Katja Jarm
Impact in
-
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Cancer Risks and Factors
Papers in
- Oncology 10
- Global Cancer Incidence and Screening 10
- Colorectal Cancer Screening and Detection 5
- Cancer Risks and Factors 2
-
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Maja Primic Žakelj (4 shared papers)Urška Ivanuš (2 shared papers)Tina Žagar (4 shared papers)Vesna Zadnik (3 shared papers)Harry J. de Koning (2 shared papers)Sirpa Heinävaara (2 shared papers)Mateja Krajc (7 shared papers)Carlo Senore (3 shared papers)
- Journals
- Physics in Medicine and Biology (4 papers)PLoS ONE (2 papers)Cancers (1 paper)European Journal of Cancer Prevention (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- SloveniaUnited StatesBelgium
In The Last Decade
Katja Jarm
12 papers receiving 108 citations
Peers
Comparison fields: 5 of 46
- Oncology 65
- Health Informatics 1
- Pulmonary and Respiratory Medicine 24
- Radiology, Nuclear Medicine and Imaging 15
- Pathology and Forensic Medicine 11
Countries citing papers authored by Katja Jarm
This map shows the geographic impact of Katja Jarm'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 Katja Jarm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Jarm more than expected).
Fields of papers citing papers by Katja Jarm
This network shows the impact of papers produced by Katja Jarm. 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 Katja Jarm. The network helps show where Katja Jarm may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Jarm, 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 | 2017 | 56 | |
| 2 | 2023 | 13 | |
| 3 | 2018 | 11 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 0 |
About Katja Jarm
Katja Jarm is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 109 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers), Colorectal Cancer Screening and Detection (5 papers), Economic and Financial Impacts of Cancer (2 papers), Advanced X-ray and CT Imaging (2 papers), Cancer Risks and Factors (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Oncology (65 citations), Health Informatics (1 citation), Pulmonary and Respiratory Medicine (24 citations), Radiology, Nuclear Medicine and Imaging (15 citations) and Pathology and Forensic Medicine (11 citations). Katja Jarm has collaborated with scholars based in Slovenia, United States and Belgium. Frequent co-authors include Maja Primic Žakelj, Urška Ivanuš, Tina Žagar, Vesna Zadnik, Harry J. de Koning, Sirpa Heinävaara, Mateja Krajc, Carlo Senore, Nicolien T. van Ravesteyn and Nereo Segnan. Their work appears in journals such as Physics in Medicine and Biology, PLoS ONE, Cancers, European Journal of Cancer Prevention and International Journal of 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.