Veli‐Matti Kosma
- Oncology top 5%
- Molecular Biology
- Cell Biology top 5%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- P. LipponenMatti EskelinenRaija TammiMarkku TammiEsko AlhavaKirsi RopponenSeppo SaarikoskiKarí Syrjänen
- Topics
- Proteoglycans and glycosaminoglycans research (8 papers)Fibroblast Growth Factor Research (5 papers)AI in cancer detection (5 papers)
- Partner nations
- FinlandUnited StatesSpain
In The Last Decade
Veli‐Matti Kosma
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Oncology 711
- Molecular Biology 675
- Cell Biology 372
- Immunology 363
- Cancer Research 283
Countries citing papers authored by Veli‐Matti Kosma
This map shows the geographic impact of Veli‐Matti Kosma'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 Veli‐Matti Kosma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veli‐Matti Kosma more than expected).
Fields of papers citing papers by Veli‐Matti Kosma
This network shows the impact of papers produced by Veli‐Matti Kosma. 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 Veli‐Matti Kosma. The network helps show where Veli‐Matti Kosma may publish in the future.
Co-authorship network of co-authors of Veli‐Matti Kosma
This figure shows the co-authorship network connecting the top 25 collaborators of Veli‐Matti Kosma. A scholar is included among the top collaborators of Veli‐Matti Kosma 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 Veli‐Matti Kosma. Veli‐Matti Kosma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 35 | |
| 9 | 79 | |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 331 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | 48 | |
| 17 | 17 | |
| 18 | Reproducibility in morphometric assessment of positive staining for CEA in ovarian tumours | 2 |
| 19 | Item classification and grading: an approach to non-mathematical morphometry | 1 |
| 20 | Observer variation and reproducibility of grading: analysis of the postcapillary venules in human axillary lymph nodes using subjective and morphometric methods | 1 |
About Veli‐Matti Kosma
Veli‐Matti Kosma is a scholar working on Health Informatics, Cancer Research and Oncology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), Fibroblast Growth Factor Research (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Oncology (711 citations), Otorhinolaryngology (108 citations) and Cell Biology (372 citations). Veli‐Matti Kosma has collaborated with scholars based in Finland, United States and Spain. Frequent co-authors include P. Lipponen, Matti Eskelinen, Raija Tammi, Markku Tammi, Esko Alhava, Kirsi Ropponen, Seppo Saarikoski, Karí Syrjänen, Maarit Anttila and S. Aaltomaa. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and Radiology.
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.