Defang Ding
Impact in
- Health Informatics top 10%
- Physiology top 10%
- Asthma and respiratory diseases
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 2
- Radiology practices and education 2
- Radiation Dose and Imaging 2
-
- DNA Repair Mechanisms 3
- Co-authors
- James G. Martin (1 shared paper)Peter T. Macklem (1 shared paper)Jingyu Zhong (22 shared papers)Yue Xing (22 shared papers)Weiwu Yao (18 shared papers)Yangfan Hu (14 shared papers)Lina Yin (3 shared papers)Huan Zhang (13 shared papers)
- Journals
- Insights into Imaging (9 papers)European Radiology (5 papers)Journal of Magnetic Resonance Imaging (2 papers)The American Journal of Medicine (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Defang Ding
33 papers receiving 693 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 20
- Physiology 206
- Pulmonary and Respiratory Medicine 237
- Developmental Neuroscience 26
- Radiology, Nuclear Medicine and Imaging 128
Countries citing papers authored by Defang Ding
This map shows the geographic impact of Defang 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 Defang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Defang Ding more than expected).
Fields of papers citing papers by Defang Ding
This network shows the impact of papers produced by Defang 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 Defang Ding. The network helps show where Defang Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Defang Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 287 | |
| 2 | 2011 | 51 | |
| 3 | 2016 | 49 | |
| 4 | 2016 | 46 | |
| 5 | 2022 | 38 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2016 | 19 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2023 | 11 | |
| 15 | Pulsed radiofrequency to the great occipital nerve for the treatment of intractable postherpetic itch: a case report. | 2014 | 10 |
| 16 | 2016 | 9 | |
| 17 | 2025 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2016 | 7 |
About Defang Ding
Defang Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Cancer Research, having authored 39 papers that have together received 702 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), DNA Repair Mechanisms (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Radiation Therapy and Dosimetry (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiology practices and education (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Health Informatics (20 citations), Physiology (206 citations), Pulmonary and Respiratory Medicine (237 citations), Developmental Neuroscience (26 citations) and Radiology, Nuclear Medicine and Imaging (128 citations). Defang Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include James G. Martin, Peter T. Macklem, Jingyu Zhong, Yue Xing, Weiwu Yao, Yangfan Hu, Lina Yin, Huan Zhang, Xuxia Zhang and Honghong Chen. Their work appears in journals such as Insights into Imaging, European Radiology, Journal of Magnetic Resonance Imaging, The American Journal of Medicine and Scientific Reports.
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.