Nina Johansson
- Cancer Research top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Immunology and Allergy top 2%
- Hematology top 5%
- Co-authors
- Veli‐Matti KähäriUlpu Saarialho‐KereKristiina AirolaReidar GrénmanArja‐Leena KariniemiMaarit VaalamoCarlos López-Otı́nRisto Ala‐aho
- Topics
- Protease and Inhibitor Mechanisms (13 papers)Peptidase Inhibition and Analysis (6 papers)TGF-β signaling in diseases (5 papers)
- Partner nations
- FinlandSwedenUnited Kingdom
In The Last Decade
Nina Johansson
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 1.1k
- Molecular Biology 865
- Oncology 680
- Immunology and Allergy 283
- Hematology 223
Countries citing papers authored by Nina Johansson
This map shows the geographic impact of Nina Johansson'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 Nina Johansson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Johansson more than expected).
Fields of papers citing papers by Nina Johansson
This network shows the impact of papers produced by Nina Johansson. 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 Nina Johansson. The network helps show where Nina Johansson may publish in the future.
Co-authorship network of co-authors of Nina Johansson
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Johansson. A scholar is included among the top collaborators of Nina Johansson 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 Nina Johansson. Nina Johansson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 16 | |
| 3 | 24 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | 45 | |
| 7 | 298 | |
| 8 | 48 | |
| 9 | 25 | |
| 10 | 109 | |
| 11 | Human TIMP-3 is expressed during fetal development, hair growth cycle, and cancer progression | 8 |
| 12 | 49 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 101 | |
| 16 | Collagenase-3 (matrix metalloproteinase-13) expression is induced in oral mucosal epithelium during chronic inflammation. | 123 |
| 17 | 226 | |
| 18 | 251 | |
| 19 | 152 | |
| 20 | Expression of collagenase-3 (matrix metalloproteinase-13) in squamous cell carcinomas of the head and neck. | 213 |
About Nina Johansson
Nina Johansson is a scholar working on Cancer Research, Immunology and Allergy and Hematology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (13 papers), Peptidase Inhibition and Analysis (6 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology and Allergy (283 citations) and Periodontics (116 citations). Nina Johansson has collaborated with scholars based in Finland, Sweden and United Kingdom. Frequent co-authors include Veli‐Matti Kähäri, Ulpu Saarialho‐Kere, Kristiina Airola, Reidar Grénman, Arja‐Leena Kariniemi, Maarit Vaalamo, Carlos López-Otı́n, Risto Ala‐aho, Norbert E. Fusenig and A L Kariniemi. Their work appears in journals such as Molecular and Cellular Biology, Oncogene and Journal of Cell Science.
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.