Kimmo Porkka
- Molecular Biology top 2%
- Hematology top 0.2%
- Genetics top 0.2%
- Cancer Research top 1%
- Oncology top 2%
- Co-authors
- Tapio VisakorpiErkki RuoslahtiJorma ViikariPirjo LaakkonenSatu MustjokiTeuvo L.J. TammelaRobert L. VessellaJason A. Hoffman
- Topics
- Chronic Myeloid Leukemia Treatments (91 papers)Chronic Lymphocytic Leukemia Research (88 papers)Acute Myeloid Leukemia Research (47 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Kimmo Porkka
224 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 3.5k
- Hematology 3.2k
- Genetics 2.5k
- Cancer Research 1.6k
- Oncology 1.5k
Countries citing papers authored by Kimmo Porkka
This map shows the geographic impact of Kimmo Porkka'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 Kimmo Porkka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimmo Porkka more than expected).
Fields of papers citing papers by Kimmo Porkka
This network shows the impact of papers produced by Kimmo Porkka. 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 Kimmo Porkka. The network helps show where Kimmo Porkka may publish in the future.
Co-authorship network of co-authors of Kimmo Porkka
This figure shows the co-authorship network connecting the top 25 collaborators of Kimmo Porkka. A scholar is included among the top collaborators of Kimmo Porkka 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 Kimmo Porkka. Kimmo Porkka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 36 | |
| 10 | 38 | |
| 11 | 19 | |
| 12 | 67 | |
| 13 | 37 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | Lymphoid somatic mutations in multiple sclerosis | 2 |
| 17 | No evidence of linkage between familial combined hyperlipidemia and genes encoding lipolytic enzymes. | 0 |
| 18 | MicroRNA Expression Profiling in Prostate Cancerbreakdown → | 758 |
| 19 | Nucleolin expressed at the cell surface is a marker of endothelial cells in tumor blood vessels | 17 |
| 20 | 171 |
About Kimmo Porkka
Kimmo Porkka is a scholar working on Hematology, Genetics and Rheumatology, having authored 231 papers that have together received 9.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (91 papers), Chronic Lymphocytic Leukemia Research (88 papers) and Acute Myeloid Leukemia Research (47 papers). The work is most often cited by research in Hematology (3.2k citations), Genetics (2.5k citations) and Cancer Research (1.6k citations). Kimmo Porkka has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Tapio Visakorpi, Erkki Ruoslahti, Jorma Viikari, Pirjo Laakkonen, Satu Mustjoki, Teuvo L.J. Tammela, Robert L. Vessella, Jason A. Hoffman, Simo Taimela and Kati K. Waltering. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.
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.