Ling Xia

6.8k citations
220 papers · 5.6k · h-index 36

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

Ling Xia

209 papers receiving 5.4k citations

Peers

Ling Xia
Comparison fields: 5 of 169
  • Cancer Research 1.0k
  • Oncology 1.2k
  • Molecular Biology 2.3k
  • Clinical Biochemistry 213
  • Cardiology and Cardiovascular Medicine 614
Replace Isao Nakanishi with:
Isao Nakanishi Japan
Guo Chen China
Koïchi Shimizu Japan
David Chen United States
B. Herman United States
John R. Griffiths United Kingdom
David A. Fishman United States
Yasuhisa Fujii Japan
Michael S. Brown United States
Julio Sáez-Rodríguez Germany
Ling Xia relative to Isao Nakanishi Japan Isao Nakanishi's profile →
Citations per field
00.5×6.5×
Isao Nakanishi · 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 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009484
2 2013368
3 2011334
4 2008298
5 2012201
6 2007197
7 2013151
8 2008138
9 2013135
10 2017133
11 2002121
12 2013120
13 2009119
14 201590
15 201784
16 201378
17 199976
18 200873
19 201170
20 201966

About Ling Xia

Ling Xia is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering, having authored 220 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (55 papers), Advanced MRI Techniques and Applications (49 papers), Cardiovascular Function and Risk Factors (24 papers), ECG Monitoring and Analysis (23 papers), Ion channel regulation and function (14 papers), Electrical and Bioimpedance Tomography (13 papers), Numerical methods in inverse problems (10 papers) and Cancer Cells and Metastasis (10 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (1.2k citations), Molecular Biology (2.3k citations), Clinical Biochemistry (213 citations) and Cardiology and Cardiovascular Medicine (614 citations). Ling Xia has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lee M. Ellis, Nikolaos A. Dallas, Shaija Samuel, Feng Liu, Michael J. Gray, Sherry J. Lim, ‪Stuart Crozier‬, Yunfei Zhou, Xiangcang Ye and Federico Tozzi. Their work appears in journals such as Physics in Medicine and Biology, Mathematical Biosciences & Engineering, Frontiers in Physiology, Journal of Zhejiang University SCIENCE B and IEEE Transactions on Biomedical Engineering.

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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