Yuling Shen
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- Machine Learning in Bioinformatics 1
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 1
- Co-authors
- Hong Tu (6 shared papers)Yu Gan (6 shared papers)Jianren Gu (4 shared papers)Ming Yao (3 shared papers)Yanfang Song (3 shared papers)Yingchao Fan (3 shared papers)Jiannong Cen (1 shared paper)Nan Gao (1 shared paper)
- Journals
- Cancer Research (1 paper)Advanced Healthcare Materials (1 paper)Theranostics (1 paper)Journal of Gastroenterology and Hepatology (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yuling Shen
16 papers receiving 548 citations
Peers
Comparison fields: 5 of 99
- Rehabilitation 56
- Cancer Research 94
- Otorhinolaryngology 24
- Endocrine and Autonomic Systems 29
- Oncology 114
Countries citing papers authored by Yuling Shen
This map shows the geographic impact of Yuling Shen'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 Yuling Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Shen more than expected).
Fields of papers citing papers by Yuling Shen
This network shows the impact of papers produced by Yuling Shen. 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 Yuling Shen. The network helps show where Yuling Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 132 | |
| 2 | 2015 | 92 | |
| 3 | 2017 | 71 | |
| 4 | 2009 | 47 | |
| 5 | 2020 | 43 | |
| 6 | 2019 | 42 | |
| 7 | 2020 | 30 | |
| 8 | 2013 | 28 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2008 | 12 | |
| 13 | 2022 | 7 | |
| 14 | Clinical analysis of Shenqi Fuzheng Injection combined with chemotherapy in patients with advanced gastric cancer | 2013 | 2 |
| 15 | 2020 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 |
About Yuling Shen
Yuling Shen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 555 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Hepatitis B Virus Studies (2 papers), Biomarkers in Disease Mechanisms (2 papers), Machine Learning in Bioinformatics (1 paper), Nanoplatforms for cancer theranostics (1 paper), Neuroscience and Neural Engineering (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Rehabilitation (56 citations), Cancer Research (94 citations), Otorhinolaryngology (24 citations), Endocrine and Autonomic Systems (29 citations) and Oncology (114 citations). Yuling Shen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hong Tu, Yu Gan, Jianren Gu, Ming Yao, Yanfang Song, Yingchao Fan, Jiannong Cen, Nan Gao, Weichang Chen and Zhonghan Wang. Their work appears in journals such as Cancer Research, Advanced Healthcare Materials, Theranostics, Journal of Gastroenterology and Hepatology and International Journal of Biological Sciences.
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.