Shenghong Ju
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 2%
- Molecular Biology top 10%
- Biomaterials top 2%
- Pulmonary and Respiratory Medicine top 5%
- Topics
- Nanoplatforms for cancer theranostics (29 papers)Advanced MRI Techniques and Applications (25 papers)Advanced Neuroimaging Techniques and Applications (23 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAdvanced Materials
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Shenghong Ju
177 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 1.1k
- Biomedical Engineering 1.0k
- Molecular Biology 846
- Biomaterials 512
- Pulmonary and Respiratory Medicine 503
Countries citing papers authored by Shenghong Ju
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
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 of co-authors of Shenghong Ju
This figure shows the co-authorship network connecting the top 25 collaborators of Shenghong Ju. A scholar is included among the top collaborators of Shenghong Ju 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 Shenghong Ju. Shenghong Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 45 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 32 | |
| 18 | Validity of the GOLD 2017 classification in the prediction of mortality and respiratory hospitalization in patients with chronic obstructive pulmonary disease | 0 |
| 19 | 18 | |
| 20 | 7 |
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) and Advanced Neuroimaging Techniques and Applications (23 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.