Dan Pan
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Probiotics and Fermented Foods 3
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- Oral Health Pathology and Treatment 2
- Co-authors
- Changhong Liang (1 shared paper)Jie Tian (1 shared paper)Zelan Ma (1 shared paper)Cuishan Liang (1 shared paper)Xin Chen (1 shared paper)Zaiyi Liu (1 shared paper)Yanqi Huang (1 shared paper)Lan He (1 shared paper)
- Journals
- Clinical Infectious Diseases (2 papers)Frontiers in Endocrinology (1 paper)Journal of Dental Sciences (1 paper)Analytical Chemistry (1 paper)Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dan Pan
22 papers receiving 910 citations
Dan Pan's Hit Papers
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 407
- Health Informatics 11
- Hepatology 41
- Pulmonary and Respiratory Medicine 155
- Otorhinolaryngology 15
Countries citing papers authored by Dan Pan
This map shows the geographic impact of Dan Pan'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 Dan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Pan more than expected).
Fields of papers citing papers by Dan Pan
This network shows the impact of papers produced by Dan Pan. 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 Dan Pan. The network helps show where Dan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Pan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer Hit paper breakdown → | 2016 | 617 |
| 2 | 2017 | 91 | |
| 3 | 2023 | 68 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 26 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2017 | 3 | |
| 13 | Isolation of type 14 adenovirus from an outbreak of tonsillopharyngitis. | 1967 | 2 |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Dan Pan
Dan Pan is a scholar working on Food Science, Periodontics, Reproductive Medicine, Animal Science and Zoology and Epidemiology, having authored 23 papers that have together received 922 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Meat and Animal Product Quality (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Oral Health Pathology and Treatment (2 papers), Drug Transport and Resistance Mechanisms (1 paper), Pediatric Hepatobiliary Diseases and Treatments (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (407 citations), Health Informatics (11 citations), Hepatology (41 citations), Pulmonary and Respiratory Medicine (155 citations) and Otorhinolaryngology (15 citations). Dan Pan has collaborated with scholars based in China, United States and France. Frequent co-authors include Changhong Liang, Jie Tian, Zelan Ma, Cuishan Liang, Xin Chen, Zaiyi Liu, Yanqi Huang, Lan He, Qiaozhen Kang and Jike Lu. Their work appears in journals such as Clinical Infectious Diseases, Frontiers in Endocrinology, Journal of Dental Sciences, Analytical Chemistry and Food Chemistry.
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.