Bin Lü

3.8k citations
160 papers · 2.7k indexed · h-index 27

Bin Lü

150 papers receiving 2.6k citations

Peers

Bin Lü
Comparison fields: 5 of 156
  • Endocrinology, Diabetes and Metabolism 768
  • Nephrology 230
  • Hepatology 184
  • Physiology 571
  • Endocrine and Autonomic Systems 115
Replace Kenji Okajima with:
Kenji Okajima Japan
Hiroyuki Kobayashi Japan
Takahisa Kawaguchi Japan
Yasushi Saito Japan
Koichi Sugimoto Japan
Jian Zhou China
Song Rong Germany
Ken Yamaguchi Japan
Juan Oliver United States
Masaki Watanabe Japan
Bin Lü relative to Kenji Okajima Japan Kenji Okajima's profile →
Citations per field
00.5×5.9×
Kenji Okajima · 1×
Citations per year

Countries citing papers authored by Bin Lü

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Bin Lü Line = papers co-authored together Bin Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20249
4 20242
5 20242
6 20243
7 20237
8 202338
9 20227
10 201987
11 20182
12 2018213
13 201723
14
The estimated glomerular filtration rate is associated with subclinical atherosclerosis, independently of albuminuria, in patients with type 2 diabetes.
20137
15 201247
16 20121
17
Effect of electroacupuncture at Tianshu(ST 25) on colonic electromyography in Slow transit constipation rats
20112
18 2011107
19 200645
20
The Toxic Effects of Bisphenol A on Human Embryo Liver L-02 Cells
20051

About Bin Lü

Bin Lü is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Physiology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 160 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (17 papers), Pituitary Gland Disorders and Treatments (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Cardiovascular Health and Disease Prevention (10 papers), Botulinum Toxin and Related Neurological Disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Diabetic Foot Ulcer Assessment and Management (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (768 citations), Nephrology (230 citations), Hepatology (184 citations), Physiology (571 citations) and Endocrine and Autonomic Systems (115 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, Hangping Zheng, Linuo Zhou, Yiming Li, Xiaoming Zhu and Xuanchun Wang. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetology & Metabolic Syndrome, Infection and Drug Resistance, Diabetic Medicine and Cardiovascular Diabetology.

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.

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2026