Yuting Lu
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer-related Molecular Pathways
-
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Plant Toxicity and Pharmacological Properties 5
- Oncology 15
- CAR-T cell therapy research 5
- Cancer Treatment and Pharmacology 4
- Co-authors
- E. Elizabeth Patton (6 shared papers)Zhi‐Shu Huang (5 shared papers)Ying Jie Sun (5 shared papers)Nian‐Guang Li (5 shared papers)Yue Zhong (4 shared papers)Xin Xie (2 shared papers)Xinxiu Xu (1 shared paper)Zhi‐Hao Shi (4 shared papers)
- Journals
- Cell Reports (3 papers)International Journal of Biological Macromolecules (3 papers)Ecotoxicology and Environmental Safety (3 papers)European Journal of Medicinal Chemistry (3 papers)Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuting Lu
108 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 131
- Oncology 283
- Molecular Biology 633
- Cancer Research 115
- Pharmacology 68
- Pharmacology 101
Countries citing papers authored by Yuting Lu
This map shows the geographic impact of Yuting Lu'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 Yuting Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Lu more than expected).
Fields of papers citing papers by Yuting Lu
This network shows the impact of papers produced by Yuting Lu. 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 Yuting Lu. The network helps show where Yuting Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Lu, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2017 | 67 | |
| 3 | Restoration of the transcription activation function to mutant p53 in human cancer cells. | 1996 | 63 |
| 4 | 2017 | 58 | |
| 5 | 2023 | 54 | |
| 6 | 2018 | 53 | |
| 7 | 2022 | 53 | |
| 8 | 2017 | 46 | |
| 9 | 2017 | 42 | |
| 10 | 2017 | 42 | |
| 11 | 2016 | 41 | |
| 12 | 2022 | 41 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 37 | |
| 15 | 2020 | 33 | |
| 16 | 2020 | 32 | |
| 17 | 2017 | 31 | |
| 18 | 2024 | 29 | |
| 19 | 2023 | 28 | |
| 20 | 2016 | 27 |
About Yuting Lu
Yuting Lu is a scholar working on Molecular Biology, Oncology, Plant Science, Immunology and Epidemiology, having authored 116 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), CAR-T cell therapy research (5 papers), Plant Toxicity and Pharmacological Properties (5 papers), Nanoplatforms for cancer theranostics (5 papers), Cancer Treatment and Pharmacology (4 papers), Pancreatic function and diabetes (4 papers), Immune Cell Function and Interaction (4 papers) and Plant nutrient uptake and metabolism (4 papers). The work is most often cited by research in Oncology (283 citations), Molecular Biology (633 citations), Cancer Research (115 citations), Pharmacology (68 citations) and Pharmacology (101 citations). Yuting Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include E. Elizabeth Patton, Zhi‐Shu Huang, Ying Jie Sun, Nian‐Guang Li, Yue Zhong, Xin Xie, Xinxiu Xu, Zhi‐Hao Shi, Jiaying Zhu and Jinwu Yan. Their work appears in journals such as Cell Reports, International Journal of Biological Macromolecules, Ecotoxicology and Environmental Safety, European Journal of Medicinal Chemistry and Remote Sensing.
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.