Johan Lundin
- Health Informatics top 1%
- Cancer Research top 1%
- Breast Cancer Treatment Studies 16
- Cancer Genomics and Diagnostics 11
- Oncology top 0.5%
- HER2/EGFR in Cancer Research 11
- Cancer-related Molecular Pathways 9
- Biophysics top 1%
- Cell Image Analysis Techniques 17
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- Radiomics and Machine Learning in Medical Imaging 22
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- AI in cancer detection 35
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- Glycosylation and Glycoproteins Research 12
- Co-authors
- Mikael LundinHeikki JoensuuCaj HaglundJorma IsolaStig NordlingNina LinderAri RistimäkiRiku Turkki
- Partner nations
- FinlandSwedenUnited States
In The Last Decade
Johan Lundin
154 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Health Informatics 142
- Cancer Research 1.6k
- Oncology 2.8k
- Biophysics 297
- Radiology, Nuclear Medicine and Imaging 1.2k
Countries citing papers authored by Johan Lundin
This map shows the geographic impact of Johan Lundin'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 Johan Lundin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Lundin more than expected).
Fields of papers citing papers by Johan Lundin
This network shows the impact of papers produced by Johan Lundin. 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 Johan Lundin. The network helps show where Johan Lundin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johan Lundin, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 9 | |
| 5 | 2020 | 54 | |
| 6 | 2018 | 53 | |
| 7 | 2018 | 26 | |
| 8 | 2011 | 27 | |
| 9 | 2011 | 181 | |
| 10 | 2011 | 296 | |
| 11 | 2011 | 49 | |
| 12 | 2007 | 95 | |
| 13 | 2005 | 159 | |
| 14 | 2005 | 74 | |
| 15 | 2005 | 30 | |
| 16 | Amplification of erbB2 and erbB2 expression are superior to estrogen receptor status as risk factors for distant recurrence in pT1N0M0 breast cancer: a nationwide population-based study. | 2003 | 161 |
| 17 | 2003 | 55 | |
| 18 | 1999 | 15 | |
| 19 | 1996 | 45 | |
| 20 | 1994 | 96 |
About Johan Lundin
Johan Lundin is a scholar working on Health Informatics, Biophysics, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 160 papers that have together received 7.5k indexed citations. Recurring topics across this work include AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Cell Image Analysis Techniques (17 papers), Breast Cancer Treatment Studies (16 papers), Glycosylation and Glycoproteins Research (12 papers), Cancer Genomics and Diagnostics (11 papers), HER2/EGFR in Cancer Research (11 papers) and Cancer-related Molecular Pathways (9 papers). The work is most often cited by research in Health Informatics (142 citations), Cancer Research (1.6k citations), Oncology (2.8k citations), Biophysics (297 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Johan Lundin has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Mikael Lundin, Heikki Joensuu, Caj Haglund, Jorma Isola, Stig Nordling, Nina Linder, Ari Ristimäki, Riku Turkki, Tiina Salminen and Caj Haglund. Their work appears in journals such as Oncology, Diagnostic Pathology, British Journal of Cancer, Scientific Reports 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.