T Hurskainen
- Cancer Research top 5%
- Oncology
- Hematology top 10%
- Molecular Biology
- Immunology and Allergy top 5%
- Co-authors
- Matti HöyhtyäHelena Autio‐HarmainenKarl TryggvasonA OikarinenPirkko HuhtalaPaula ReponenIrma ThesleffCarin Sahlberg
- Topics
- TGF-β signaling in diseases (4 papers)Protease and Inhibitor Mechanisms (4 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers)
- Journals
- Journal of Biological ChemistryExperimental Cell ResearchJournal of Histochemistry & Cytochemistry
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
T Hurskainen
15 papers receiving 606 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 349
- Oncology 177
- Hematology 150
- Molecular Biology 142
- Immunology and Allergy 130
Countries citing papers authored by T Hurskainen
This map shows the geographic impact of T Hurskainen'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 T Hurskainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hurskainen more than expected).
Fields of papers citing papers by T Hurskainen
This network shows the impact of papers produced by T Hurskainen. 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 T Hurskainen. The network helps show where T Hurskainen may publish in the future.
Co-authorship network of co-authors of T Hurskainen
This figure shows the co-authorship network connecting the top 25 collaborators of T Hurskainen. A scholar is included among the top collaborators of T Hurskainen 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 T Hurskainen. T Hurskainen 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 | 4 | |
| 3 | 21 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | 30 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 61 | |
| 10 | 90 | |
| 11 | Expression of 72 kilodalton type IV collagenase (gelatinase A) in benign and malignant ovarian tumors. | 100 |
| 12 | 70 K type IV collagenase (gelatinase). | 12 |
| 13 | Simultaneous expression of 70 kilodalton type IV collagenase and type IV collagen alpha 1 (IV) chain genes by cells of early human placenta and gestational endometrium. | 63 |
| 14 | 164 | |
| 15 | Collagen biosynthesis in lichen sclerosus et atrophicus studied by biochemical and in situ hybridization techniques. | 18 |
About T Hurskainen
T Hurskainen is a scholar working on Immunology and Allergy, Dermatology and Genetics, having authored 15 papers that have together received 629 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Cancer Research (349 citations), Immunology and Allergy (130 citations) and Hematology (150 citations). T Hurskainen has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Matti Höyhtyä, Helena Autio‐Harmainen, Karl Tryggvason, A Oikarinen, Pirkko Huhtala, Paula Reponen, Irma Thesleff, Carin Sahlberg, Ylermi Soini and Antti Kauppila. Their work appears in journals such as Journal of Biological Chemistry, Experimental Cell Research and Journal of Histochemistry & Cytochemistry.
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.