Ling Xia

6.8k citations
207 papers · 5.3k · h-index 35

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

Ling Xia

195 papers receiving 5.2k citations

Peers

Ling Xia
Comparison fields: 5 of 170
  • Cancer Research 1.1k
  • Oncology 1.4k
  • Molecular Biology 2.5k
  • Clinical Biochemistry 223
  • Cardiology and Cardiovascular Medicine 613
Replace Guo Chen with:
Guo Chen China
David Chen United States
Yasuhisa Fujii Japan
Koïchi Shimizu Japan
David A. Fishman United States
B. Herman United States
Fei Han China
Yutaka Yatomi Japan
Julio Sáez-Rodríguez Germany
Aleksander S. Popel United States
Ling Xia relative to Guo Chen China Guo Chen's profile →
Citations per field
00.5×4.1×
Guo Chen · 1×
Citations per year

Countries citing papers authored by Ling Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ling Xia, 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 Ling Xia Line = papers co-authored together Ling Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009465
2 2013347
3 2011328
4 2008290
5 2012197
6 2007182
7 2013151
8 2013133
9 2008128
10 2017126
11 2002119
12 2013119
13 2009115
14 201590
15 201780
16 201374
17 199973
18 201169
19 200869
20 200862

About Ling Xia

Ling Xia is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering and Oncology, having authored 207 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (50 papers), Cardiac electrophysiology and arrhythmias (50 papers), ECG Monitoring and Analysis (23 papers), Cardiovascular Function and Risk Factors (21 papers), Ion channel regulation and function (16 papers), Cancer Cells and Metastasis (13 papers), Medical Imaging Techniques and Applications (13 papers) and Cardiac Imaging and Diagnostics (12 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.4k citations), Molecular Biology (2.5k citations), Clinical Biochemistry (223 citations) and Cardiology and Cardiovascular Medicine (613 citations). Ling Xia has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fan Fan, Lee M. Ellis, Nikolaos A. Dallas, Shaija Samuel, Michael J. Gray, Feng Liu, Sherry J. Lim, ‪Stuart Crozier‬, Yunfei Zhou and Xiangcang Ye. Their work appears in journals such as Mathematical Biosciences & Engineering, Physics in Medicine and Biology, Frontiers in Physiology, Journal of Zhejiang University SCIENCE B and Clinical Cancer Research.

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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