Jonathan C. Henriksen
- Molecular Biology
- Oncology
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Co-authors
- Stephen C. SchmechelAnthony E. RizzardiGregory J. MetzgerRachel I. VogelStefan E. PambuccianAmy P.N. SkubitzArthur T. JohnsonJoseph S. Koopmeiners
- Topics
- AI in cancer detection (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Alzheimer's disease research and treatments (3 papers)
- Journals
- PLoS ONECancerCancer Research
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Jonathan C. Henriksen
19 papers receiving 809 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 227
- Oncology 154
- Pulmonary and Respiratory Medicine 149
- Radiology, Nuclear Medicine and Imaging 149
- Physiology 135
Countries citing papers authored by Jonathan C. Henriksen
This map shows the geographic impact of Jonathan C. Henriksen'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 Jonathan C. Henriksen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Henriksen more than expected).
Fields of papers citing papers by Jonathan C. Henriksen
This network shows the impact of papers produced by Jonathan C. Henriksen. 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 Jonathan C. Henriksen. The network helps show where Jonathan C. Henriksen may publish in the future.
Co-authorship network of co-authors of Jonathan C. Henriksen
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. Henriksen. A scholar is included among the top collaborators of Jonathan C. Henriksen 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 Jonathan C. Henriksen. Jonathan C. Henriksen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 75 | |
| 5 | 33 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 41 | |
| 9 | 31 | |
| 10 | 81 | |
| 11 | 35 | |
| 12 | 37 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 18 | |
| 17 | 335 | |
| 18 | 24 | |
| 19 | 17 |
About Jonathan C. Henriksen
Jonathan C. Henriksen is a scholar working on Health Informatics, Aging and Family Practice, having authored 19 papers that have together received 819 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Biophysics (54 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Cancer Research (95 citations). Jonathan C. Henriksen has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Stephen C. Schmechel, Anthony E. Rizzardi, Gregory J. Metzger, Rachel I. Vogel, Stefan E. Pambuccian, Amy P.N. Skubitz, Arthur T. Johnson, Joseph S. Koopmeiners, H. Evin Gulbahce and Christopher A. Warlick. Their work appears in journals such as PLoS ONE, Cancer and Cancer Research.
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.