Dingxin Wang

1.8k citations
36 papers · 719 · h-index 17

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Cardiac Imaging and Diagnostics
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Dingxin Wang

33 papers receiving 713 citations

Peers

Dingxin Wang
Comparison fields: 5 of 89
  • Hepatology 280
  • Radiology, Nuclear Medicine and Imaging 420
  • Biophysics 22
  • Biological Psychiatry 8
  • Pulmonary and Respiratory Medicine 93
Replace Elena Kaye with:
Elena Kaye United States
Erik Dumont France
R Felix Germany
Xianyue Quan China
Andrew Hines-Peralta United States
Maggie Fung United States
Stephanie A. Solazzo United States
Hideki Ishimaru Japan
Tong Lu China
Jean‐Luc Daire France
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Citations per field
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Citations per year

Countries citing papers authored by Dingxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 200767
3 201160
4 201356
5 202142
6 200740
7 200838
8 201434
9 201529
10 200822
11 200619
12 202019
13 200718
14 201018
15 200917
16 201417
17 200816
18 200716
19 201115
20 200915

About Dingxin Wang

Dingxin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Epidemiology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 36 papers that have together received 719 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (18 papers), Advanced MRI Techniques and Applications (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver Disease Diagnosis and Treatment (6 papers), Advanced NMR Techniques and Applications (4 papers), Atomic and Subatomic Physics Research (4 papers), Liver Disease and Transplantation (2 papers) and Microplastics and Plastic Pollution (2 papers). The work is most often cited by research in Hepatology (280 citations), Radiology, Nuclear Medicine and Imaging (420 citations), Biophysics (22 citations), Biological Psychiatry (8 citations) and Pulmonary and Respiratory Medicine (93 citations). Dingxin Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Reed A. Omary, Riad Salem, Kent T. Sato, Robert K. Ryu, Andrew C. Larson, Robert J. Lewandowski, Mary F. Mulcahy, Andrew C. Larson, Laura Kulik and Kâmil Uǧurbil. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Journal of Magnetic Resonance Imaging, American Journal of Roentgenology, Radiology and Magnetic Resonance in Medicine.

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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