Kaija Vasala
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 13
- Oncology 13
- Viral-associated cancers and disorders 6
- Neutropenia and Cancer Infections 3
- Co-authors
- Taina Turpeenniemi‐Hujanen (10 shared papers)Paavo Pääkkö (1 shared paper)Ilmo Kellokumpu (2 shared papers)Eero Sihvo (1 shared paper)Toni T. Seppälä (1 shared paper)Outi Kuittinen (15 shared papers)Esa Jantunen (5 shared papers)Hanne Kuitunen (13 shared papers)
In The Last Decade
Kaija Vasala
27 papers receiving 473 citations
Peers
Comparison fields: 5 of 53
- Hematology 91
- Pathology and Forensic Medicine 133
- Oncology 185
- Cancer Research 102
- Genetics 47
Countries citing papers authored by Kaija Vasala
This map shows the geographic impact of Kaija Vasala'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 Kaija Vasala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaija Vasala more than expected).
Fields of papers citing papers by Kaija Vasala
This network shows the impact of papers produced by Kaija Vasala. 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 Kaija Vasala. The network helps show where Kaija Vasala may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaija Vasala, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2003 | 73 | |
| 3 | 2006 | 41 | |
| 4 | 2013 | 26 | |
| 5 | 2007 | 26 | |
| 6 | Matrix metalloproteinase-9 (MMP-9) immunoreactive protein in urinary bladder cancer: a marker of favorable prognosis. | 2008 | 25 |
| 7 | 2018 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 18 | |
| 11 | 2008 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2019 | 14 | |
| 15 | Matrix metalloproteinase MMP-2 and MMP-9 and their inhibitors TIMP-1 and TIMP-2 in bladder carcinoma | 2008 | 12 |
| 16 | 2020 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2016 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2018 | 5 |
About Kaija Vasala
Kaija Vasala is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Neurology and Immunology, having authored 27 papers that have together received 496 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Hematopoietic Stem Cell Transplantation (6 papers), Viral-associated cancers and disorders (6 papers), Protease and Inhibitor Mechanisms (5 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Hematology (91 citations), Pathology and Forensic Medicine (133 citations), Oncology (185 citations), Cancer Research (102 citations) and Genetics (47 citations). Kaija Vasala has collaborated with scholars based in Finland, Spain and Denmark. Frequent co-authors include Taina Turpeenniemi‐Hujanen, Paavo Pääkkö, Ilmo Kellokumpu, Eero Sihvo, Toni T. Seppälä, Outi Kuittinen, Esa Jantunen, Hanne Kuitunen, Esa Jantunen and Ville Varmavuo. Their work appears in journals such as Transfusion, Acta Oncologica, Scientific Reports, Bone Marrow Transplantation and Carcinogenesis.
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.