Ling Tu
Impact in
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology
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- Hormonal Regulation and Hypertension
- Diet, Metabolism, and Disease
Papers in
- Biochemistry 17
- Eicosanoids and Hypertension Pharmacology 17
-
- Hormonal Regulation and Hypertension 9
- Diet, Metabolism, and Disease 5
- Co-authors
- Xizhen Xu (32 shared papers)Dao Wen Wang (21 shared papers)Ruolan Dong (19 shared papers)Menglu Fu (15 shared papers)Gang Zhao (8 shared papers)Jinlan Luo (15 shared papers)Yan Yang (11 shared papers)Darryl C. Zeldin (4 shared papers)
- Journals
- Cellular Physiology and Biochemistry (3 papers)Journal of Lipid Research (2 papers)International Journal of Nursing Studies (2 papers)Prostaglandins & Other Lipid Mediators (2 papers)Human Gene Therapy (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Tu
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Biochemistry 361
- Endocrinology, Diabetes and Metabolism 245
- Pharmacology 67
- Pathology and Forensic Medicine 117
- Nephrology 37
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 98 | |
| 2 | 2022 | 73 | |
| 3 | 2020 | 67 | |
| 4 | 2016 | 66 | |
| 5 | 2020 | 60 | |
| 6 | 2012 | 58 | |
| 7 | 2012 | 56 | |
| 8 | 2013 | 55 | |
| 9 | 2015 | 40 | |
| 10 | 2013 | 39 | |
| 11 | 2015 | 38 | |
| 12 | 2013 | 33 | |
| 13 | 2014 | 29 | |
| 14 | 2010 | 29 | |
| 15 | 2013 | 28 | |
| 16 | 2008 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2011 | 22 | |
| 19 | 2017 | 20 | |
| 20 | 2020 | 19 |
About Ling Tu
Ling Tu is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Surgery, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (17 papers), Hormonal Regulation and Hypertension (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Diet, Metabolism, and Disease (5 papers), Alcohol Consumption and Health Effects (5 papers), Adipose Tissue and Metabolism (3 papers), HIV/AIDS Research and Interventions (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Biochemistry (361 citations), Endocrinology, Diabetes and Metabolism (245 citations), Pharmacology (67 citations), Pathology and Forensic Medicine (117 citations) and Nephrology (37 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, Gang Zhao, Jinlan Luo, Yan Yang, Darryl C. Zeldin, Wenjing Feng and Zhihui Chen. Their work appears in journals such as Cellular Physiology and Biochemistry, Journal of Lipid Research, International Journal of Nursing Studies, Prostaglandins & Other Lipid Mediators 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.