Ting Liang
- Hepatology top 10%
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- Cancer, Hypoxia, and Metabolism 8
- Cancer-related molecular mechanisms research 5
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- Radiomics and Machine Learning in Medical Imaging 6
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- Drug Transport and Resistance Mechanisms 5
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- Immune Response and Inflammation 6
- Immunotherapy and Immune Responses 5
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- RNA modifications and cancer 5
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- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Guihua HouFeng GaoWenhong LiTerence K. LeeSheung Tat FanChung Mau LoKwan ManTP Ng
- Journals
- Journal of Cellular and Molecular Medicine (5 papers)International Journal of Molecular Sciences (3 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ting Liang
110 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- Hepatology 115
- Cancer Research 142
- Radiology, Nuclear Medicine and Imaging 150
- Oncology 167
- Neurology 86
Countries citing papers authored by Ting Liang
This map shows the geographic impact of Ting 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 Ting Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Liang more than expected).
Fields of papers citing papers by Ting Liang
This network shows the impact of papers produced by Ting 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 Ting Liang. The network helps show where Ting Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 2 | |
| 10 | FAM46B Promotes Apoptosis and Inhibits Glycolysis of Prostate Cancer Through Inhibition of the MYC-LDHA Axis | 2020 | 1 |
| 11 | 2020 | 9 | |
| 12 | 2020 | 43 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 30 | |
| 15 | 2018 | 15 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2011 | 5 | |
| 19 | 2008 | 9 | |
| 20 | 2004 | 52 |
About Ting Liang
Ting Liang is a scholar working on Chemical Health and Safety, Transplantation and Cancer Research, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Immune Response and Inflammation (6 papers), Drug Transport and Resistance Mechanisms (5 papers), RNA modifications and cancer (5 papers), Immunotherapy and Immune Responses (5 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Hepatology (115 citations), Cancer Research (142 citations) and Radiology, Nuclear Medicine and Imaging (150 citations). Ting Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guihua Hou, Feng Gao, Wenhong Li, Terence K. Lee, Sheung Tat Fan, Chung Mau Lo, Kwan Man, TP Ng, Zhengqing Yuan and Xianting Wu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, International Journal of Molecular Sciences, Frontiers in Plant Science, Drug Metabolism and Disposition and Arabian Journal of Chemistry.
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.