao, Junwei Lv, et al.. (2021). Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography. Translational Oncology. 14(8). 101141–101141. 44 indexed citations
13.
Shao, Jun, et al.. (2020). NCAPH is upregulated in endometrial cancer and associated with poor clinicopathologic characteristics. Annals of Human Genetics. 84(6). 437–446. 12 indexed citations
14.
Wang, Chengdi, Yuxuan Wu, Jun Shao, Dan Liu, & Weimin Li. (2020). Clinicopathological variables influencing overall survival, recurrence and post-recurrence survival in resected stage I non-small-cell lung cancer. BMC Cancer. 20(1). 150–150. 61 indexed citations
15.
16.
Jiang, Yuting, Qian Lei, Yangping Wu, et al.. (2019). Potential Diagnostic and Prognostic Biomarkers of Circular RNAs for Lung Cancer in China. BioMed Research International. 2019. 1–17. 13 indexed citations
17.
Shao, Jun, et al.. (2019). DEFB1 rs11362 Polymorphism and Risk of Chronic Periodontitis: A Meta-Analysis of Unadjusted and Adjusted Data. Frontiers in Genetics. 10. 179–179. 10 indexed citations
18.
19.
Wang, Zhiqiang, Peng Sun, Chun Gao, et al.. (2017). Down-regulation of LRP1B in colon cancer promoted the growth and migration of cancer cells. Experimental Cell Research. 357(1). 1–8. 59 indexed citations
20.
Chen, Qihong, Ruiqiang Zheng, Lin Hua, et al.. (2017). Effect of levosimendan on prognosis in adult patients undergoing cardiac surgery: a meta-analysis of randomized controlled trials. Critical Care. 21(1). 253–253. 30 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ok Hee Woo Breakdown of academic impact, for papers by Barbara M. Klinkhammer Breakdown of academic impact, for papers by Belinda E. Clarke Breakdown of academic impact, for papers by Sülen Sarıoğlu Breakdown of academic impact, for papers by Jian Lü Breakdown of academic impact, for papers by Xiang Ma Breakdown of academic impact, for papers by Chi‐Tung Cheng Breakdown of academic impact, for papers by Johannes Lotz Breakdown of academic impact, for papers by Jesper Kers Breakdown of academic impact, for papers by Young Jun Chai
Rankless by CCL
2026