Johan E. Lundin
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- Health Informatics top 1%
Papers in
-
- Breast Cancer Treatment Studies 24
- Oncology 28
- Pancreatic and Hepatic Oncology Research 9
- Colorectal Cancer Treatments and Studies 7
- Co-authors
- Mikael Lundin (55 shared papers)Heikki Joensuu (33 shared papers)Caj H. Haglund (29 shared papers)Jorma J Isola (28 shared papers)Stig Nordling (36 shared papers)Nina Linder (46 shared papers)Ari Ristimäki (8 shared papers)Riku Turkki (17 shared papers)
In The Last Decade
Johan E. Lundin
155 papers receiving 8.4k citations
Johan E. Lundin's Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 1.3k
- Health Informatics 205
- Oncology 1.7k
- Artificial Intelligence 1.3k
- Pharmacology 444
Countries citing papers authored by Johan E. Lundin
This map shows the geographic impact of Johan E. 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 E. 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 E. Lundin more than expected).
Fields of papers citing papers by Johan E. Lundin
This network shows the impact of papers produced by Johan E. 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 E. Lundin. The network helps show where Johan E. Lundin may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan E. 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 158 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 | 694 |
| 2 | Deep learning based tissue analysis predicts outcome in colorectal cancer Hit paper breakdown → | 2018 | 504 |
| 3 | 2011 | 328 | |
| 4 | 2021 | 200 | |
| 5 | 2021 | 194 | |
| 6 | 2005 | 187 | |
| 7 | 2011 | 187 | |
| 8 | 2016 | 185 | |
| 9 | 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 | 172 |
| 10 | 2005 | 161 | |
| 11 | 2004 | 156 | |
| 12 | 2004 | 156 | |
| 13 | 2012 | 134 | |
| 14 | 2017 | 133 | |
| 15 | 1999 | 131 | |
| 16 | 2005 | 131 | |
| 17 | 2000 | 125 | |
| 18 | 2011 | 109 | |
| 19 | 2014 | 103 | |
| 20 | 1999 | 100 |
About Johan E. Lundin
Johan E. Lundin is a scholar working on Cancer Research, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Health Informatics, having authored 158 papers that have together received 8.7k indexed citations. Recurring topics across this work include AI in cancer detection (37 papers), Breast Cancer Treatment Studies (24 papers), Gastric Cancer Management and Outcomes (12 papers), Pancreatic and Hepatic Oncology Research (9 papers), Colorectal Cancer Treatments and Studies (7 papers), Virus-based gene therapy research (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Health Informatics (205 citations), Oncology (1.7k citations), Artificial Intelligence (1.3k citations) and Pharmacology (444 citations). Johan E. Lundin has collaborated with scholars based in Finland, Sweden and Germany. Frequent co-authors include Mikael Lundin, Heikki Joensuu, Caj H. Haglund, Jorma J Isola, Stig Nordling, Nina Linder, Ari Ristimäki, Riku Turkki, Tiina M. Salminen and Anna Sivula. Their work appears in journals such as Oncology, British Journal of Cancer, Diagnostic Pathology, Journal of Clinical Pathology and Scientific Reports.
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.