Ying Liu

39.4k total citations · 2 hit papers
450 papers, 24.7k citations indexed

About

Ying Liu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ying Liu has authored 450 papers receiving a total of 24.7k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Cardiology and Cardiovascular Medicine, 115 papers in Molecular Biology and 59 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ying Liu's work include Cardiovascular Function and Risk Factors (28 papers), Atrial Fibrillation Management and Outcomes (25 papers) and Heart Failure Treatment and Management (23 papers). Ying Liu is often cited by papers focused on Cardiovascular Function and Risk Factors (28 papers), Atrial Fibrillation Management and Outcomes (25 papers) and Heart Failure Treatment and Management (23 papers). Ying Liu collaborates with scholars based in China, United States and United Kingdom. Ying Liu's co-authors include Xiaoying Gu, Hua Chen, Jiuyang Xu, Hui Li, Fei Zhou, Bin Song, Ronghui Du, Xudong Wu, Bin Cao and Ting Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Ying Liu

390 papers receiving 24.2k citations

Hit Papers

Clinical course and risk factors for mortality of adult i... 2020 2026 2022 2024 2020 2020 5.0k 10.0k 15.0k

Peers

Ying Liu
Comparison fields: 5 of 209
  • Infectious Diseases 13.4k
  • Neurology 6.8k
  • Oncology 4.4k
  • Molecular Biology 3.0k
  • Epidemiology 2.7k
Replace Bo Yang with:
Bo Yang China
Xudong Wu China
Yuan Wei China
Bin Cao China
Jie Xiang China
Hua Chen China
Ronghui Du China
Xiaoying Gu China
Yeming Wang China
Bo Yang China View profile →
Citations per field, relative to Ying Liu
Ying Liu · 1×
Citations per year, relative to Ying Liu
Ying Liu · 1×

Countries citing papers authored by Ying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Liu. A scholar is included among the top collaborators of Ying Liu 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 Ying Liu. Ying Liu 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 1
2 5
3 8
4 0
5 5
6 0
7 4
8 8
9 0
10 0
11 0
12 5
13 1
14 6
15 50
16 1
17
Detectable Serum Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load (RNAemia) Is Closely Correlated With Drastically Elevated Interleukin 6 Level in Critically Ill Patients With Coronavirus Disease 2019 breakdown →
693
18 34
19 36
20 17

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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