Yuan Bian

878 total citations · 1 hit paper
38 papers, 515 citations indexed

About

Yuan Bian is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Yuan Bian has authored 38 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Yuan Bian's work include Venous Thromboembolism Diagnosis and Management (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Patient Safety and Medication Errors (3 papers). Yuan Bian is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Patient Safety and Medication Errors (3 papers). Yuan Bian collaborates with scholars based in China, Germany and India. Yuan Bian's co-authors include Rongsheng Tong, Lizhu Han, Xingyue Zheng, Liuyun Wu, Lan Bai, Qinan Yin, Lian Li, Yingying Hou, Min Chen and Hongtao Xiao and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and International Journal of Pharmaceutics.

In The Last Decade

Yuan Bian

32 papers receiving 507 citations

Hit Papers

Immune-related adverse events of immune checkpoint inhibi... 2023 2026 2024 2025 2023 50 100 150

Peers

Yuan Bian
Comparison fields: 5 of 111
  • Oncology 163
  • Molecular Biology 136
  • Immunology 98
  • Cancer Research 64
  • Pulmonary and Respiratory Medicine 59
Replace Dan Pu with:
Dan Pu China
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P. Langecker United States
Simona Căinap Romania
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Manasi P. Jogalekar United States
Dongyan Cai China
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Dan Pu China View profile →
Citations per field, relative to Yuan Bian
Yuan Bian · 1×
Citations per year, relative to Yuan Bian
Yuan Bian · 1×

Countries citing papers authored by Yuan Bian

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Bian. A scholar is included among the top collaborators of Yuan Bian 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 Yuan Bian. Yuan Bian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 0
6 1
7 15
8 42
9 10
10 0
11 0
12 1
13 38
14
Immune-related adverse events of immune checkpoint inhibitors: a review breakdown →
189
15 3
16 10
17 11
18 1
19 9
20 30

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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