Ting Lü
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- Peroxisome Proliferator-Activated Receptors
- Cancer-related gene regulation
Papers in
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- RNA Research and Splicing 5
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Liang Sun (6 shared papers)Xinguo Zhu (5 shared papers)Zhiyi Wang (1 shared paper)Zhilong He (1 shared paper)Mitsuhiro Okamoto (2 shared papers)Hiroshi Takemori (2 shared papers)Urbain Tchoua (2 shared papers)Yu Zhang (1 shared paper)
In The Last Decade
Ting Lü
38 papers receiving 559 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 138
- Molecular Biology 314
- Cell Biology 55
- Applied Microbiology and Biotechnology 6
- Biochemistry 23
Countries citing papers authored by Ting Lü
This map shows the geographic impact of Ting Lü'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 Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Lü more than expected).
Fields of papers citing papers by Ting Lü
This network shows the impact of papers produced by Ting Lü. 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 Lü. The network helps show where Ting Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Lü, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2018 | 49 | |
| 3 | 1998 | 47 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 32 | |
| 6 | 2010 | 32 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2014 | 21 | |
| 10 | 2023 | 19 | |
| 11 | ERα36 is an effective target of epigallocatechin-3-gallate in hepatocellular carcinoma. | 2019 | 19 |
| 12 | 2001 | 19 | |
| 13 | 2016 | 18 | |
| 14 | 2019 | 15 | |
| 15 | 2013 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2013 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2023 | 9 |
About Ting Lü
Ting Lü is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Genetics and Pathology and Forensic Medicine, having authored 41 papers that have together received 565 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Biomedical Research and Pathophysiology (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Cancer Research (138 citations), Molecular Biology (314 citations), Cell Biology (55 citations), Applied Microbiology and Biotechnology (6 citations) and Biochemistry (23 citations). Ting Lü has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Liang Sun, Xinguo Zhu, Zhiyi Wang, Zhilong He, Mitsuhiro Okamoto, Hiroshi Takemori, Urbain Tchoua, Yu Zhang, Hiromasa Tojo and Bisong Yue. Their work appears in journals such as Journal of Chromatography A, Biochemical and Biophysical Research Communications, Journal of Parenteral and Enteral Nutrition, Journal of Biological Chemistry and Cell Death Discovery.
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.