Irene Dankwa‐Mullan
- Health Informatics top 0.2%
- General Health Professions top 5%
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Kyu RheeJohn RuffinFrancisco S. SyYoonyoung ParkGretchen Purcell JacksonDilhan WeeraratneJane SnowdonAnita M. Preininger
- Topics
- Artificial Intelligence in Healthcare and Education (17 papers)Health Systems, Economic Evaluations, Quality of Life (10 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Irene Dankwa‐Mullan
53 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 301
- General Health Professions 281
- Public Health, Environmental and Occupational Health 259
- Artificial Intelligence 215
- Radiology, Nuclear Medicine and Imaging 183
Countries citing papers authored by Irene Dankwa‐Mullan
This map shows the geographic impact of Irene Dankwa‐Mullan'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 Irene Dankwa‐Mullan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Dankwa‐Mullan more than expected).
Fields of papers citing papers by Irene Dankwa‐Mullan
This network shows the impact of papers produced by Irene Dankwa‐Mullan. 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 Irene Dankwa‐Mullan. The network helps show where Irene Dankwa‐Mullan may publish in the future.
Co-authorship network of co-authors of Irene Dankwa‐Mullan
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Dankwa‐Mullan. A scholar is included among the top collaborators of Irene Dankwa‐Mullan 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 Irene Dankwa‐Mullan. Irene Dankwa‐Mullan 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 | Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practicebreakdown → | 37 |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 0 | |
| 9 | 39 | |
| 10 | 8 | |
| 11 | 76 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 104 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 12 |
About Irene Dankwa‐Mullan
Irene Dankwa‐Mullan is a scholar working on Health Informatics, General Health Professions and Economics and Econometrics, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (17 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Health Informatics (301 citations), Health Information Management (99 citations) and General Health Professions (281 citations). Irene Dankwa‐Mullan has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Kyu Rhee, John Ruffin, Francisco S. Sy, Yoonyoung Park, Gretchen Purcell Jackson, Dilhan Weeraratne, Jane Snowdon, Anita M. Preininger, Marc L. Rivo and Idalia M. Sanchez. Their work appears in journals such as Journal of Clinical Oncology, 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.