Daniel F. Kacher
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 5%
- Co-authors
- Ferenc A. JóleszWalid E. KyriakosEva C. GombosPeter GanzPeter LibbyStuart G. SilvermanRon KikinisCharles R.G. Guttmann
- Topics
- Advanced MRI Techniques and Applications (33 papers)MRI in cancer diagnosis (13 papers)Atomic and Subatomic Physics Research (9 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel F. Kacher
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 1.1k
- Biomedical Engineering 509
- Surgery 494
- Pulmonary and Respiratory Medicine 279
- Genetics 277
Countries citing papers authored by Daniel F. Kacher
This map shows the geographic impact of Daniel F. Kacher'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 Daniel F. Kacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Kacher more than expected).
Fields of papers citing papers by Daniel F. Kacher
This network shows the impact of papers produced by Daniel F. Kacher. 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 Daniel F. Kacher. The network helps show where Daniel F. Kacher may publish in the future.
Co-authorship network of co-authors of Daniel F. Kacher
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Kacher. A scholar is included among the top collaborators of Daniel F. Kacher 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 Daniel F. Kacher. Daniel F. Kacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 201 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 31 | |
| 6 | 66 | |
| 7 | 32 | |
| 8 | 29 | |
| 9 | 25 | |
| 10 | 23 | |
| 11 | 18 | |
| 12 | 36 | |
| 13 | 87 | |
| 14 | Neurosurgical Procedures in a 0.5 Tesla, Open-Configuration Intraoperative MRI: Planning, Visualization, And Navigation | 3 |
| 15 | 82 | |
| 16 | 32 | |
| 17 | 154 | |
| 18 | 35 | |
| 19 | 22 | |
| 20 | 19 |
About Daniel F. Kacher
Daniel F. Kacher is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Radiation, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (33 papers), MRI in cancer diagnosis (13 papers) and Atomic and Subatomic Physics Research (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Genetics (277 citations) and Radiation (123 citations). Daniel F. Kacher has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ferenc A. Jólesz, Walid E. Kyriakos, Eva C. Gombos, Peter Ganz, Peter Libby, Stuart G. Silverman, Ron Kikinis, Charles R.G. Guttmann, Eufemiano Cardoso and Brian C. Cooley. Their work appears in journals such as Circulation, NeuroImage and American Journal of Psychiatry.
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.