Liuyun Wu

409 total citations · 1 hit paper
9 papers, 217 citations indexed

About

Liuyun Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Liuyun Wu has authored 9 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Liuyun Wu's work include Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Patient Safety and Medication Errors (2 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). Liuyun Wu is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Patient Safety and Medication Errors (2 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). Liuyun Wu collaborates with scholars based in China and Singapore. Liuyun Wu's co-authors include Lizhu Han, Yuan Bian, Xingyue Zheng, Rongsheng Tong, Lian Li, Lan Bai, Qinan Yin, Yi Wang, Xuefei Huang and Lan Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Frontiers in Pharmacology.

In The Last Decade

Liuyun Wu

7 papers receiving 214 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immune-related adverse events of immune checkpoint inhibitors: a review

2023 189 citations Qinan Yin, Liuyun Wu et al. Frontiers in Immunology profile →

Peers

Liuyun Wu

ONCOL

IMMUN

MB

PRM

SURGE

Xingyue Zheng China

Ryan Massa United States

Weigang Xiu China

Mike Mattie United States

Pengpeng Liu China

Silvana Acquafredda Italy

Burhan Abdullah Zaman Iraq

Rocco Giannicola Italy

Sara Alothman United States

Jan-Hendrik Egberts Germany

Xingyue Zheng China

Liuyun Wu

137 ×1.0

ONCOL

61 ×1.0

IMMUN

45 ×1.0

MB

37 ×1.1

PRM

24 ×1.1

SURGE

Citations per year, relative to Liuyun Wu Liuyun Wu (= 1×) peers Xingyue Zheng

Countries citing papers authored by Liuyun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Liuyun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuyun Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zheng, Xin, Liuyun Wu, Lian Li, et al.. (2025). Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients. Frontiers in Pharmacology. 16. 1448879–1448879.

2.

Wang, Yin, Liuyun Wu, H. Wang, et al.. (2025). Ligusticum chuanxiong: a chemical, pharmacological and clinical review. Frontiers in Pharmacology. 16. 1523176–1523176. 3 indexed citations

3.

Chong, Joyce R., Yuek Ling Chai, Liuyun Wu, et al.. (2024). Plasma neurofilament light chain as a prognostic biomarker of white matter hyperintensity progression and cognitive decline. SHILAP Revista de lepidopterología. 6. 100290–100290. 1 indexed citations

4.

Han, Lizhu, Liuyun Wu, Lian Li, et al.. (2024). A promising therapy for fatty liver disease: PCSK9 inhibitors. Phytomedicine. 128. 155505–155505. 15 indexed citations

5.

Wu, Shan, et al.. (2024). Establishing a trigger tool based on global trigger tools to identify adverse drug events in obstetric inpatients in China. BMC Health Services Research. 24(1). 72–72.

6.

Han, Lizhu, Yin Wang, Liuyun Wu, et al.. (2024). Unlocking the potential of fondaparinux: guideline for optimal usage and clinical suggestions (2023). Frontiers in Pharmacology. 15. 1352982–1352982. 5 indexed citations

7.

Yin, Qinan, Liuyun Wu, Lizhu Han, et al.. (2023). Immune-related adverse events of immune checkpoint inhibitors: a review. Frontiers in Immunology. 14. 1167975–1167975. 189 indexed citations breakdown →

8.

Yu, Nan, Liuyun Wu, Xinxia Liu, et al.. (2023). Adverse drug events in Chinese elder inpatients: a retrospective review for evaluating the efficiency of the Global Trigger Tool. Frontiers in Medicine. 10. 1232334–1232334. 3 indexed citations

9.

Yin, Qinan, Xingyue Zheng, Yujie Song, et al.. (2023). Decoding signaling mechanisms: unraveling the targets of guanylate cyclase agonists in cardiovascular and digestive diseases. Frontiers in Pharmacology. 14. 1272073–1272073. 1 indexed citations

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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