Ling Tu
Impact in
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
- Biochemistry 15
- Eicosanoids and Hypertension Pharmacology 15
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- Cardiac Fibrosis and Remodeling 4
- Co-authors
- Xizhen Xu (31 shared papers)Dao Wen Wang (20 shared papers)Ruolan Dong (19 shared papers)Menglu Fu (15 shared papers)Jinlan Luo (15 shared papers)Gang Zhao (8 shared papers)Darryl C. Zeldin (4 shared papers)Zhihui Chen (9 shared papers)
- Journals
- Cellular Physiology and Biochemistry (3 papers)Prostaglandins & Other Lipid Mediators (2 papers)Journal of Lipid Research (2 papers)Clinical Cardiology (2 papers)Human Gene Therapy (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Tu
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Biochemistry 295
- Nephrology 62
- Cardiology and Cardiovascular Medicine 112
- Genetics 40
- Geriatrics and Gerontology 16
Countries citing papers authored by Ling Tu
This map shows the geographic impact of Ling 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 Ling Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Tu more than expected).
Fields of papers citing papers by Ling Tu
This network shows the impact of papers produced by Ling 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 Ling Tu. The network helps show where Ling Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 97 | |
| 2 | 2022 | 80 | |
| 3 | 2020 | 73 | |
| 4 | 2016 | 65 | |
| 5 | 2020 | 64 | |
| 6 | 2012 | 58 | |
| 7 | 2012 | 57 | |
| 8 | 2013 | 56 | |
| 9 | 2013 | 40 | |
| 10 | 2015 | 40 | |
| 11 | 2015 | 39 | |
| 12 | 2013 | 35 | |
| 13 | 2014 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2010 | 28 | |
| 16 | 2013 | 28 | |
| 17 | 2008 | 27 | |
| 18 | 2011 | 22 | |
| 19 | 2017 | 21 | |
| 20 | 2020 | 21 |
About Ling Tu
Ling Tu is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (15 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diabetes Treatment and Management (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Mitochondrial Function and Pathology (3 papers), Genetic Associations and Epidemiology (3 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Biochemistry (295 citations), Nephrology (62 citations), Cardiology and Cardiovascular Medicine (112 citations), Genetics (40 citations) and Geriatrics and Gerontology (16 citations). Ling Tu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xizhen Xu, Dao Wen Wang, Ruolan Dong, Menglu Fu, Jinlan Luo, Gang Zhao, Darryl C. Zeldin, Zhihui Chen, Wenjing Feng and Shuiqing Hu. Their work appears in journals such as Cellular Physiology and Biochemistry, Prostaglandins & Other Lipid Mediators, Journal of Lipid Research, Clinical Cardiology and Human Gene Therapy.
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.