Carl K. Hoh
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 2%
- Surgery top 2%
- Cancer Research top 2%
- Co-authors
- Michael E. PhelpsDavid R. VeraMagnus DahlbomJamshid MaddahiAnne M. WallaceYong ChoiJohn A. GlaspyRandall A. Hawkins
- Topics
- Medical Imaging Techniques and Applications (73 papers)Radiomics and Machine Learning in Medical Imaging (32 papers)Radiopharmaceutical Chemistry and Applications (28 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingOtorhinolaryngologyPulmonary and Respiratory Medicine
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Carl K. Hoh
169 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 157
- Radiology, Nuclear Medicine and Imaging 4.0k
- Pulmonary and Respiratory Medicine 2.0k
- Oncology 1.3k
- Surgery 1.2k
- Cancer Research 901
Countries citing papers authored by Carl K. Hoh
This map shows the geographic impact of Carl K. Hoh'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 Carl K. Hoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl K. Hoh more than expected).
Fields of papers citing papers by Carl K. Hoh
This network shows the impact of papers produced by Carl K. Hoh. 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 Carl K. Hoh. The network helps show where Carl K. Hoh may publish in the future.
Co-authorship network of co-authors of Carl K. Hoh
This figure shows the co-authorship network connecting the top 25 collaborators of Carl K. Hoh. A scholar is included among the top collaborators of Carl K. Hoh 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 Carl K. Hoh. Carl K. Hoh 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 | 3 | |
| 3 | 18 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 59 | |
| 9 | 6 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | 38 | |
| 13 | 33 | |
| 14 | 152 | |
| 15 | 19 | |
| 16 | Basic principles of positron emission tomography in oncology: quantitation and whole body techniques. | 4 |
| 17 | 23 | |
| 18 | 71 | |
| 19 | 55 | |
| 20 | Results of a Clinical ROC Study Comparing Filtered Backprojection and Maximum Likelihood Estimator Images in FDG PET Studies | 2 |
About Carl K. Hoh
Carl K. Hoh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pulmonary and Respiratory Medicine, having authored 172 papers that have together received 7.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (73 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Radiopharmaceutical Chemistry and Applications (28 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.0k citations), Otorhinolaryngology (374 citations) and Pulmonary and Respiratory Medicine (2.0k citations). Carl K. Hoh has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Michael E. Phelps, David R. Vera, Magnus Dahlbom, Jamshid Maddahi, Anne M. Wallace, Yong Choi, John A. Glaspy, Randall A. Hawkins, Christiaan Schiepers and Michael E. Phelps. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.
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.