Johan Lundin
Impact in
- Health Informatics top 1%
- Cancer Research top 1%
- Breast Cancer Treatment Studies
Papers in
- Oncology 34
- HER2/EGFR in Cancer Research 6
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- Glycosylation and Glycoproteins Research 9
- Co-authors
- Mikael Lundin (54 shared papers)Heikki Joensuu (35 shared papers)Caj Haglund (30 shared papers)Jorma Isola (28 shared papers)Stig Nordling (36 shared papers)Nina Linder (49 shared papers)Ari Ristimäki (8 shared papers)Riku Turkki (21 shared papers)
- Journals
- Oncology (12 papers)Diagnostic Pathology (8 papers)British Journal of Cancer (8 papers)Scientific Reports (6 papers)PLoS ONE (6 papers)
- Partner nations
- FinlandSwedenUnited States
In The Last Decade
Johan Lundin
156 papers receiving 7.4k citations
Johan Lundin's Hit Papers
Peers
Comparison fields: 5 of 175
- Health Informatics 135
- Cancer Research 1.2k
- Oncology 2.0k
- Radiology, Nuclear Medicine and Imaging 918
- Biophysics 236
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-authors
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
Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prognostic significance of elevated cyclooxygenase-2 expression in breast cancer. Hit paper breakdown → | 2002 | 672 |
| 2 | 2018 | 438 | |
| 3 | 2011 | 300 | |
| 4 | 2005 | 184 | |
| 5 | 2011 | 181 | |
| 6 | 2021 | 169 | |
| 7 | 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 |
| 8 | 2005 | 158 | |
| 9 | 2004 | 154 | |
| 10 | 2004 | 140 | |
| 11 | 2005 | 130 | |
| 12 | 2000 | 122 | |
| 13 | 1999 | 119 | |
| 14 | 2012 | 118 | |
| 15 | 2017 | 118 | |
| 16 | 2010 | 99 | |
| 17 | 2007 | 96 | |
| 18 | 1999 | 96 | |
| 19 | 1994 | 96 | |
| 20 | 2011 | 95 |
About Johan Lundin
Johan Lundin is a scholar working on Oncology, Molecular Biology, Cancer Research, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 160 papers that have together received 7.6k indexed citations. Recurring topics across this work include AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Cell Image Analysis Techniques (10 papers), Glycosylation and Glycoproteins Research (9 papers), Breast Cancer Treatment Studies (9 papers), Cancer Genomics and Diagnostics (9 papers), HER2/EGFR in Cancer Research (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Health Informatics (135 citations), Cancer Research (1.2k citations), Oncology (2.0k citations), Radiology, Nuclear Medicine and Imaging (918 citations) and Biophysics (236 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 PLoS ONE.
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.