Ying Liang
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- Tendon Structure and Treatment 13
- Surgery top 5%
- Orthopedic Surgery and Rehabilitation 8
- Shoulder Injury and Treatment 7
- Knee injuries and reconstruction techniques 6
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 9
- Epidemiology top 10%
- Rehabilitation top 10%
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- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 5
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- Pain Mechanisms and Treatments 6
- Co-authors
- Scott A. RodeoSumito KawamuraAsheesh BediAlice J. S. FoxRussell F. WarrenXiang‐Hua DengXiang-Hua DengChristian Dynybil
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ying Liang
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 152
- Orthopedics and Sports Medicine 644
- Surgery 889
- Cancer Research 168
- Epidemiology 254
- Rehabilitation 48
Countries citing papers authored by Ying Liang
This map shows the geographic impact of Ying Liang'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 Ying Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Liang more than expected).
Fields of papers citing papers by Ying Liang
This network shows the impact of papers produced by Ying Liang. 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 Ying Liang. The network helps show where Ying Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Liang, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 16 | |
| 8 | A meta-analysis of the efficacy and safety of PD-1/PD-L1 immune checkpoint inhibitors as treatments for metastatic bladder cancer | 2019 | 1 |
| 9 | Blind Signal Detection Using Complex Transiently Chaotic Hopfield Neural Network. | 2018 | 2 |
| 10 | 2018 | 75 | |
| 11 | 2014 | 25 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 28 | |
| 14 | 2012 | 33 | |
| 15 | 2011 | 128 | |
| 16 | 2011 | 39 | |
| 17 | 2010 | 145 | |
| 18 | Brain Radiotherapy Combined with Sequential Chemotherapy in Non-Small-Cell Lung Cancer Patients with Brain Metastases | 2009 | 1 |
| 19 | 2008 | 135 | |
| 20 | 2004 | 21 |
About Ying Liang
Ying Liang is a scholar working on Orthopedics and Sports Medicine, Cancer Research and Ophthalmology, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tendon Structure and Treatment (13 papers), Cancer-related molecular mechanisms research (9 papers), Orthopedic Surgery and Rehabilitation (8 papers), Shoulder Injury and Treatment (7 papers), Machine Learning in Bioinformatics (6 papers), Knee injuries and reconstruction techniques (6 papers), Pain Mechanisms and Treatments (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (644 citations), Surgery (889 citations) and Cancer Research (168 citations). Ying Liang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Scott A. Rodeo, Sumito Kawamura, Asheesh Bedi, Alice J. S. Fox, Russell F. Warren, Xiang‐Hua Deng, Xiang-Hua Deng, Christian Dynybil, David Kovacevic and Lingbo Qu. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.