J W Byng
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 1%
- Artificial Intelligence top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cancer Research top 2%
- Co-authors
- Martin J. YaffeDavid TritchlerRoberta A. JongGina LockwoodNorman F. BoydE FishellN F BoydL Little
- Topics
- Digital Radiography and Breast Imaging (10 papers)Global Cancer Incidence and Screening (6 papers)AI in cancer detection (6 papers)
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
J W Byng
15 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Pulmonary and Respiratory Medicine 2.2k
- Oncology 1.8k
- Artificial Intelligence 1.5k
- Radiology, Nuclear Medicine and Imaging 838
- Cancer Research 684
Countries citing papers authored by J W Byng
This map shows the geographic impact of J W Byng'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 J W Byng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J W Byng more than expected).
Fields of papers citing papers by J W Byng
This network shows the impact of papers produced by J W Byng. 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 J W Byng. The network helps show where J W Byng may publish in the future.
Co-authorship network of co-authors of J W Byng
This figure shows the co-authorship network connecting the top 25 collaborators of J W Byng. A scholar is included among the top collaborators of J W Byng 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 J W Byng. J W Byng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | Macronutrient intake and change in mammographic density at menopause: results from a randomized trial. | 65 |
| 3 | 194 | |
| 4 | 59 | |
| 5 | 60 | |
| 6 | 111 | |
| 7 | Mammographic densities and breast cancer risk.breakdown → | 651 |
| 8 | 44 | |
| 9 | 189 | |
| 10 | 66 | |
| 11 | 135 | |
| 12 | 170 | |
| 13 | Plasma lipids, lipoproteins, and mammographic densities. | 64 |
| 14 | Quantitative Classification of Mammographic Densities and Breast Cancer Risk: Results From the Canadian National Breast Screening Studybreakdown → | 868 |
| 15 | The quantitative analysis of mammographic densitiesbreakdown → | 495 |
About J W Byng
J W Byng is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine, having authored 15 papers that have together received 3.2k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (10 papers), Global Cancer Incidence and Screening (6 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.2k citations), Oncology (1.8k citations) and Artificial Intelligence (1.5k citations). J W Byng has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Martin J. Yaffe, David Tritchler, Roberta A. Jong, Gina Lockwood, Norman F. Boyd, E Fishell, N F Boyd, L Little, Anthony B. Miller and Geoffrey Lockwood. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Radiology and British Journal of 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.