Xiaoning Ding

36 papers receiving 1k citations

Peers

Xiaoning Ding
Comparison fields: 5 of 40
  • Radiation 439
  • Pulmonary and Respiratory Medicine 795
  • Health Informatics 11
  • Medical Laboratory Technology 1
  • Radiology, Nuclear Medicine and Imaging 26
Replace Mirek Fatyga with:
Mirek Fatyga United States
Ronald X. Zhu United States
Yixiu Kang United States
Edoardo Mastella Italy
Alessandro Vai Italy
Gloria Vilches‐Freixas Netherlands
Peter C. Park United States
Peter-Paul van der Toorn Netherlands
Christian Fiandra Italy
C Peeler United States
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Citations per year

Countries citing papers authored by Xiaoning Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015120
2 201776
3 200871
4 201864
5 202059
6 202049
7 200947
8 201947
9 201846
10 201842
11 201540
12 202340
13 201133
14 201932
15 201431
16 201328
17 201928
18 201627
19 199523
20 201722

About Xiaoning Ding

Xiaoning Ding is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Health Informatics, Pathology and Forensic Medicine and Immunology, having authored 37 papers that have together received 1k indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (26 papers), Advanced Radiotherapy Techniques (17 papers), Cardiac Ischemia and Reperfusion (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Advanced MRI Techniques and Applications (1 paper), Cardiac Fibrosis and Remodeling (1 paper) and Congenital heart defects research (1 paper). The work is most often cited by research in Radiation (439 citations), Pulmonary and Respiratory Medicine (795 citations), Health Informatics (11 citations), Medical Laboratory Technology (1 citation) and Radiology, Nuclear Medicine and Imaging (26 citations). Xiaoning Ding has collaborated with scholars based in United States, China and India. Frequent co-authors include Martin Bues, Wei Liu, Jiajian Shen, Steven E. Schild, Narayan Sahoo, WILLIAM W. WONG, Yanle Hu, Samir H. Patel, Jie Shan and Bijan Arjomandy. Their work appears in journals such as Medical Physics, Journal of Applied Clinical Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Advances in Radiation Oncology and Technology in Cancer Research & Treatment.

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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