David Farnell
- Obstetrics and Gynecology top 5%
- Reproductive Medicine top 10%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- C. Blake GilksAli BashashatiDavid G. HuntsmanDaniel A. GamacheG. GraffLori K. WeimerJohn M. YanniSteven T. Miller
- Topics
- AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Colorectal Cancer Screening and Detection (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
David Farnell
21 papers receiving 378 citations
Peers
Comparison fields: 5 of 59
- Obstetrics and Gynecology 97
- Reproductive Medicine 95
- Artificial Intelligence 90
- Public Health, Environmental and Occupational Health 69
- Radiology, Nuclear Medicine and Imaging 69
Countries citing papers authored by David Farnell
This map shows the geographic impact of David Farnell'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 David Farnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Farnell more than expected).
Fields of papers citing papers by David Farnell
This network shows the impact of papers produced by David Farnell. 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 David Farnell. The network helps show where David Farnell may publish in the future.
Co-authorship network of co-authors of David Farnell
This figure shows the co-authorship network connecting the top 25 collaborators of David Farnell. A scholar is included among the top collaborators of David Farnell 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 David Farnell. David Farnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 42 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 44 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 89 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 96 |
About David Farnell
David Farnell is a scholar working on Transplantation, Biophysics and Oncology, having authored 22 papers that have together received 383 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Obstetrics and Gynecology (97 citations), Reproductive Medicine (95 citations) and Immunology and Allergy (67 citations). David Farnell has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include C. Blake Gilks, Ali Bashashati, David G. Huntsman, Daniel A. Gamache, G. Graff, Lori K. Weimer, John M. Yanni, Steven T. Miller, Milton T. Brady and Joan M. Spellman. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.