Ling Tu
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 17
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- Hormonal Regulation and Hypertension 9
- Diet, Metabolism, and Disease 7
- Pharmacology top 10%
- Pathology and Forensic Medicine top 10%
- Alcohol Consumption and Health Effects 5
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- Adipose Tissue and Metabolism 3
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 4
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- Liver Disease Diagnosis and Treatment 3
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- HIV/AIDS Research and Interventions 3
- Journals
- Cellular Physiology and Biochemistry (3 papers)Human Gene Therapy (2 papers)International Journal of Nursing Studies (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Tu
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Biochemistry 368
- Endocrinology, Diabetes and Metabolism 275
- Pharmacology 77
- Pathology and Forensic Medicine 133
- Physiology 168
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 17 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 60 | |
| 13 | 2020 | 7 | |
| 14 | 2017 | 10 | |
| 15 | 2016 | 64 | |
| 16 | 2015 | 0 | |
| 17 | 2015 | 40 | |
| 18 | 2013 | 11 | |
| 19 | 2012 | 57 | |
| 20 | 2005 | 3 |
About Ling Tu
Ling Tu is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Leadership and Management, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 59 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), Diet, Metabolism, and Disease (7 papers), Alcohol Consumption and Health Effects (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Adipose Tissue and Metabolism (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Biochemistry (368 citations), Endocrinology, Diabetes and Metabolism (275 citations), Pharmacology (77 citations), Pathology and Forensic Medicine (133 citations) and Physiology (168 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, Human Gene Therapy, International Journal of Nursing Studies, Clinical Cardiology and Prostaglandins & Other Lipid Mediators.
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.