Niklas Ekman
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- NF-κB Signaling Pathways
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- PI3K/AKT/mTOR signaling in cancer 2
-
- Cell Adhesion Molecules Research 6
- Co-authors
- Kari Alitalo (9 shared papers)Pipsa Saharinen (4 shared papers)Pekka Katajisto (3 shared papers)Kari Vaahtomeri (3 shared papers)Tomi P. Mäkelä (3 shared papers)Olli Silvennoinen (3 shared papers)Zhenhua Wu (1 shared paper)Peter J. Parker (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Blood (2 papers)Molecular Biology of the Cell (1 paper)Nature Genetics (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Niklas Ekman
12 papers receiving 867 citations
Peers
Comparison fields: 5 of 74
- Immunology and Allergy 114
- Cancer Research 174
- Oncology 285
- Molecular Biology 597
- Pathology and Forensic Medicine 141
Countries citing papers authored by Niklas Ekman
This map shows the geographic impact of Niklas Ekman'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 Niklas Ekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas Ekman more than expected).
Fields of papers citing papers by Niklas Ekman
This network shows the impact of papers produced by Niklas Ekman. 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 Niklas Ekman. The network helps show where Niklas Ekman may publish in the future.
Co-authors
The 25 scholars most cited alongside Niklas Ekman, 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 | 2005 | 161 | |
| 2 | 2003 | 134 | |
| 3 | 1997 | 106 | |
| 4 | 2006 | 96 | |
| 5 | 2008 | 92 | |
| 6 | 2001 | 70 | |
| 7 | 1997 | 66 | |
| 8 | 2003 | 56 | |
| 9 | 2000 | 35 | |
| 10 | 2004 | 32 | |
| 11 | 2008 | 32 | |
| 12 | 1997 | 6 | |
| 13 | Handling Big Data using a Distributed Search Engine : Preparing Log Data for On-Demand Analysis | 2017 | 1 |
| 14 | Biosimilaarit - lääkealan kuuma peruna 2013 | 2013 | 1 |
About Niklas Ekman
Niklas Ekman is a scholar working on Molecular Biology, Immunology and Allergy, Oncology, Immunology and Cell Biology, having authored 14 papers that have together received 888 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Cytokine Signaling Pathways and Interactions (2 papers), Genetic factors in colorectal cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Immunology and Allergy (114 citations), Cancer Research (174 citations), Oncology (285 citations), Molecular Biology (597 citations) and Pathology and Forensic Medicine (141 citations). Niklas Ekman has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Kari Alitalo, Pipsa Saharinen, Pekka Katajisto, Kari Vaahtomeri, Tomi P. Mäkelä, Olli Silvennoinen, Zhenhua Wu, Peter J. Parker, Min Wang and Rong Zhang. Their work appears in journals such as Journal of Biological Chemistry, Blood, Molecular Biology of the Cell, Nature Genetics and The Journal of Cell Biology.
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.