Ling Gao
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
- Clinical Biochemistry top 5%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
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- RNA modifications and cancer 7
- Glycosylation and Glycoproteins Research 7
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- Transplantation: Methods and Outcomes 5
- Organ Transplantation Techniques and Outcomes 4
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- Mechanical Circulatory Support Devices 4
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- Galectins and Cancer Biology 4
- Co-authors
- Hua CaiKarine LaudeRichard SiowGiovanni E. MannAleksandra VlajnicXing ChenKarel ChalupskýEnrico Stefani
- Journals
- Journal of Biological Chemistry (1 paper)Circulation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Gao
79 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 216
- Cancer Research 160
- Clinical Biochemistry 70
- Neurology 84
- Molecular Biology 640
Countries citing papers authored by Ling Gao
This map shows the geographic impact of Ling Gao'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 Ling Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Gao more than expected).
Fields of papers citing papers by Ling Gao
This network shows the impact of papers produced by Ling Gao. 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 Ling Gao. The network helps show where Ling Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling Gao, 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 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 38 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 67 | |
| 11 | 2019 | 66 | |
| 12 | 2018 | 14 | |
| 13 | 2015 | 24 | |
| 14 | 2015 | 18 | |
| 15 | 2011 | 25 | |
| 16 | 2010 | 97 | |
| 17 | 2009 | 89 | |
| 18 | 2008 | 2 | |
| 19 | 2007 | 25 | |
| 20 | Very Small Embryonic-Like Cells (VSELs) - A New Type of Ocular Stem Cell? | 2007 | 1 |
About Ling Gao
Ling Gao is a scholar working on Complementary and alternative medicine, Neurology and Cancer Research, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Glycosylation and Glycoproteins Research (7 papers), Transplantation: Methods and Outcomes (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Mechanical Circulatory Support Devices (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Cancer-related molecular mechanisms research (4 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (216 citations), Cancer Research (160 citations) and Clinical Biochemistry (70 citations). Ling Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hua Cai, Karine Laude, Richard Siow, Giovanni E. Mann, Aleksandra Vlajnic, Xing Chen, Karel Chalupský, Enrico Stefani, Wei Lin and Julio Rosenstock. Their work appears in journals such as Journal of Biological Chemistry, Circulation 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.