Peiyuan Bai

937 citations
13 papers · 510 indexed · 1 hit paper · h-index 9
Topics
Cardiac Fibrosis and Remodeling (5 papers)Signaling Pathways in Disease (4 papers)Pulmonary Hypertension Research and Treatments (4 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Peiyuan Bai

13 papers receiving 508 citations

Hit Papers

Cardiac Resident Macrophage-Derived Legumain Improves Car...202220262023202420224080120

Peers

Peiyuan Bai
Comparison fields: 5 of 71
  • Molecular Biology 231
  • Cardiology and Cardiovascular Medicine 183
  • Immunology 138
  • Pulmonary and Respiratory Medicine 109
  • Surgery 82
Replace Silvia González-Ramos with:
Silvia González-Ramos Spain
Maria T. K. Zaldivia Australia
Xinyang Hu China
Shuaibo Huang United States
Hongyang Xie China
Huili Lin China
Xuesong Qian China
Tan Pham United States
Ruoshui Li China
Peiyuan Bai relative to Silvia González-Ramos Spain Silvia González-Ramos's profile →
Citations per field
00.5×
Silvia González-Ramos · 1×
Citations per year

Countries citing papers authored by Peiyuan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Peiyuan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyuan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyuan Bai. A scholar is included among the top collaborators of Peiyuan Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peiyuan Bai. Peiyuan Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 2
3 5
4 32
5 42
6 27
7
Cardiac Resident Macrophage-Derived Legumain Improves Cardiac Repair by Promoting Clearance and Degradation of Apoptotic Cardiomyocytes After Myocardial Infarctionbreakdown →
149
8 8
9 30
10 37
11 13
12 58
13 104

About Peiyuan Bai

Peiyuan Bai is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Nephrology, having authored 13 papers that have together received 510 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (5 papers), Signaling Pathways in Disease (4 papers) and Pulmonary Hypertension Research and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (183 citations), Immunology (138 citations) and Cancer Research (66 citations). Peiyuan Bai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Daile Jia, Junbo Ge, Aijun Sun, Siqin Chen, Jin Liu, Jian Wu, Xinyu Weng, Wenlong Yang, Kai Hu and Hao Jiang. Their work appears in journals such as Circulation, Nature Communications and Circulation Research.

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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