David S. Paik
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Co-authors
- Sandy NapelGeoffrey D. RubinR. Brooke JeffreyChristopher F. BeaulieuChristian BeaulieuJudy YeeBurak AcarJustus E. Roos
- Topics
- Colorectal Cancer Screening and Detection (16 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Medical Imaging Techniques and Applications (13 papers)
- Partner nations
- United StatesTürkiyeCanada
In The Last Decade
David S. Paik
53 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 123
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 914
- Oncology 627
- Computer Vision and Pattern Recognition 393
- Artificial Intelligence 313
Countries citing papers authored by David S. Paik
This map shows the geographic impact of David S. Paik'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 David S. Paik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Paik more than expected).
Fields of papers citing papers by David S. Paik
This network shows the impact of papers produced by David S. Paik. 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 David S. Paik. The network helps show where David S. Paik may publish in the future.
Co-authorship network of co-authors of David S. Paik
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Paik. A scholar is included among the top collaborators of David S. Paik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David S. Paik. David S. Paik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 157 | |
| 5 | 22 | |
| 6 | 18 | |
| 7 | 204 | |
| 8 | 34 | |
| 9 | 186 | |
| 10 | 52 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | Differential Diagnosis of Chemical-induced Hepatobiliary Toxicities Using a New Hepatobiliary Imaging Agent in Mice | 2 |
| 14 | 117 | |
| 15 | 23 | |
| 16 | 21 | |
| 17 | 61 | |
| 18 | 32 | |
| 19 | 29 | |
| 20 | 120 |
About David S. Paik
David S. Paik is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Medical Imaging Techniques and Applications (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Pulmonary and Respiratory Medicine (914 citations) and Oncology (627 citations). David S. Paik has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Sandy Napel, Geoffrey D. Rubin, R. Brooke Jeffrey, Christopher F. Beaulieu, Christian Beaulieu, Judy Yee, Burak Acar, Justus E. Roos, Jiantao Pu and Chin A Yi. Their work appears in journals such as Cancer Research, Radiology and Journal of Neurochemistry.
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.