Björn Stenkvist
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Artificial Intelligence top 5%
- Co-authors
- Olle ErikssonEwert BengtssonSigrid LönnÅ RimstenJan VegeliusUlf LönnJ HolmquistSighild Westman‐Naeser
- Topics
- AI in cancer detection (16 papers)Cell Image Analysis Techniques (14 papers)Breast Cancer Treatment Studies (12 papers)
- Cited by
- Cancer ResearchOncologyBiophysics
- Partner nations
- SwedenNetherlandsPoland
In The Last Decade
Björn Stenkvist
94 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Oncology 629
- Molecular Biology 543
- Cancer Research 405
- Pathology and Forensic Medicine 267
- Artificial Intelligence 243
Countries citing papers authored by Björn Stenkvist
This map shows the geographic impact of Björn Stenkvist'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 Björn Stenkvist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Stenkvist more than expected).
Fields of papers citing papers by Björn Stenkvist
This network shows the impact of papers produced by Björn Stenkvist. 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 Björn Stenkvist. The network helps show where Björn Stenkvist may publish in the future.
Co-authorship network of co-authors of Björn Stenkvist
This figure shows the co-authorship network connecting the top 25 collaborators of Björn Stenkvist. A scholar is included among the top collaborators of Björn Stenkvist 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 Björn Stenkvist. Björn Stenkvist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 19 | |
| 4 | 23 | |
| 5 | 5 | |
| 6 | 32 | |
| 7 | 28 | |
| 8 | Morphometry of nuclei of the normal and malignant prostate in relation to DNA ploidy. | 24 |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 60 | |
| 15 | Cervical Pre-screening Using Computerized Image Analysis | 1 |
| 16 | Cardiac Glycosides and Breast Cancer Revised : Letter to the Editor | 1 |
| 17 | Bronchial carcinoma. I. A prospective five year study on an unselected carcinoma population in a Swedish county. | 14 |
| 18 | 38 | |
| 19 | A computerized recording system for cytopathologic diagnoses. | 1 |
| 20 | 22 |
About Björn Stenkvist
Björn Stenkvist is a scholar working on Biophysics, Microbiology and Cancer Research, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Cell Image Analysis Techniques (14 papers) and Breast Cancer Treatment Studies (12 papers). The work is most often cited by research in Cancer Research (405 citations), Oncology (629 citations) and Biophysics (111 citations). Björn Stenkvist has collaborated with scholars based in Sweden, Netherlands and Poland. Frequent co-authors include Olle Eriksson, Ewert Bengtsson, Sigrid Lönn, Å Rimsten, Jan Vegelius, Ulf Lönn, J Holmquist, Sighild Westman‐Naeser, B. Nordin and Torsten Jarkrans. Their work appears in journals such as New England Journal of Medicine, JAMA and Cancer.
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.