Dian Liu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Inflammasome and immune disorders
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- RNA modifications and cancer 4
- Inflammasome and immune disorders 3
- Metabolism, Diabetes, and Cancer 2
- Fibroblast Growth Factor Research 2
- Angiogenesis and VEGF in Cancer 2
- Oncology 9
- Cancer-related Molecular Pathways 3
- Co-authors
- Jinyu Pan (9 shared papers)Fengshuang An (8 shared papers)Jingjing Tian (8 shared papers)Yihua Wang (12 shared papers)Hong Qiu (5 shared papers)Piao Li (3 shared papers)Mingjun Zhang (3 shared papers)Tao Jin (3 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (4 papers)Cell Death and Disease (4 papers)Cancer Biology & Therapy (2 papers)Biochemical and Biophysical Research Communications (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dian Liu
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 264
- Molecular Biology 770
- Immunology 186
- Nephrology 56
- Oncology 187
Countries citing papers authored by Dian Liu
This map shows the geographic impact of Dian Liu'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 Dian Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Liu more than expected).
Fields of papers citing papers by Dian Liu
This network shows the impact of papers produced by Dian Liu. 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 Dian Liu. The network helps show where Dian Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dian Liu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 160 | |
| 2 | 2019 | 129 | |
| 3 | 2019 | 128 | |
| 4 | 2019 | 111 | |
| 5 | 2017 | 111 | |
| 6 | 2018 | 98 | |
| 7 | 2019 | 82 | |
| 8 | 2019 | 80 | |
| 9 | 2018 | 76 | |
| 10 | 2014 | 62 | |
| 11 | 2021 | 60 | |
| 12 | 2017 | 34 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2018 | 32 | |
| 16 | 2019 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 2020 | 28 | |
| 19 | 2016 | 28 | |
| 20 | 2015 | 27 |
About Dian Liu
Dian Liu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Inflammasome and immune disorders (3 papers), Gastric Cancer Management and Outcomes (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related Molecular Pathways (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Fibroblast Growth Factor Research (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (264 citations), Molecular Biology (770 citations), Immunology (186 citations), Nephrology (56 citations) and Oncology (187 citations). Dian Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinyu Pan, Fengshuang An, Jingjing Tian, Yihua Wang, Hong Qiu, Piao Li, Mingjun Zhang, Tao Jin, Xuyang Wang and Mingjun Zhang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Cell Death and Disease, Cancer Biology & Therapy, Biochemical and Biophysical Research Communications and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.