Xiaoxiang Yan
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Immunology top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Motoaki SanoKeiichi FukudaKen ShinmuraWeifeng ShenYoshinori KatsumataJin EndoAtsushi AnzaiTomohiro Matsuhashi
- Topics
- Cardiac Fibrosis and Remodeling (13 papers)Cardiovascular Function and Risk Factors (7 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)
- Journals
- CirculationJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiaoxiang Yan
63 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.0k
- Cardiology and Cardiovascular Medicine 886
- Immunology 613
- Surgery 396
- Epidemiology 323
Countries citing papers authored by Xiaoxiang Yan
This map shows the geographic impact of Xiaoxiang Yan'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 Xiaoxiang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxiang Yan more than expected).
Fields of papers citing papers by Xiaoxiang Yan
This network shows the impact of papers produced by Xiaoxiang Yan. 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 Xiaoxiang Yan. The network helps show where Xiaoxiang Yan may publish in the future.
Co-authorship network of co-authors of Xiaoxiang Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxiang Yan. A scholar is included among the top collaborators of Xiaoxiang Yan 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 Xiaoxiang Yan. Xiaoxiang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Orphan Nuclear Receptor NR4A3 Promotes Vascular Calcification via Histone Lactylationbreakdown → | 55 |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 43 | |
| 10 | 5 | |
| 11 | 30 | |
| 12 | 20 | |
| 13 | 30 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 21 | |
| 17 | 32 | |
| 18 | ターゲッティングプログラム死1+脂肪T細胞による,加齢および食事誘発肥満マウスにおける脂肪炎症およびインスリン抵抗性の改善 | 0 |
| 19 | Temporal dynamics of cardiac immune cell accumulation following acute myocardial infarctionbreakdown → | 484 |
| 20 | 63 |
About Xiaoxiang Yan
Xiaoxiang Yan is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Nephrology, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (13 papers), Cardiovascular Function and Risk Factors (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (886 citations), Immunology (613 citations) and Aging (30 citations). Xiaoxiang Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Motoaki Sano, Keiichi Fukuda, Ken Shinmura, Weifeng Shen, Yoshinori Katsumata, Jin Endo, Atsushi Anzai, Tomohiro Matsuhashi, Kentaro Ito and Tsunehisa Yamamoto. Their work appears in journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.