Zhan Lü
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Ubiquitin and proteasome pathways 1
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- Neonatal Respiratory Health Research 2
- Co-authors
- Yongyan Song (8 shared papers)Manuel Buchwald (3 shared papers)Zhi Luo (4 shared papers)Muhammad Irfan (4 shared papers)Li Zhu (1 shared paper)Yang Yang (1 shared paper)Yi Fang (1 shared paper)Roderick R. McInnes (1 shared paper)
- Journals
- Lipids in Health and Disease (3 papers)Postgraduate Medical Journal (2 papers)iScience (1 paper)Medicine (1 paper)Hepatology International (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Zhan Lü
26 papers receiving 633 citations
Peers
Comparison fields: 5 of 96
- Biological Psychiatry 13
- Endocrinology, Diabetes and Metabolism 60
- Rheumatology 43
- Molecular Biology 203
- Neurology 22
Countries citing papers authored by Zhan Lü
This map shows the geographic impact of Zhan Lü'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 Zhan Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan Lü more than expected).
Fields of papers citing papers by Zhan Lü
This network shows the impact of papers produced by Zhan Lü. 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 Zhan Lü. The network helps show where Zhan Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhan Lü, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 131 | |
| 2 | 1998 | 93 | |
| 3 | 2018 | 71 | |
| 4 | 1997 | 53 | |
| 5 | 2024 | 41 | |
| 6 | 2000 | 33 | |
| 7 | 2015 | 31 | |
| 8 | 2016 | 24 | |
| 9 | 2018 | 19 | |
| 10 | 2012 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2024 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2020 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 1999 | 5 |
About Zhan Lü
Zhan Lü is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Physiology and Epidemiology, having authored 26 papers that have together received 641 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (2 papers), Medicinal Plants and Neuroprotection (2 papers), Biochemical effects in animals (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Neonatal Respiratory Health Research (2 papers), Folate and B Vitamins Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biological Psychiatry (13 citations), Endocrinology, Diabetes and Metabolism (60 citations), Rheumatology (43 citations), Molecular Biology (203 citations) and Neurology (22 citations). Zhan Lü has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yongyan Song, Manuel Buchwald, Zhi Luo, Muhammad Irfan, Li Zhu, Yang Yang, Yi Fang, Roderick R. McInnes, Jeffrey L. Wrana and Pamela A. Hoodless. Their work appears in journals such as Lipids in Health and Disease, Postgraduate Medical Journal, iScience, Medicine and Hepatology International.
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.