Maréne Landström
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Molecular Biology top 2%
- TGF-β signaling in diseases
- Cancer-related gene regulation
- Bone Metabolism and Diseases
Papers in
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- NF-κB Signaling Pathways 10
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- TGF-β signaling in diseases 37
- Ubiquitin and proteasome pathways 7
- Wnt/β-catenin signaling in development and cancer 6
- Co-authors
- Carl‐Henrik HeldinShyam Kumar GudeyYabing MuAristidis MoustakasSofia EdlundPontus AspenströmAnders BerghNoopur Thakur
In The Last Decade
Maréne Landström
79 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 1.0k
- Molecular Biology 3.2k
- Oncology 1.3k
- Immunology and Allergy 206
- Pathology and Forensic Medicine 587
Countries citing papers authored by Maréne Landström
This map shows the geographic impact of Maréne Landström'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 Maréne Landström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maréne Landström more than expected).
Fields of papers citing papers by Maréne Landström
This network shows the impact of papers produced by Maréne Landström. 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 Maréne Landström. The network helps show where Maréne Landström may publish in the future.
Co-authors
The 25 scholars most cited alongside Maréne Landström, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 9 | |
| 6 | 2019 | 27 | |
| 7 | 2017 | 172 | |
| 8 | 2017 | 39 | |
| 9 | 2011 | 450 | |
| 10 | 2009 | 15 | |
| 11 | 2005 | 31 | |
| 12 | 2005 | 10 | |
| 13 | Effects of 2-ME on proliferation, apoptosis and PET-tracer uptake in human prostate cancer cell aggregates | 2004 | 1 |
| 14 | 2003 | 197 | |
| 15 | 2002 | 356 | |
| 16 | 2000 | 84 | |
| 17 | 1998 | 97 | |
| 18 | 1998 | 22 | |
| 19 | 1997 | 8 | |
| 20 | 1992 | 8 |
About Maréne Landström
Maréne Landström is a scholar working on Cancer Research, Molecular Biology, Oncology, Oral Surgery and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 4.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (37 papers), Prostate Cancer Treatment and Research (14 papers), NF-κB Signaling Pathways (10 papers), Estrogen and related hormone effects (9 papers), Ubiquitin and proteasome pathways (7 papers), Cancer-related Molecular Pathways (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (3.2k citations), Oncology (1.3k citations), Immunology and Allergy (206 citations) and Pathology and Forensic Medicine (587 citations). Maréne Landström has collaborated with scholars based in Sweden, China and Finland. Frequent co-authors include Carl‐Henrik Heldin, Shyam Kumar Gudey, Yabing Mu, Aristidis Moustakas, Sofia Edlund, Pontus Aspenström, Anders Bergh, Noopur Thakur, Peter ten Dijke and Norbert Schuster. Their work appears in journals such as The Prostate, Cell Cycle, Journal of Biological Chemistry, Oncotarget 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.