Bin Lü

4.0k citations
163 papers · 3.1k · h-index 28

Impact in

Papers in

Bin Lü

156 papers receiving 3.1k citations

Peers

Bin Lü
Comparison fields: 5 of 155
  • Endocrinology, Diabetes and Metabolism 631
  • Nephrology 215
  • Hepatology 191
  • Physiology 456
  • Endocrine and Autonomic Systems 91
Replace Kenji Okajima with:
Kenji Okajima Japan
Hiroyuki Kobayashi Japan
Sang Wan Kim South Korea
Bart Van der Schueren Belgium
Masaki Watanabe Japan
Juan A. Oliver United States
Jian Ping Zhou China
Otmar M. Pachinger Austria
Takayuki Tsuji Japan
Aurélie Edwards United States
Bin Lü relative to Kenji Okajima Japan Kenji Okajima's profile →
Citations per field
00.5×2×4×5.3×
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-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.

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

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018246
2 2011114
3 200994
4 201993
5 201392
6 201477
7 201776
8 201271
9 202262
10 201058
11 201057
12 201553
13 200853
14 202050
15 200449
16 201249
17 200649
18 202348
19 201946
20 200645

About Bin Lü

Bin Lü is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 163 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Pain Mechanisms and Treatments (9 papers), Advancements in Battery Materials (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Advanced Battery Materials and Technologies (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (631 citations), Nephrology (215 citations), Hepatology (191 citations), Physiology (456 citations) and Endocrine and Autonomic Systems (91 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, Hangping Zheng, Linuo Zhou, Xiaoming Zhu and Xuanchun Wang. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetology & Metabolic Syndrome, Frontiers in Endocrinology, Cardiovascular Diabetology and Diabetic Medicine.

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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