Lauri Eklund
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Angiogenesis and VEGF in Cancer 21
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- Cell Adhesion Molecules Research 18
- Co-authors
- Pipsa Saharinen (11 shared papers)Kari Alitalo (13 shared papers)B. R. Olsen (1 shared paper)J. Kangas (6 shared papers)Miikka Vikkula (7 shared papers)Nisha Limaye (6 shared papers)Petri Bono (1 shared paper)Raija Sormunen (11 shared papers)
- Journals
- Matrix Biology (4 papers)Circulation Research (3 papers)Journal of Clinical Investigation (3 papers)Proceedings of the National Academy of Sciences (3 papers)eLife (3 papers)
- Partner nations
- FinlandUnited StatesBelgium
In The Last Decade
Lauri Eklund
59 papers receiving 4.5k citations
Lauri Eklund's Hit Papers
Peers
Comparison fields: 5 of 130
- Immunology and Allergy 474
- Cancer Research 700
- Neurology 606
- Oncology 1.1k
- Molecular Biology 2.2k
Countries citing papers authored by Lauri Eklund
This map shows the geographic impact of Lauri Eklund'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 Lauri Eklund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauri Eklund more than expected).
Fields of papers citing papers by Lauri Eklund
This network shows the impact of papers produced by Lauri Eklund. 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 Lauri Eklund. The network helps show where Lauri Eklund may publish in the future.
Co-authors
The 25 scholars most cited alongside Lauri Eklund, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Therapeutic targeting of the angiopoietin–TIE pathway Hit paper breakdown → | 2017 | 428 |
| 2 | 2011 | 393 | |
| 3 | 2008 | 352 | |
| 4 | 2008 | 315 | |
| 5 | 2005 | 255 | |
| 6 | 2015 | 216 | |
| 7 | 2015 | 213 | |
| 8 | 2013 | 196 | |
| 9 | 2016 | 171 | |
| 10 | 2001 | 165 | |
| 11 | 2015 | 159 | |
| 12 | 2016 | 149 | |
| 13 | 2014 | 132 | |
| 14 | 2017 | 126 | |
| 15 | 2013 | 100 | |
| 16 | 2010 | 80 | |
| 17 | 2015 | 79 | |
| 18 | 2015 | 77 | |
| 19 | 2018 | 76 | |
| 20 | 2013 | 71 |
About Lauri Eklund
Lauri Eklund is a scholar working on Molecular Biology, Immunology and Allergy, Oncology, Neurology and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 4.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (21 papers), Cell Adhesion Molecules Research (18 papers), Lymphatic System and Diseases (9 papers), Vascular Tumors and Angiosarcomas (8 papers), Vascular Malformations Diagnosis and Treatment (7 papers), Cell Image Analysis Techniques (5 papers), Image Processing Techniques and Applications (5 papers) and Lipid metabolism and disorders (5 papers). The work is most often cited by research in Immunology and Allergy (474 citations), Cancer Research (700 citations), Neurology (606 citations), Oncology (1.1k citations) and Molecular Biology (2.2k citations). Lauri Eklund has collaborated with scholars based in Finland, United States and Belgium. Frequent co-authors include Pipsa Saharinen, Kari Alitalo, B. R. Olsen, J. Kangas, Miikka Vikkula, Nisha Limaye, Petri Bono, Raija Sormunen, Taina Pihlajaniemi and Mélanie Uebelhoer. Their work appears in journals such as Matrix Biology, Circulation Research, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and eLife.
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.