Bin Lü
Impact in
-
- Pituitary Gland Disorders and Treatments
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Pituitary Gland Disorders and Treatments 12
- Physiology 16
- Pain Mechanisms and Treatments 10
- Co-authors
- Renming Hu (42 shared papers)Zhaoyun Zhang (25 shared papers)Jie Wen (19 shared papers)Yehong Yang (23 shared papers)Shuo Zhang (24 shared papers)Yiming Li (12 shared papers)Linuo Zhou (11 shared papers)Hangping Zheng (18 shared papers)
- Journals
- Diabetes Research and Clinical Practice (11 papers)Diabetology & Metabolic Syndrome (5 papers)Diabetic Medicine (3 papers)Cardiovascular Diabetology (3 papers)Frontiers in Endocrinology (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Bin Lü
152 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 153
- Endocrinology, Diabetes and Metabolism 522
- Nephrology 208
- Hepatology 172
- Physiology 439
- Endocrine and Autonomic Systems 87
Countries citing papers authored by Bin Lü
This map shows the geographic impact of Bin 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 Bin Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lü more than expected).
Fields of papers citing papers by Bin Lü
This network shows the impact of papers produced by Bin 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 Bin Lü. The network helps show where Bin Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2011 | 108 | |
| 3 | 2009 | 92 | |
| 4 | 2013 | 91 | |
| 5 | 2019 | 91 | |
| 6 | 2017 | 73 | |
| 7 | 2014 | 71 | |
| 8 | 2012 | 70 | |
| 9 | 2010 | 56 | |
| 10 | 2022 | 55 | |
| 11 | 2010 | 54 | |
| 12 | 2015 | 52 | |
| 13 | 2004 | 50 | |
| 14 | 2008 | 50 | |
| 15 | 2012 | 48 | |
| 16 | 2020 | 48 | |
| 17 | 2006 | 48 | |
| 18 | 2006 | 46 | |
| 19 | 2023 | 40 | |
| 20 | 2013 | 38 |
About Bin Lü
Bin Lü is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Epidemiology and Molecular Biology, having authored 162 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (12 papers), Pain Mechanisms and Treatments (10 papers), Advancements in Battery Materials (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Advanced Battery Materials and Technologies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (522 citations), Nephrology (208 citations), Hepatology (172 citations), Physiology (439 citations) and Endocrine and Autonomic Systems (87 citations). Bin Lü has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Renming Hu, Zhaoyun Zhang, Jie Wen, Yehong Yang, Shuo Zhang, Yiming Li, Linuo Zhou, Hangping Zheng, Xuanchun Wang and Xiaoming Zhu. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetology & Metabolic Syndrome, Diabetic Medicine, Cardiovascular Diabetology and Frontiers in Endocrinology.
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.