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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- Cancer-related molecular mechanisms research 7
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- PI3K/AKT/mTOR signaling in cancer 10
- Epigenetics and DNA Methylation 7
- Protein Kinase Regulation and GTPase Signaling 7
- Circular RNAs in diseases 5
- RNA modifications and cancer 5
- Co-authors
- Yongchang Chen (19 shared papers)Hai Qian (17 shared papers)Min Wu (11 shared papers)Ping Chen (3 shared papers)Jian Li (3 shared papers)Aibin Tao (5 shared papers)Yan Wu (11 shared papers)Qian Li (8 shared papers)
- Journals
- Cell Death and Disease (4 papers)Cell Biology International (3 papers)Scientific Reports (2 papers)OncoTargets and Therapy (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaGhanaUnited States
In The Last Decade
Ting Lan
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 255
- Molecular Biology 632
- Neurology 56
- Molecular Medicine 33
- Pulmonary and Respiratory Medicine 211
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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2022 | 62 | |
| 3 | 2019 | 59 | |
| 4 | 2022 | 55 | |
| 5 | 2015 | 50 | |
| 6 | 2022 | 48 | |
| 7 | 2016 | 43 | |
| 8 | 2013 | 35 | |
| 9 | 2019 | 31 | |
| 10 | 2023 | 31 | |
| 11 | 2016 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2021 | 24 | |
| 14 | 2023 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2018 | 23 | |
| 17 | 2012 | 22 | |
| 18 | 2015 | 22 | |
| 19 | 2019 | 18 | |
| 20 | 2013 | 18 |
About Ting Lan
Ting Lan is a scholar working on Cancer Research, Molecular Biology, Oncology, Developmental Neuroscience and Filtration and Separation, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Ferroptosis and cancer prognosis (8 papers), Epigenetics and DNA Methylation (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer-related molecular mechanisms research (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Circular RNAs in diseases (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (255 citations), Molecular Biology (632 citations), Neurology (56 citations), Molecular Medicine (33 citations) and Pulmonary and Respiratory Medicine (211 citations). Ting Lan has collaborated with scholars based in China, Ghana and United States. Frequent co-authors include Yongchang Chen, Hai Qian, Min Wu, Ping Chen, Jian Li, Aibin Tao, Yan Wu, Qian Li, Bing Gu and Yueying Li. Their work appears in journals such as Cell Death and Disease, Cell Biology International, Scientific Reports, OncoTargets and Therapy and Oncotarget.
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.