Grace J. Gang
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 10%
- Radiation top 5%
- Artificial Intelligence
- Co-authors
- J. Webster StaymanJeffrey H. SiewerdsenWojciech ZbijewskiJ. H. SiewerdsenDaniel J. TwardJunghoon LeeTina EhtiatiJerry L. Prince
- Topics
- Advanced X-ray and CT Imaging (81 papers)Medical Imaging Techniques and Applications (80 papers)Radiation Dose and Imaging (61 papers)
- Journals
- Scientific ReportsIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Grace J. Gang
98 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 991
- Biomedical Engineering 914
- Pulmonary and Respiratory Medicine 264
- Radiation 152
- Artificial Intelligence 59
Countries citing papers authored by Grace J. Gang
This map shows the geographic impact of Grace J. Gang'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 Grace J. Gang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace J. Gang more than expected).
Fields of papers citing papers by Grace J. Gang
This network shows the impact of papers produced by Grace J. Gang. 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 Grace J. Gang. The network helps show where Grace J. Gang may publish in the future.
Co-authorship network of co-authors of Grace J. Gang
This figure shows the co-authorship network connecting the top 25 collaborators of Grace J. Gang. A scholar is included among the top collaborators of Grace J. Gang 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 Grace J. Gang. Grace J. Gang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 32 | |
| 20 | 3 |
About Grace J. Gang
Grace J. Gang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (81 papers), Medical Imaging Techniques and Applications (80 papers) and Radiation Dose and Imaging (61 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (991 citations), Biomedical Engineering (914 citations) and Radiation (152 citations). Grace J. Gang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include J. Webster Stayman, Jeffrey H. Siewerdsen, Wojciech Zbijewski, J. H. Siewerdsen, Daniel J. Tward, Junghoon Lee, Tina Ehtiati, J. H. Siewerdsen, Jerry L. Prince and John A. Carrino. Their work appears in journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.