Bing Lu

460 citations
24 papers · 374 · h-index 10

Impact in

Papers in

Bing Lu

23 papers receiving 364 citations

Peers

Bing Lu
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 65
  • Cancer Research 41
  • Cardiology and Cardiovascular Medicine 60
  • Virology 12
  • Pulmonary and Respiratory Medicine 77
Replace Zhenyu Yao with:
Zhenyu Yao China
Regine Potthast Germany
Dosuk Yoon United States
Çetin Kocaefe Türkiye
István Czikora United States
Vlada Zakharova Russia
Mutsuko Nonaka‐Sarukawa Japan
Oleg S. Glotov Russia
Yasmina Benazzoug Algeria
Hideki Sakai Japan
Bing Lu relative to Zhenyu Yao China Zhenyu Yao's profile →
Citations per field
00.5×
Zhenyu Yao · 1×
Citations per year

Countries citing papers authored by Bing Lu

Since Specialization
Citations

This map shows the geographic impact of Bing Lu'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 Bing Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Lu more than expected).

Fields of papers citing papers by Bing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Lu. 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 Bing Lu. The network helps show where Bing Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Bing Lu, 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 Bing Lu Line = papers co-authored together Bing Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199863
2 200054
3 199546
4 199835
5 201535
6 199634
7 200029
8 201624
9 201117
10 20209
11 20176
12 20244
13 20243
14 20243
15 19983
16 20252
17 20241
18 20241
19 20241
20 20241

About Bing Lu

Bing Lu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 24 papers that have together received 374 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (3 papers), Pain Mechanisms and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), TGF-β signaling in diseases (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (65 citations), Cancer Research (41 citations), Cardiology and Cardiovascular Medicine (60 citations), Virology (12 citations) and Pulmonary and Respiratory Medicine (77 citations). Bing Lu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Melinda Larsen, David R. Rowley, Lauren McBride, Michael J. Gerdes, Truong D. Dang, Steven J. Ressler, Hang Hu, Peiyan Wong, Yi Zhun Zhu and Xia Wu. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology, Endocrinology, Neuroreport and BMC Urology.

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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