Dianxin Liu
- Molecular Biology top 5%
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Surgery top 10%
- Co-authors
- Sheila CollinsChaoying ZhangMarica BordicchiaRiccardo SarzaniGérard AilhaudJingbo PiPaolo Dessı̀-FulgheriEz‐Zoubir Amri
- Topics
- Adipose Tissue and Metabolism (17 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)Estrogen and related hormone effects (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dianxin Liu
55 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.6k
- Physiology 1.3k
- Cardiology and Cardiovascular Medicine 733
- Epidemiology 675
- Surgery 500
Countries citing papers authored by Dianxin Liu
This map shows the geographic impact of Dianxin 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 Dianxin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianxin Liu more than expected).
Fields of papers citing papers by Dianxin Liu
This network shows the impact of papers produced by Dianxin 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 Dianxin Liu. The network helps show where Dianxin Liu may publish in the future.
Co-authorship network of co-authors of Dianxin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dianxin Liu. A scholar is included among the top collaborators of Dianxin 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 Dianxin Liu. Dianxin 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 | 1 | |
| 2 | 8 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 29 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 40 | |
| 9 | 33 | |
| 10 | 82 | |
| 11 | 60 | |
| 12 | 56 | |
| 13 | Cardiac natriuretic peptides act via p38 MAPK to induce the brown fat thermogenic program in mouse and human adipocytesbreakdown → | 686 |
| 14 | 252 | |
| 15 | 20 | |
| 16 | 9 | |
| 17 | 180 | |
| 18 | 88 | |
| 19 | 16 | |
| 20 | 89 |
About Dianxin Liu
Dianxin Liu is a scholar working on Physiology, Geriatrics and Gerontology and Molecular Biology, having authored 55 papers that have together received 3.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Physiology (1.3k citations), Cardiology and Cardiovascular Medicine (733 citations) and Endocrine and Autonomic Systems (201 citations). Dianxin Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Sheila Collins, Chaoying Zhang, Marica Bordicchia, Riccardo Sarzani, Gérard Ailhaud, Jingbo Pi, Paolo Dessı̀-Fulgheri, Ez‐Zoubir Amri, Nobuyuki Takahashi and Peng Xue. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.