Victoria L. Mango
- Radiology, Nuclear Medicine and Imaging top 2%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Richard HaRalph WynnSheldon FeldmanElizabeth A. MorrisMaxine S. JochelsonLauren FriedlanderDelia M. KeatingCynthia Thornton
- Topics
- Breast Lesions and Carcinomas (23 papers)Breast Cancer Treatment Studies (22 papers)Global Cancer Incidence and Screening (21 papers)
- Partner nations
- United StatesNigeriaSwitzerland
In The Last Decade
Victoria L. Mango
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 620
- Cancer Research 386
- Pathology and Forensic Medicine 381
- Artificial Intelligence 272
- Pulmonary and Respiratory Medicine 250
Countries citing papers authored by Victoria L. Mango
This map shows the geographic impact of Victoria L. Mango'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 Victoria L. Mango with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria L. Mango more than expected).
Fields of papers citing papers by Victoria L. Mango
This network shows the impact of papers produced by Victoria L. Mango. 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 Victoria L. Mango. The network helps show where Victoria L. Mango may publish in the future.
Co-authorship network of co-authors of Victoria L. Mango
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria L. Mango. A scholar is included among the top collaborators of Victoria L. Mango 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 Victoria L. Mango. Victoria L. Mango 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 | 0 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 0 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 42 | |
| 20 | 9 |
About Victoria L. Mango
Victoria L. Mango is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (23 papers), Breast Cancer Treatment Studies (22 papers) and Global Cancer Incidence and Screening (21 papers). The work is most often cited by research in Health Informatics (90 citations), Radiology, Nuclear Medicine and Imaging (620 citations) and Cancer Research (386 citations). Victoria L. Mango has collaborated with scholars based in United States, Nigeria and Switzerland. Frequent co-authors include Richard Ha, Ralph Wynn, Sheldon Feldman, Elizabeth A. Morris, Maxine S. Jochelson, Lauren Friedlander, Delia M. Keating, Cynthia Thornton, Elise Desperito and Chaya S. Moskowitz. Their work appears in journals such as PLoS ONE, 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.