Ling Ge
Impact in
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- Hippo pathway signaling and YAP/TAZ
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 5
- Gut microbiota and health 3
- Muscle Physiology and Disorders 3
- RNA modifications and cancer 3
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- Hippo pathway signaling and YAP/TAZ 5
- Co-authors
- Xiukai Cao (10 shared papers)Mengzhi Wang (6 shared papers)Juan J. Loor (5 shared papers)Jinhui Li (3 shared papers)Weibo Zhang (6 shared papers)Wei Sun (3 shared papers)Lianxin Hu (2 shared papers)Lei Zhang (3 shared papers)
- Journals
- Animals (2 papers)Genes (2 papers)Journal of Biological Chemistry (2 papers)Journal of Pineal Research (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ling Ge
33 papers receiving 537 citations
Peers
Comparison fields: 5 of 94
- Cell Biology 92
- Cancer Research 74
- Hematology 43
- Molecular Biology 235
- Endocrine and Autonomic Systems 18
Countries citing papers authored by Ling Ge
This map shows the geographic impact of Ling Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ge more than expected).
Fields of papers citing papers by Ling Ge
This network shows the impact of papers produced by Ling Ge. 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 Ge. The network helps show where Ling Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 52 | |
| 2 | 2014 | 50 | |
| 3 | 2016 | 44 | |
| 4 | 2018 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2013 | 27 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2023 | 25 | |
| 10 | 2007 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2015 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2022 | 11 |
About Ling Ge
Ling Ge is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Neurology and Endocrine and Autonomic Systems, having authored 34 papers that have together received 541 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Gut microbiota and health (3 papers), Muscle Physiology and Disorders (3 papers), Dietary Effects on Health (3 papers), Circadian rhythm and melatonin (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cell Biology (92 citations), Cancer Research (74 citations), Hematology (43 citations), Molecular Biology (235 citations) and Endocrine and Autonomic Systems (18 citations). Ling Ge has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiukai Cao, Mengzhi Wang, Juan J. Loor, Jinhui Li, Weibo Zhang, Wei Sun, Lianxin Hu, Lei Zhang, Shanhe Wang and Yun Zhao. Their work appears in journals such as Animals, Genes, Journal of Biological Chemistry, Journal of Pineal Research and PeerJ.
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.