Bingyan Guo

1.1k citations
43 papers · 826 · h-index 14

Impact in

Papers in

Bingyan Guo

41 papers receiving 816 citations

Peers

Bingyan Guo
Comparison fields: 5 of 82
  • Aging 79
  • Endocrine and Autonomic Systems 214
  • Physiology 236
  • Cancer Research 102
  • Cardiology and Cardiovascular Medicine 130
Replace Lucile Dollet with:
Lucile Dollet Sweden
Marita A. Wallace Australia
Juan C. Bournat United States
Alicia Mayeuf-Louchart France
Srabani Sahu United States
José Fernández‐Martínez Spain
Lingguang Cui United States
Gholamreza Fazeli Germany
Beatriz de Luxán‐Delgado Spain
Diana Athonvarangkul United States
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Citations per field
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Citations per year

Countries citing papers authored by Bingyan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Bingyan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012139
2 201380
3 201176
4 202265
5 201563
6 201955
7 201946
8 201132
9 202129
10 201429
11 201520
12 202019
13 202315
14 201714
15 202213
16 201813
17 201412
18 201112
19
Nicotine-induced ICAM-1 and VCAM-1 expression in mouse cardiac vascular endothelial cell via p38 MAPK signaling pathway.
201410
20 20118

About Bingyan Guo

Bingyan Guo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Surgery and Endocrine and Autonomic Systems, having authored 43 papers that have together received 826 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (7 papers), Cardiovascular Function and Risk Factors (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Circadian rhythm and melatonin (4 papers), Adipose Tissue and Metabolism (3 papers), Signaling Pathways in Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Aging (79 citations), Endocrine and Autonomic Systems (214 citations), Physiology (236 citations), Cancer Research (102 citations) and Cardiology and Cardiovascular Medicine (130 citations). Bingyan Guo has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Suyun Liu, Ke Ma, Vijay Yechoor, Somik Chatterjee, Jeongkyung Lee, Laurie J. Minze, Lifei Li, Hong Zhou, Willa A. Hsueh and Liu Huang. Their work appears in journals such as BMC Cardiovascular Disorders, Journal of Cell Science, Evidence-based Complementary and Alternative Medicine, Journal of Cellular and Molecular Medicine and Acta Pharmacologica Sinica.

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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