Melissa A. Durand
- Pulmonary and Respiratory Medicine top 2%
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Cancer Research top 10%
- Co-authors
- Liane E. PhilpottsMadhavi RaghuJaime GeiselBrian M. HaasEmily F. ConantDonna PlechaDebra S. CopitSarah M. Friedewald
- Topics
- Digital Radiography and Breast Imaging (16 papers)AI in cancer detection (13 papers)Global Cancer Incidence and Screening (9 papers)
- Cited by
- Pulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingArtificial Intelligence
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Melissa A. Durand
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Pulmonary and Respiratory Medicine 1.2k
- Artificial Intelligence 1.0k
- Radiology, Nuclear Medicine and Imaging 761
- Oncology 543
- Cancer Research 215
Countries citing papers authored by Melissa A. Durand
This map shows the geographic impact of Melissa A. Durand'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 Melissa A. Durand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa A. Durand more than expected).
Fields of papers citing papers by Melissa A. Durand
This network shows the impact of papers produced by Melissa A. Durand. 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 Melissa A. Durand. The network helps show where Melissa A. Durand may publish in the future.
Co-authorship network of co-authors of Melissa A. Durand
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa A. Durand. A scholar is included among the top collaborators of Melissa A. Durand 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 Melissa A. Durand. Melissa A. Durand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 29 | |
| 5 | 4 | |
| 6 | 33 | |
| 7 | 17 | |
| 8 | 15 | |
| 9 | 48 | |
| 10 | 86 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 156 | |
| 14 | 62 | |
| 15 | 142 | |
| 16 | Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammographybreakdown → | 603 |
| 17 | 323 | |
| 18 | 9 |
About Melissa A. Durand
Melissa A. Durand is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (16 papers), AI in cancer detection (13 papers) and Global Cancer Incidence and Screening (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (761 citations) and Artificial Intelligence (1.0k citations). Melissa A. Durand has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Liane E. Philpotts, Madhavi Raghu, Jaime Geisel, Brian M. Haas, Emily F. Conant, Donna Plecha, Debra S. Copit, Sarah M. Friedewald, Regina J. Hooley and Elizabeth A. Rafferty. Their work appears in journals such as JAMA, Radiology and American Journal of Roentgenology.
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.