James Franklin
- Cell Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Jan LiphardtKun‐Liang GuanZhengMing WuFergus GleesonEhsan BanHailong WangVivek B. ShenoyKevin M. Bradley
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Medical Imaging Techniques and Applications (6 papers)Lung Cancer Diagnosis and Treatment (6 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
James Franklin
34 papers receiving 983 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cell Biology 286
- Radiology, Nuclear Medicine and Imaging 221
- Oncology 207
- Biomedical Engineering 191
- Molecular Biology 175
Countries citing papers authored by James Franklin
This map shows the geographic impact of James Franklin'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 James Franklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Franklin more than expected).
Fields of papers citing papers by James Franklin
This network shows the impact of papers produced by James Franklin. 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 James Franklin. The network helps show where James Franklin may publish in the future.
Co-authorship network of co-authors of James Franklin
This figure shows the co-authorship network connecting the top 25 collaborators of James Franklin. A scholar is included among the top collaborators of James Franklin 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 James Franklin. James Franklin 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 | 34 | |
| 5 | 1 | |
| 6 | 41 | |
| 7 | 32 | |
| 8 | 11 | |
| 9 | 59 | |
| 10 | 7 | |
| 11 | 117 | |
| 12 | 32 | |
| 13 | 20 | |
| 14 | 17 | |
| 15 | 17 | |
| 16 | Decision theory and cost-benefit analysis of re-staging oesophageal cancer after neoadjuvant chemotherapy with PET-CT rather than CT | 2 |
| 17 | 68 | |
| 18 | 14 | |
| 19 | 22 | |
| 20 | The outcome of 267 Philadelphia positive adults in the international UKALL12/ECOG E 2993 study. Final analysis and the role of allogeneic transplant in those under 50 years. | 9 |
About James Franklin
James Franklin is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 37 papers that have together received 989 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Cell Biology (286 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Biophysics (54 citations). James Franklin has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jan Liphardt, Kun‐Liang Guan, ZhengMing Wu, Fergus Gleeson, Ehsan Ban, Hailong Wang, Vivek B. Shenoy, Kevin M. Bradley, Eugene Teoh and Quanming Shi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature reviews. Cancer.
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.