Torsten Jarkrans
Impact in
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- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 6
- Oncology 5
- Cancer Cells and Metastasis 2
- Colorectal Cancer Screening and Detection 2
- Co-authors
- Ewert Bengtsson (13 shared papers)Björn Stenkvist (12 shared papers)Olle Eriksson (12 shared papers)Bo Nordin (8 shared papers)Sighild Westman‐Naeser (3 shared papers)B. Nordin (4 shared papers)Kenneth Wester (2 shared papers)Janos Vasko (2 shared papers)
- Journals
- Cytometry (2 papers)Cancer (1 paper)Analytical Cellular Pathology (1 paper)The American Journal of Surgery (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- SwedenSouth Korea
In The Last Decade
Torsten Jarkrans
15 papers receiving 299 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 116
- Biophysics 46
- Pathology and Forensic Medicine 55
- Artificial Intelligence 109
- Oncology 74
Countries citing papers authored by Torsten Jarkrans
This map shows the geographic impact of Torsten Jarkrans'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 Torsten Jarkrans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Jarkrans more than expected).
Fields of papers citing papers by Torsten Jarkrans
This network shows the impact of papers produced by Torsten Jarkrans. 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 Torsten Jarkrans. The network helps show where Torsten Jarkrans may publish in the future.
Co-authors
The 14 scholars most cited alongside Torsten Jarkrans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 70 | |
| 2 | 1983 | 63 | |
| 3 | 1997 | 37 | |
| 4 | Grading of transitional cell bladder carcinoma by image analysis of histological sections. | 1994 | 30 |
| 5 | 1981 | 27 | |
| 6 | 1981 | 19 | |
| 7 | 1981 | 18 | |
| 8 | 1981 | 17 | |
| 9 | Algorithms for Cluster Analysis | 1983 | 17 |
| 10 | Image cytometry in malignancy grading of breast cancer. Results in a prospective study with seven years of follow-up. | 1986 | 16 |
| 11 | 1982 | 4 | |
| 12 | Algorithms for Cell Image Analysis in Cytology and Pathology | 1996 | 3 |
| 13 | Cardiac Glycosides and Breast Cancer Revised : Letter to the Editor | 1982 | 1 |
| 14 | Cervical Pre-screening Using Computerized Image Analysis | 1983 | 1 |
| 15 | 1985 | 1 |
About Torsten Jarkrans
Torsten Jarkrans is a scholar working on Artificial Intelligence, Oncology, Biophysics, Cancer Research and Surgery, having authored 15 papers that have together received 324 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Breast Cancer Treatment Studies (4 papers), Cell Image Analysis Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Screening and Detection (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Breast Lesions and Carcinomas (1 paper). The work is most often cited by research in Cancer Research (116 citations), Biophysics (46 citations), Pathology and Forensic Medicine (55 citations), Artificial Intelligence (109 citations) and Oncology (74 citations). Torsten Jarkrans has collaborated with scholars based in Sweden and South Korea. Frequent co-authors include Ewert Bengtsson, Björn Stenkvist, Olle Eriksson, Bo Nordin, Sighild Westman‐Naeser, B. Nordin, Kenneth Wester, Janos Vasko, Gunnar Eklund and Heung‐Kook Choi. Their work appears in journals such as Cytometry, Cancer, Analytical Cellular Pathology, The American Journal of Surgery and Journal of Clinical Pathology.
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.