Jacob Wynne
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Billy W. LooMaximilian DiehnRobert E. MerrittHeather A. WakeleeChih Long LiuAsh A. AlizadehAaron M. NewmanL.A. Modlin
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)Advanced Radiotherapy Techniques (11 papers)Medical Imaging Techniques and Applications (10 papers)
- Journals
- Nature MedicineInternational Journal of Radiation Oncology*Biology*PhysicsPhysics in Medicine and Biology
- Partner nations
- United States
In The Last Decade
Jacob Wynne
35 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 1.0k
- Oncology 751
- Molecular Biology 617
- Radiology, Nuclear Medicine and Imaging 426
Countries citing papers authored by Jacob Wynne
This map shows the geographic impact of Jacob Wynne'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 Jacob Wynne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Wynne more than expected).
Fields of papers citing papers by Jacob Wynne
This network shows the impact of papers produced by Jacob Wynne. 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 Jacob Wynne. The network helps show where Jacob Wynne may publish in the future.
Co-authorship network of co-authors of Jacob Wynne
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Wynne. A scholar is included among the top collaborators of Jacob Wynne 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 Jacob Wynne. Jacob Wynne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 52 | |
| 16 | 26 | |
| 17 | 150 | |
| 18 | 132 | |
| 19 | An ultrasensitive method for quantitating circulating tumor DNA with broad patient coveragebreakdown → | 1547 |
| 20 | 3 |
About Jacob Wynne
Jacob Wynne is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (11 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Pulmonary and Respiratory Medicine (1.0k citations) and Oncology (751 citations). Jacob Wynne has collaborated with scholars based in United States. Frequent co-authors include Billy W. Loo, Maximilian Diehn, Robert E. Merritt, Heather A. Wakelee, Chih Long Liu, Ash A. Alizadeh, Aaron M. Newman, L.A. Modlin, Scott V. Bratman and Joel W. Neal. Their work appears in journals such as Nature Medicine, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.
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.