Riitta Mäkitaro
- Molecular Biology
- Oncology
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Cell Biology
- Co-authors
- Paavo PääkköYlermi SoiniVL KinnulaRisto BloiguRiitta KaarteenahoMinna ErikssonVuokko L. KinnulaHenrik Alfthan
- Topics
- Lung Cancer Treatments and Mutations (5 papers)Lung Cancer Diagnosis and Treatment (4 papers)Lung Cancer Research Studies (4 papers)
In The Last Decade
Riitta Mäkitaro
15 papers receiving 530 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 229
- Oncology 214
- Pulmonary and Respiratory Medicine 204
- Cancer Research 168
- Cell Biology 104
Countries citing papers authored by Riitta Mäkitaro
This map shows the geographic impact of Riitta Mäkitaro'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 Riitta Mäkitaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riitta Mäkitaro more than expected).
Fields of papers citing papers by Riitta Mäkitaro
This network shows the impact of papers produced by Riitta Mäkitaro. 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 Riitta Mäkitaro. The network helps show where Riitta Mäkitaro may publish in the future.
Co-authorship network of co-authors of Riitta Mäkitaro
This figure shows the co-authorship network connecting the top 25 collaborators of Riitta Mäkitaro. A scholar is included among the top collaborators of Riitta Mäkitaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Riitta Mäkitaro. Riitta Mäkitaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 14 | |
| 3 | 33 | |
| 4 | 38 | |
| 5 | Slug is associated with poor survival in squamous cell carcinoma of the lung. | 17 |
| 6 | 46 | |
| 7 | 26 | |
| 8 | 24 | |
| 9 | 48 | |
| 10 | 28 | |
| 11 | Soluble syndecan-1 and serum basic fibroblast growth factor are new prognostic factors in lung cancer. | 133 |
| 12 | Elevated serum levels of type I collagen degradation marker ICTP and tissue inhibitor of metalloproteinase (TIMP) 1 are associated with poor prognosis in lung cancer. | 65 |
| 13 | A population-based study of lung cancer and benign intrathoracic tumors | 1 |
| 14 | 1 | |
| 15 | 35 |
About Riitta Mäkitaro
Riitta Mäkitaro is a scholar working on Neurology, Cancer Research and Oncology, having authored 15 papers that have together received 538 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Cancer Research (168 citations), Oncology (214 citations) and Immunology and Allergy (39 citations). Riitta Mäkitaro has collaborated with scholars based in Finland and Canada. Frequent co-authors include Paavo Pääkkö, Ylermi Soini, VL Kinnula, Risto Bloigu, Riitta Kaarteenaho, Minna Eriksson, Vuokko L. Kinnula, Henrik Alfthan, Sirpa Leppä and Heikki Joensuu. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, European Respiratory Journal and European 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.