Ying Luan

67 papers receiving 2.4k citations

Peers

Ying Luan
Comparison fields: 5 of 124
  • Genetics 544
  • Pathology and Forensic Medicine 430
  • Biomedical Engineering 931
  • Sensory Systems 74
  • Radiology, Nuclear Medicine and Imaging 282
Replace D. Cesselli with:
D. Cesselli Italy
Philippe Patrick Monnier Canada
Olav Mella Norway
Oliver Martin Grauer Germany
Eiichi Ishikawa Japan
Klaus Tiemann Germany
Lucio Barile Italy
Majd Zayzafoon United States
Herbert H. Engelhard United States
Klaus Roosen Germany
Ying Luan relative to D. Cesselli Italy D. Cesselli's profile →
Citations per field
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D. Cesselli · 1×
Citations per year

Countries citing papers authored by Ying Luan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying Luan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Luan Line = papers co-authored together Ying Luan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018292
2 2020232
3 2014216
4 2020134
5 201688
6 201583
7 202181
8 201779
9 201479
10 201672
11 201559
12 201357
13 202156
14 201654
15 201252
16 201246
17 201844
18 201844
19 201942
20 202238

About Ying Luan

Ying Luan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cognitive Neuroscience, Genetics and Molecular Biology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (22 papers), Photoacoustic and Ultrasonic Imaging (21 papers), Ultrasound and Cavitation Phenomena (11 papers), Ultrasound Imaging and Elastography (8 papers), Histone Deacetylase Inhibitors Research (8 papers), Functional Brain Connectivity Studies (7 papers), Mitochondrial Function and Pathology (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (544 citations), Pathology and Forensic Medicine (430 citations), Biomedical Engineering (931 citations), Sensory Systems (74 citations) and Radiology, Nuclear Medicine and Imaging (282 citations). Ying Luan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Nico de Jong, Tim Segers, François Tranquart, Peter J. A. Frinking, Yang Yang, Yi Luan, Michel Versluis, Antonius F.W. van der Steen, Ine Lentacker and Kaidi Ren. Their work appears in journals such as Blood, Ultrasound in Medicine & Biology, Oxidative Medicine and Cellular Longevity, Frontiers in Neuroscience and Frontiers in Pharmacology.

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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