Lujin Wu
Impact in
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology
-
- Cardiovascular Function and Risk Factors
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
-
- Cardiovascular Function and Risk Factors 3
- Cardiac electrophysiology and arrhythmias 1
- Cardiovascular Effects of Exercise 1
- Co-authors
- Dao Wen Wang (14 shared papers)Wen Zheng (5 shared papers)Lingli Dong (2 shared papers)Jing Chen (1 shared paper)Ingrid Fleming (1 shared paper)Bei Wang (1 shared paper)Jiong Hu (1 shared paper)Chen Chen (4 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Frontiers in Cardiovascular Medicine (2 papers)Journal of Cellular Physiology (2 papers)Signal Transduction and Targeted Therapy (1 paper)Circulation Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lujin Wu
16 papers receiving 1.6k citations
Lujin Wu's Hit Papers
Peers
Comparison fields: 5 of 115
- Biochemistry 263
- Cardiology and Cardiovascular Medicine 211
- Endocrinology, Diabetes and Metabolism 145
- Pharmacology 77
- Pharmacology 138
Countries citing papers authored by Lujin Wu
This map shows the geographic impact of Lujin Wu'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 Lujin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lujin Wu more than expected).
Fields of papers citing papers by Lujin Wu
This network shows the impact of papers produced by Lujin Wu. 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 Lujin Wu. The network helps show where Lujin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lujin Wu, 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 | Metabolism pathways of arachidonic acids: mechanisms and potential therapeutic targets Hit paper breakdown → | 2021 | 913 |
| 2 | 2017 | 266 | |
| 3 | 2018 | 85 | |
| 4 | 2015 | 76 | |
| 5 | 2018 | 52 | |
| 6 | 2017 | 37 | |
| 7 | 2017 | 30 | |
| 8 | 2021 | 27 | |
| 9 | 2017 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 4 | |
| 17 | 2023 | 0 |
About Lujin Wu
Lujin Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry, Pharmacology and Nutrition and Dietetics, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cardiovascular Function and Risk Factors (3 papers), Fatty Acid Research and Health (2 papers), Apelin-related biomedical research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cardiovascular Effects of Exercise (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Biochemistry (263 citations), Cardiology and Cardiovascular Medicine (211 citations), Endocrinology, Diabetes and Metabolism (145 citations), Pharmacology (77 citations) and Pharmacology (138 citations). Lujin Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dao Wen Wang, Wen Zheng, Lingli Dong, Jing Chen, Ingrid Fleming, Bei Wang, Jiong Hu, Chen Chen, Jiali Nie and Bei Wang. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Cardiovascular Medicine, Journal of Cellular Physiology, Signal Transduction and Targeted Therapy and Circulation Research.
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.