Ting Lan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA modifications and cancer
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- PI3K/AKT/mTOR signaling in cancer 9
- Protein Kinase Regulation and GTPase Signaling 7
- Epigenetics and DNA Methylation 6
- DNA Repair Mechanisms 4
- Receptor Mechanisms and Signaling 4
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- Ferroptosis and cancer prognosis 8
- Co-authors
- Yongchang Chen (19 shared papers)Hai Qian (17 shared papers)Min Wu (11 shared papers)Jian Li (3 shared papers)Ping Chen (3 shared papers)Aibin Tao (5 shared papers)Qian Li (8 shared papers)Yan Wu (11 shared papers)
- Journals
- Cell Death and Disease (4 papers)Cell Biology International (3 papers)Molecular Neurobiology (2 papers)PLoS ONE (2 papers)RSC Advances (2 papers)
- Partner nations
- ChinaUnited StatesGhana
In The Last Decade
Ting Lan
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 222
- Molecular Biology 564
- Pulmonary and Respiratory Medicine 198
- Molecular Medicine 32
- Neurology 50
Countries citing papers authored by Ting Lan
This map shows the geographic impact of Ting Lan'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 Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Lan more than expected).
Fields of papers citing papers by Ting Lan
This network shows the impact of papers produced by Ting Lan. 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 Lan. The network helps show where Ting Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Lan, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2022 | 65 | |
| 3 | 2019 | 59 | |
| 4 | 2022 | 58 | |
| 5 | 2022 | 52 | |
| 6 | 2015 | 51 | |
| 7 | 2016 | 43 | |
| 8 | 2023 | 36 | |
| 9 | 2013 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2023 | 27 | |
| 13 | 2018 | 27 | |
| 14 | 2022 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2018 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2012 | 22 | |
| 19 | 2019 | 19 | |
| 20 | 2013 | 18 |
About Ting Lan
Ting Lan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Ferroptosis and cancer prognosis (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer-related molecular mechanisms research (7 papers), Epigenetics and DNA Methylation (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), DNA Repair Mechanisms (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cancer Research (222 citations), Molecular Biology (564 citations), Pulmonary and Respiratory Medicine (198 citations), Molecular Medicine (32 citations) and Neurology (50 citations). Ting Lan has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Yongchang Chen, Hai Qian, Min Wu, Jian Li, Ping Chen, Aibin Tao, Qian Li, Yan Wu, Bing Gu and Fei Yang. Their work appears in journals such as Cell Death and Disease, Cell Biology International, Molecular Neurobiology, PLoS ONE and RSC Advances.
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.