Yan Tu
Impact in
-
- Bone health and osteoporosis research
- Nephrology top 10%
Papers in
- Surgery 10
- Lipoproteins and Cardiovascular Health 3
- Cholesterol and Lipid Metabolism 2
-
- Dialysis and Renal Disease Management 3
- Acute Kidney Injury Research 3
- Co-authors
- Ichiro Owan (1 shared paper)Charles H. Turner (1 shared paper)Randall L. Duncan (1 shared paper)J.E. Onyia (1 shared paper)David B. Burr (1 shared paper)Jun Qiu (1 shared paper)Bi‐Cheng Liu (10 shared papers)Zuo‐Lin Li (5 shared papers)
- Journals
- Renal Failure (2 papers)Food Research International (1 paper)Coronary Artery Disease (1 paper)BioMed Research International (1 paper)Journal of Nephrology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yan Tu
34 papers receiving 710 citations
Peers
Comparison fields: 5 of 92
- Orthopedics and Sports Medicine 114
- Nephrology 53
- Cell Biology 115
- Hematology 55
- Complementary and alternative medicine 33
Countries citing papers authored by Yan Tu
This map shows the geographic impact of Yan Tu'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 Yan Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tu more than expected).
Fields of papers citing papers by Yan Tu
This network shows the impact of papers produced by Yan Tu. 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 Yan Tu. The network helps show where Yan Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Tu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 339 | |
| 2 | 2021 | 64 | |
| 3 | 2020 | 57 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 22 | |
| 6 | 2021 | 17 | |
| 7 | 2012 | 17 | |
| 8 | 2011 | 16 | |
| 9 | 2019 | 14 | |
| 10 | [Values of C-reactive protein, percentage of neutrophils and mean platelet volume in early diagnosis of neonatal sepsis]. | 2015 | 13 |
| 11 | 2017 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 5 |
About Yan Tu
Yan Tu is a scholar working on Surgery, Nephrology, Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 721 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (3 papers), Dialysis and Renal Disease Management (3 papers), Acute Kidney Injury Research (3 papers), Traditional Chinese Medicine Analysis (3 papers), Acute Myocardial Infarction Research (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (114 citations), Nephrology (53 citations), Cell Biology (115 citations), Hematology (55 citations) and Complementary and alternative medicine (33 citations). Yan Tu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ichiro Owan, Charles H. Turner, Randall L. Duncan, J.E. Onyia, David B. Burr, Jun Qiu, Bi‐Cheng Liu, Zuo‐Lin Li, Qingchun Zeng and Ri‐Ning Tang. Their work appears in journals such as Renal Failure, Food Research International, Coronary Artery Disease, BioMed Research International and Journal of Nephrology.
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.