Bin Yi

478 citations
19 papers · 309 · 1 hit paper · h-index 9

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Gut microbiota and health 1
    • Chronic Kidney Disease and Diabetes 2

Bin Yi

17 papers receiving 303 citations

Bin Yi's Hit Papers

Estimated glucose disposal rate for predicting cardiovascular events and mortality in patients with non-diabetic chronic kidney disease: a prospective cohort study 2024 · 51 citations
510+1Years since publication1020304050

Peers

Bin Yi
Comparison fields: 5 of 84
  • Modeling and Simulation 19
  • Nephrology 14
  • General Dentistry 3
  • Geriatrics and Gerontology 6
  • Pulmonary and Respiratory Medicine 55
Replace Xuerui Tan with:
Xuerui Tan China
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Bin Yi relative to Xuerui Tan China Xuerui Tan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bin Yi

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202280
2 202058
3
Estimated glucose disposal rate for predicting cardiovascular events and mortality in patients with non-diabetic chronic kidney disease: a prospective cohort study
Hit paper breakdown →
202451
4 202221
5 202320
6 202217
7 202014
8 202310
9 20228
10 20237
11 20247
12 20255
13 20224
14 20243
15 20222
16 20101
17 20251
18 20220
19 20250

About Bin Yi

Bin Yi is a scholar working on Molecular Biology, Nephrology, Infectious Diseases, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 309 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Infection Control and Ventilation (1 paper), Adenosine and Purinergic Signaling (1 paper), Gastrointestinal motility and disorders (1 paper), Genetic Neurodegenerative Diseases (1 paper), Gut microbiota and health (1 paper) and Climate Change and Health Impacts (1 paper). The work is most often cited by research in Modeling and Simulation (19 citations), Nephrology (14 citations), General Dentistry (3 citations), Geriatrics and Gerontology (6 citations) and Pulmonary and Respiratory Medicine (55 citations). Bin Yi has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yanfang Luo, Juan Peng, Zhijun Huang, Weilin Chen, Yan Zhang, Fangyu Ma, Li Chen, Jiahui Wu, Xun Huang and Aimin Wang. Their work appears in journals such as Frontiers in Public Health, Materials Today, Renal Failure, Frontiers in Endocrinology and Frontiers in Oncology.

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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