Suru Yue

550 total citations · 1 hit paper
20 papers, 285 citations indexed

About

Suru Yue is a scholar working on Surgery, Nephrology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Suru Yue has authored 20 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Nephrology and 4 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Suru Yue's work include Hemodynamic Monitoring and Therapy (4 papers), Acute Kidney Injury Research (4 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Suru Yue is often cited by papers focused on Hemodynamic Monitoring and Therapy (4 papers), Acute Kidney Injury Research (4 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Suru Yue collaborates with scholars based in China. Suru Yue's co-authors include Xuefei Hou, Jiayuan Wu, Shasha Li, Xueying Huang, Jie Liu, Dongdong Niu, Yumei Zhao, Yufeng Wang, Wenkai Tan and Jia Wang and has published in prestigious journals such as Psychiatry Research, Frontiers in Pharmacology and Frontiers in Oncology.

In The Last Decade

Suru Yue

18 papers receiving 281 citations

Hit Papers

Machine learning for the prediction of acute kidney injur... 2022 2026 2023 2024 2022 40 80 120

Peers

Suru Yue
Comparison fields: 5 of 83
  • Epidemiology 102
  • Nephrology 71
  • Pulmonary and Respiratory Medicine 50
  • Surgery 39
  • Radiology, Nuclear Medicine and Imaging 30
Dongdong Niu China
Minsu Park South Korea
Jason Denton United States
Chia‐Chen Teng United States
Mário de Seixas Rocha Brazil
Verônica T. Costa e Silva Brazil
Yuk‐Ying Chan Taiwan
Bryan Whelan Ireland
Radomir Naumović Serbia
Daqing Hong China
Dongdong Niu China View profile →
Citations per field, relative to Suru Yue
Suru Yue · 1×
Citations per year, relative to Suru Yue
Suru Yue · 1×

Countries citing papers authored by Suru Yue

Since Specialization
Citations

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

Fields of papers citing papers by Suru Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suru Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Suru Yue. A scholar is included among the top collaborators of Suru Yue 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 Suru Yue. Suru Yue 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 0
3 3
4 3
5 1
6 3
7 1
8 4
9 7
10 6
11 9
12 4
13 3
14 12
15 8
16 28
17 6
18
Machine learning for the prediction of acute kidney injury in patients with sepsis breakdown →
149
19 25
20 13

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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