Liming Tan
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 4
- Inflammasome and immune disorders 4
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- Ferroptosis and cancer prognosis 4
- Lung Cancer Treatments and Mutations 4
- Co-authors
- Jinxin Liu (2 shared papers)Kendall C. Griffith (2 shared papers)Myung Suk Choi (2 shared papers)Hainan Zhang (8 shared papers)Sarah Fogoros (1 shared paper)Gabrielle Gossner (1 shared paper)Zhaoqian Liu (7 shared papers)Heather Wahl (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Oncotarget (2 papers)Advanced Functional Materials (2 papers)Gynecologic Oncology (2 papers)Journal of Clinical Laboratory Analysis (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Liming Tan
60 papers receiving 947 citations
Peers
Comparison fields: 5 of 128
- Molecular Medicine 68
- Cancer Research 135
- Neurology 134
- Transplantation 22
- Neurology 60
Countries citing papers authored by Liming Tan
This map shows the geographic impact of Liming Tan'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 Liming Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liming Tan more than expected).
Fields of papers citing papers by Liming Tan
This network shows the impact of papers produced by Liming Tan. 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 Liming Tan. The network helps show where Liming Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Liming Tan, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 142 | |
| 2 | 2006 | 91 | |
| 3 | 2020 | 61 | |
| 4 | 2020 | 38 | |
| 5 | 2016 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2011 | 27 | |
| 11 | 2018 | 27 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 26 | |
| 14 | 2017 | 24 | |
| 15 | 2016 | 23 | |
| 16 | 2016 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 2012 | 16 |
About Liming Tan
Liming Tan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Biomedical Engineering, having authored 66 papers that have together received 962 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (4 papers), Inflammasome and immune disorders (4 papers), Lung Cancer Treatments and Mutations (4 papers), Muscle activation and electromyography studies (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Lung Cancer Research Studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Molecular Medicine (68 citations), Cancer Research (135 citations), Neurology (134 citations), Transplantation (22 citations) and Neurology (60 citations). Liming Tan has collaborated with scholars based in China, United States and France. Frequent co-authors include Jinxin Liu, Kendall C. Griffith, Myung Suk Choi, Hainan Zhang, Sarah Fogoros, Gabrielle Gossner, Zhaoqian Liu, Heather Wahl, Chunyu Wang and Ji‐Ye Yin. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncotarget, Advanced Functional Materials, Gynecologic Oncology and Journal of Clinical Laboratory Analysis.
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.