Anna-Maria Larsson
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Artificial Intelligence top 10%
- Health Informatics top 1%
- Immunology
- Co-authors
- Solveig HofvindKristina LångAldana RossoHanna SartorIngvar AnderssonStefan LarssonCharlotte HögbergLisa Rydén
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Erythropoietin and Anemia Treatment (2 papers)Global Cancer Incidence and Screening (2 papers)
In The Last Decade
Anna-Maria Larsson
9 papers receiving 459 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 167
- Oncology 162
- Artificial Intelligence 155
- Health Informatics 121
- Immunology 98
Countries citing papers authored by Anna-Maria Larsson
This map shows the geographic impact of Anna-Maria Larsson'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 Anna-Maria Larsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna-Maria Larsson more than expected).
Fields of papers citing papers by Anna-Maria Larsson
This network shows the impact of papers produced by Anna-Maria Larsson. 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 Anna-Maria Larsson. The network helps show where Anna-Maria Larsson may publish in the future.
Co-authorship network of co-authors of Anna-Maria Larsson
This figure shows the co-authorship network connecting the top 25 collaborators of Anna-Maria Larsson. A scholar is included among the top collaborators of Anna-Maria Larsson 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 Anna-Maria Larsson. Anna-Maria Larsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy studybreakdown → | 35 |
| 2 | 0 | |
| 3 | 13 | |
| 4 | Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy studybreakdown → | 237 |
| 5 | 11 | |
| 6 | 22 | |
| 7 | 115 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 12 |
About Anna-Maria Larsson
Anna-Maria Larsson is a scholar working on Health Informatics, Oncology and Cancer Research, having authored 10 papers that have together received 463 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Erythropoietin and Anemia Treatment (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Health Informatics (121 citations), Radiology, Nuclear Medicine and Imaging (167 citations) and Oncology (162 citations). Anna-Maria Larsson has collaborated with scholars based in Sweden, Israel and Norway. Frequent co-authors include Solveig Hofvind, Kristina Lång, Aldana Rosso, Hanna Sartor, Ingvar Andersson, Stefan Larsson, Charlotte Högberg, Lisa Rydén, Kristina Aaltonen and Caroline Bergenfelz. Their work appears in journals such as PLoS ONE, Cancer Research and The Lancet Oncology.
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.