Dongfang Liu
- Molecular Biology top 5%
- Cell Biology top 5%
- Physiology top 5%
- Cancer Research top 5%
- Epidemiology top 10%
- Co-authors
- Gangyi YangRam SasisekharanZachary ShriverGanesh VenkataramanLing LiMengliu YangYiwei QiHua Liu
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (13 papers)Ovarian function and disorders (10 papers)Adipose Tissue and Metabolism (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dongfang Liu
111 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.3k
- Cell Biology 429
- Physiology 393
- Cancer Research 378
- Epidemiology 353
Countries citing papers authored by Dongfang Liu
This map shows the geographic impact of Dongfang 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 Dongfang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongfang Liu more than expected).
Fields of papers citing papers by Dongfang Liu
This network shows the impact of papers produced by Dongfang 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 Dongfang Liu. The network helps show where Dongfang Liu may publish in the future.
Co-authorship network of co-authors of Dongfang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dongfang Liu. A scholar is included among the top collaborators of Dongfang Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongfang Liu. Dongfang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 87 | |
| 16 | 1 | |
| 17 | 61 | |
| 18 | The Efficacy of Huxin Capsule in the Treatment of Chronic Heart Failure of the Aged | 1 |
| 19 | 333 | |
| 20 | Preclinical identification of AZD7762, a novel, potent and selective inhibitor of Checkpoint kinases | 3 |
About Dongfang Liu
Dongfang Liu is a scholar working on Reproductive Medicine, Cell Biology and Research and Theory, having authored 118 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Ovarian function and disorders (10 papers) and Adipose Tissue and Metabolism (10 papers). The work is most often cited by research in Cell Biology (429 citations), Cancer Research (378 citations) and Molecular Biology (1.3k citations). Dongfang Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gangyi Yang, Ram Sasisekharan, Zachary Shriver, Ganesh Venkataraman, Ling Li, Mengliu Yang, Yiwei Qi, Hua Liu, Zipeng Lu and Yuan He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.