Shenghong Ju

6.1k citations
192 papers · 4.1k indexed · 2 hit papers · h-index 36

Shenghong Ju

177 papers receiving 4.0k citations

Hit Papers

Redox-responsive polymer micelles co-encapsulating immune...4820232026202420254080120

Peers

Shenghong Ju
Comparison fields: 5 of 136
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Neurology 341
  • Biomaterials 512
  • Hepatology 310
  • Biomedical Engineering 1.0k
Replace Gao‐Jun Teng with:
Gao‐Jun Teng China
Johannes Haybaeck Austria
Myung Chul Lee South Korea
Mei Tian China
Bensheng Qiu China
Ronald Borra Netherlands
Jeffrey N. Bruce United States
Jin Ho Kim South Korea
Arnd Dörfler Germany
Yasuhiro Magata Japan
Shenghong Ju relative to Gao‐Jun Teng China Gao‐Jun Teng's profile →
Citations per field
00.5×7.3×
Gao‐Jun Teng · 1×
Citations per year

Countries citing papers authored by Shenghong Ju

Since Specialization
Citations

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

Fields of papers citing papers by Shenghong Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shenghong Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shenghong Ju Line = papers co-authored together Shenghong Ju links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20252
3 20250
4 20252
5 20242
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7 20249
8 202426
9 20242
10 20233
11 202312
12 202345
13 20232
14 202210
15 20226
16 20213
17 202032
18
Validity of the GOLD 2017 classification in the prediction of mortality and respiratory hospitalization in patients with chronic obstructive pulmonary disease
20190
19 201918
20 20087

About Shenghong Ju

Shenghong Ju is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Genetics, having authored 192 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (29 papers), Advanced MRI Techniques and Applications (25 papers), Advanced Neuroimaging Techniques and Applications (23 papers), MRI in cancer diagnosis (22 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Acute Ischemic Stroke Management (17 papers) and Cerebrovascular and Carotid Artery Diseases (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Neurology (341 citations) and Biomaterials (512 citations). Shenghong Ju has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Yuancheng Wang, Gao‐Jun Teng, Ying Cui, Di Chang, Chun‐Qiang Lu, Gao‐Jun Teng, Yun Jiao, Yu‐Chen Chen, Xiaoxuan Xu and Cong Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

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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