Jun Shao

2.5k citations
70 papers · 1.5k indexed · 2 hit papers · h-index 23
Topics
Lung Cancer Diagnosis and Treatment (22 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)Lung Cancer Treatments and Mutations (16 papers)

In The Last Decade

Jun Shao

67 papers receiving 1.5k citations

Hit Papers

A transformer-based representation-learning model with un...20232026202420252023202350100150

Peers

Jun Shao
Comparison fields: 5 of 127
  • Pulmonary and Respiratory Medicine 600
  • Radiology, Nuclear Medicine and Imaging 430
  • Oncology 310
  • Molecular Biology 302
  • Cancer Research 205
Replace Vipul C. Chitalia with:
Vipul C. Chitalia United States
Aalpen A. Patel United States
Youbin Deng China
Barbara M. Klinkhammer Germany
Jesper Kers Netherlands
Michiel Voskuil Netherlands
Yuancheng Wang China
Yuhao Dong China
Attila Frigyesi Sweden
Lauren Beussink‐Nelson United States
Jun Shao relative to Vipul C. Chitalia United States Vipul C. Chitalia's profile →
Citations per field
00.5×3.5×
Vipul C. Chitalia · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 3
3 5
4 1
5 2
6 1
7 3
8 3
9 3
10 1
11 13
12 44
13 12
14 61
15 13
16 13
17 10
18 0
19 59
20 30

About Jun Shao

Jun Shao is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this 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). The work is most often cited by research in Health Informatics (44 citations), Radiology, Nuclear Medicine and Imaging (430 citations) and Critical Care and Intensive Care Medicine (96 citations). Jun Shao has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent 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. Their work appears in journals such as Nature Medicine, Environmental Pollution and Journal of Pharmacology and Experimental Therapeutics.

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

Rankless by CCL
2026